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Update test suite to include new error correction tests and improve w…
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…arning handling
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kasinadhsarma committed Dec 26, 2024
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Showing 1 changed file with 14 additions and 33 deletions.
47 changes: 14 additions & 33 deletions test.txt
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platform linux -- Python 3.10.12, pytest-8.3.4, pluggy-1.5.0
rootdir: /home/kasinadhsarma/experiment/cognition-l3-experiment
plugins: cov-6.0.0, anyio-4.7.0
collected 87 items
collected 114 items

tests/benchmarks/test_arc_reasoning.py ....... [ 8%]
tests/benchmarks/test_bigbench_reasoning.py ..... [ 13%]
tests/test_consciousness.py .......... [ 25%]
tests/test_environment.py .....s.. [ 34%]
tests/unit/attention/test_attention.py ...... [ 41%]
tests/unit/attention/test_attention_mechanisms.py ....... [ 49%]
tests/unit/integration/test_cognitive_integration.py ...... [ 56%]
tests/unit/integration/test_state_management.py ...... [ 63%]
tests/unit/memory/test_integration.py ...... [ 70%]
tests/unit/memory/test_memory.py .......... [ 81%]
tests/unit/memory/test_memory_components.py .......... [ 93%]
tests/benchmarks/test_arc_reasoning.py ....... [ 6%]
tests/benchmarks/test_bigbench_reasoning.py ..... [ 10%]
tests/test_consciousness.py ............................ [ 35%]
tests/test_environment.py .....s.. [ 42%]
tests/test_error_correction.py ......... [ 50%]
tests/unit/attention/test_attention.py ...... [ 55%]
tests/unit/attention/test_attention_mechanisms.py ....... [ 61%]
tests/unit/integration/test_cognitive_integration.py ...... [ 66%]
tests/unit/integration/test_state_management.py ...... [ 71%]
tests/unit/memory/test_integration.py ...... [ 77%]
tests/unit/memory/test_memory.py .......... [ 85%]
tests/unit/memory/test_memory_components.py .......... [ 94%]
tests/unit/state/test_consciousness_state_management.py ...... [100%]

=============================== warnings summary ===============================
../../.local/lib/python3.10/site-packages/torch/__init__.py:1144
/home/kasinadhsarma/.local/lib/python3.10/site-packages/torch/__init__.py:1144: UserWarning: torch.set_default_tensor_type() is deprecated as of PyTorch 2.1, please use torch.set_default_dtype() and torch.set_default_device() as alternatives. (Triggered internally at ../torch/csrc/tensor/python_tensor.cpp:432.)
_C._set_default_tensor_type(t)

tests/benchmarks/test_arc_reasoning.py: 7 warnings
tests/benchmarks/test_bigbench_reasoning.py: 5 warnings
tests/test_consciousness.py: 7 warnings
/home/kasinadhsarma/experiment/cognition-l3-experiment/models/consciousness_model.py:126: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
inputs = {k: torch.tensor(v, dtype=torch.float32) for k, v in inputs.items()}

tests/benchmarks/test_arc_reasoning.py: 7 warnings
tests/benchmarks/test_bigbench_reasoning.py: 5 warnings
tests/test_consciousness.py: 7 warnings
/home/kasinadhsarma/experiment/cognition-l3-experiment/models/consciousness_model.py:160: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
{k: torch.tensor(v, dtype=torch.float32) for k, v in inputs.items()},

tests/test_consciousness.py::TestConsciousnessModel::test_model_save_load
/home/kasinadhsarma/experiment/cognition-l3-experiment/tests/test_consciousness.py:171: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
loaded_model.load_state_dict(torch.load(model_path))

tests/unit/memory/test_memory.py::TestMemoryComponents::test_memory_save_load
/home/kasinadhsarma/experiment/cognition-l3-experiment/tests/unit/memory/test_memory.py:221: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
loaded_memory.load_state_dict(torch.load(model_path))

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================== 86 passed, 1 skipped, 41 warnings in 5.70s ==================
================== 113 passed, 1 skipped, 1 warning in 8.94s ===================

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