bug fix len vs any

src/cr/cube/matrix/subtotals.py

@@ -459,8 +459,9 @@ def _subtotal_columns(self):
 
     def _subtotal_column(self, subtotal, default):
         """Return (n_rows,) ndarray of values for `subtotal` column."""
-        if self._dimensions[1].dimension_type == DT.CAT_DATE and any(
-            subtotal.subtrahend_idxs
+        if (
+            self._dimensions[1].dimension_type == DT.CAT_DATE
+            and len(subtotal.subtrahend_idxs) > 0
         ):
             if self._multiple_subtrahends_or_addends(subtotal):
                 return self._nan_subtotals(axis=0)
@@ -480,9 +481,9 @@ def _subtotal_column(self, subtotal, default):
 
     def _subtotal_row(self, subtotal, default):
         """Return (n_cols,) ndarray of values for `subtotal` row."""
-
-        if self._dimensions[0].dimension_type == DT.CAT_DATE and any(
-            subtotal.subtrahend_idxs
+        if (
+            self._dimensions[0].dimension_type == DT.CAT_DATE
+            and len(subtotal.subtrahend_idxs) > 0
         ):
             if self._multiple_subtrahends_or_addends(subtotal):
                 return self._nan_subtotals(axis=1)

tests/unit/matrix/test_subtotals.py

@@ -7,12 +7,14 @@
 import pytest
 
 from cr.cube.dimension import Dimension, _Subtotal
+from cr.cube.enums import DIMENSION_TYPE as DT
 from cr.cube.matrix.subtotals import (
     _BaseSubtotals,
     NanSubtotals,
     NegativeTermSubtotals,
     PositiveTermSubtotals,
     SumSubtotals,
+    WaveDiffSubtotal,
 )
 
 from ...unitutil import ANY, initializer_mock, instance_mock, method_mock, property_mock
@@ -355,6 +357,102 @@ def subtotal_(self, request):
         return instance_mock(request, _Subtotal)
 
 
+class TestWaveDiffSubtotals:
+    """Unit test suite for `cr.cube.matrix.WaveDiffSubtotal` object."""
+
+    def test_it_provides_a_subtotal_columns_interface_method(
+        self, request, dimensions_, _init_
+    ):
+        base_values = [[0, 4], [7, 9]]
+        counts = [[10, 20], [30, 40]]
+        default_insertions = [[0.1, 0.2], [0.3, 0.4]]
+        property_mock(
+            request,
+            WaveDiffSubtotal,
+            "_subtotal_columns",
+            return_value=np.array([[1, 2], [3, 4]]),
+        )
+
+        subtotal_columns = WaveDiffSubtotal.subtotal_columns(
+            base_values, counts, default_insertions, dimensions_
+        )
+
+        _init_.assert_called_once_with(
+            ANY, base_values, counts, default_insertions, dimensions_
+        )
+        assert subtotal_columns.tolist() == [[1, 2], [3, 4]]
+
+    def test_it_provides_a_subtotal_rows_interface_method(
+        self, request, dimensions_, _init_
+    ):
+        base_values = [[4, 1], [3, 5]]
+        counts = [[10, 20], [30, 40]]
+        default_insertions = [[0.1, 0.2], [0.3, 0.4]]
+        property_mock(
+            request,
+            WaveDiffSubtotal,
+            "_subtotal_rows",
+            return_value=np.array([[4, 3], [2, 1]]),
+        )
+
+        subtotal_rows = WaveDiffSubtotal.subtotal_rows(
+            base_values, counts, default_insertions, dimensions_
+        )
+
+        _init_.assert_called_once_with(
+            ANY, base_values, counts, default_insertions, dimensions_
+        )
+        assert subtotal_rows.tolist() == [[4, 3], [2, 1]]
+
+    def test_renders_row_wave_diff_under_specific_conditions(
+        self, dimensions_, subtotal_
+    ):
+        dimensions_[1].dimension_type = DT.CAT
+        dimensions_[0].dimension_type = DT.CAT_DATE
+        subtotal_.subtrahend_idxs = [0]
+        subtotal_.addend_idxs = [1]
+        base_values = np.array([[4, 1], [3, 5]])
+        counts = np.array([[10, 20], [30, 40]])
+        default_insertion = [0.1, 0.2]
+
+        subtotal = WaveDiffSubtotal(base_values, counts, default_insertion, dimensions_)
+
+        assert subtotal._subtotal_row(subtotal_, default_insertion) == pytest.approx(
+            np.array([7.5, -12.0])
+        )
+
+    def test_renders_col_wave_diff_under_specific_conditions(
+        self, dimensions_, subtotal_
+    ):
+        dimensions_[1].dimension_type = DT.CAT_DATE
+        dimensions_[0].dimension_type = DT.CAT
+        subtotal_.subtrahend_idxs = [0]
+        subtotal_.addend_idxs = [1]
+        base_values = np.array([[4, 1], [3, 5]])
+        counts = np.array([[10, 20], [30, 40]])
+        default_insertion = [0.1, 0.2]
+
+        subtotal = WaveDiffSubtotal(base_values, counts, default_insertion, dimensions_)
+
+        assert subtotal._subtotal_column(subtotal_, default_insertion) == pytest.approx(
+            np.array([17.5, -2.0])
+        )
+
+    # --- fixture components -----------------------------------------
+
+    @pytest.fixture
+    def dimensions_(self, request):
+        return (instance_mock(request, Dimension), instance_mock(request, Dimension))
+
+    @pytest.fixture
+    def _init_(self, request):
+        return initializer_mock(request, WaveDiffSubtotal)
+
+    @pytest.fixture
+    def subtotal_(self, request):
+        return instance_mock(request, _Subtotal)
+
+
 class TestSumSubtotals:
     """Unit test suite for `cr.cube.matrix.SumSubtotals` object."""