fix formatting

Author: ernestoarbitrio

src/cr/cube/matrix/measure.py

@@ -1621,7 +1621,7 @@ def _base_values(self):
         in this example (2,3).
         """
         # --- Use "body" reference values for base values
-        (ref_props, ref_bases) = self._reference_values(0)
+        ref_props, ref_bases = self._reference_values(0)
         return self._calculate_t_stats(
             self._proportions[0][0], self._column_bases[0][0], ref_props, ref_bases
         )
@@ -1709,9 +1709,9 @@ def _calculate_t_stats(self, props, bases, ref_props, ref_bases):
 
     @lazyproperty
     def _intersections(self):
-        "2D ndarray np.float64 of the t-stats for the intersections (4th block)" ""
+        """2D ndarray np.float64 of the t-stats for the intersections (4th block)"""
         # --- Use "inserted" reference values for intersections
-        (ref_props, ref_variance) = self._reference_values(1)
+        ref_props, ref_variance = self._reference_values(1)
         return self._calculate_t_stats(
             self._proportions[1][1], self._column_bases[1][1], ref_props, ref_variance
         )
@@ -1725,7 +1725,7 @@ def _proportions(self):
     def _subtotal_columns(self):
         """2D ndarray np.float64 of the values for the subtotal columns (2nd block)"""
         # --- Use "body" reference values for inserted columns
-        (ref_props, ref_variance) = self._reference_values(0)
+        ref_props, ref_variance = self._reference_values(0)
         return self._calculate_t_stats(
             self._proportions[0][1], self._column_bases[0][1], ref_props, ref_variance
         )
@@ -1734,7 +1734,7 @@ def _subtotal_columns(self):
     def _subtotal_rows(self):
         """2D ndarray np.float64 of the t-stats for the subtotal rows (3rd block)"""
         # --- Use "inserted" reference values for inserted rows
-        (ref_props, ref_variance) = self._reference_values(1)
+        ref_props, ref_variance = self._reference_values(1)
         return self._calculate_t_stats(
             self._proportions[1][0], self._column_bases[1][0], ref_props, ref_variance
         )

tests/integration/test_scale_means.py

@@ -239,7 +239,7 @@ def test_cat_x_cat_pruning_and_hs():
     np.testing.assert_almost_equal(
         slice_.columns_scale_mean,
         [1.57933884, 1.8308135, 2.10618401, 2.30460074, np.nan, 2.34680135],
-    ),
+    )
     np.testing.assert_almost_equal(
         slice_.rows_scale_mean,
         [1.74213625, 2.2364515, 1.97, 2.45356177, 2.11838791, np.nan, 2.0],
@@ -268,7 +268,7 @@ def test_cat_x_cat_pruning_and_hs():
     slice_ = Cube(CR.CAT_HS_MT_X_CAT_HS_MT, transforms=transforms).partitions[0]
     np.testing.assert_almost_equal(
         slice_.columns_scale_mean, [1.57933884, 2.106184, 2.3046007, 2.34680135]
-    ),
+    )
     np.testing.assert_almost_equal(
         slice_.rows_scale_mean, [1.74213625, 1.97, 2.45356177, 2.11838791, 2.0]
     )