fixed style

skcriteria/preprocessing/distance.py

@@ -50,4 +50,4 @@ def cenit_distance(matrix, objectives):
 )
 @doc_inherit(scalers.CenitDistanceMatrixScaler, warn_class=False)
 class CenitDistance(scalers.CenitDistanceMatrixScaler):
-    ...
+    pass

skcriteria/preprocessing/weighters.py

@@ -424,4 +424,4 @@ def _weight_matrix(self, matrix, objectives, **kwargs):
 )
 @doc_inherit(CRITIC, warn_class=False)
 class Critic(CRITIC):
-    ...
+    pass

tests/cmp/ranks_rev/test_rank_inv_check.py

@@ -35,7 +35,7 @@
 
 def test_RankInvariantChecker_decision_maker_no_evaluate_method():
     class NoEvaluateMethod:
-        ...
+        pass
 
     dmaker = NoEvaluateMethod()
     with pytest.raises(TypeError):
@@ -53,8 +53,7 @@ class EvaluateNoCallable:
 
 def test_RankInvariantChecker_invalid_last_diff_strategy():
     class FakeDM:
-        def evaluate(self):
-            ...
+        def evaluate(self): ...
 
     dmaker = FakeDM()
     with pytest.raises(TypeError):

tests/cmp/test_ranks_cmp.py

@@ -158,12 +158,16 @@ def test_RanksComparator_cov(untied):
 
     expected = pd.DataFrame.from_dict(
         {
-            "test_1": {"test_1": 0.5, "test_2": 0.5}
-            if untied
-            else {"test_1": 0.0, "test_2": 0.0},
-            "test_2": {"test_1": 0.5, "test_2": 0.5}
-            if untied
-            else {"test_1": 0.0, "test_2": 0.0},
+            "test_1": (
+                {"test_1": 0.5, "test_2": 0.5}
+                if untied
+                else {"test_1": 0.0, "test_2": 0.0}
+            ),
+            "test_2": (
+                {"test_1": 0.5, "test_2": 0.5}
+                if untied
+                else {"test_1": 0.0, "test_2": 0.0}
+            ),
         },
     )
 
@@ -181,12 +185,16 @@ def test_RanksComparator_corr(untied):
 
     expected = pd.DataFrame.from_dict(
         {
-            "test_1": {"test_1": 1.0, "test_2": 1.0}
-            if untied
-            else {"test_1": np.nan, "test_2": np.nan},
-            "test_2": {"test_1": 1.0, "test_2": 1.0}
-            if untied
-            else {"test_1": np.nan, "test_2": np.nan},
+            "test_1": (
+                {"test_1": 1.0, "test_2": 1.0}
+                if untied
+                else {"test_1": np.nan, "test_2": np.nan}
+            ),
+            "test_2": (
+                {"test_1": 1.0, "test_2": 1.0}
+                if untied
+                else {"test_1": np.nan, "test_2": np.nan}
+            ),
         },
     )
 

tests/core/test_stats.py

@@ -67,11 +67,12 @@ def test_DecisionMatrixStatsAccessor_df_whitelist_by_kind(
 
     result_call = stats(kind=kind)
 
-    cmp = (
-        lambda r, e: r.equals(e)
-        if isinstance(result_call, (pd.DataFrame, pd.Series))
-        else np.equal
-    )
+    def cmp(r, e):
+        return (
+            r.equals(e)
+            if isinstance(result_call, (pd.DataFrame, pd.Series))
+            else np.equal
+        )
 
     result_method = getattr(stats, kind)()
 

tests/preprocessing/test_preprocessing_base.py

@@ -76,11 +76,9 @@ class Foo(SKCMatrixAndWeightTransformerABC):
 
 def test_SKCMatrixAndWeightTransformerABC_bad_normalize_for():
     class Foo(SKCMatrixAndWeightTransformerABC):
-        def _transform_matrix(self, matrix):
-            ...
+        def _transform_matrix(self, matrix): ...
 
-        def _transform_weights(self, weights):
-            ...
+        def _transform_weights(self, weights): ...
 
     with pytest.raises(ValueError):
         Foo("mtx")
@@ -122,11 +120,9 @@ def _transform_weights(self, weights):
 
 def test_SKCMatrixAndWeightTransformerABC_target():
     class Foo(SKCMatrixAndWeightTransformerABC):
-        def _transform_matrix(self, matrix):
-            ...
+        def _transform_matrix(self, matrix): ...
 
-        def _transform_weights(self, weights):
-            ...
+        def _transform_weights(self, weights): ...
 
     foo = Foo("matrix")
     assert foo.target == Foo._TARGET_MATRIX

tests/utils/test_doctools.py

@@ -38,18 +38,15 @@ def test_doc_inherit():
 
     doc = "".join(random.choice(chars, 1000))
 
-    def func_a():
-        ...
+    def func_a(): ...
 
     func_a.__doc__ = doc
 
     @doctools.doc_inherit(func_a)
-    def func_b():
-        ...
+    def func_b(): ...
 
     @doctools.doc_inherit(doc)
-    def func_c():
-        ...
+    def func_c(): ...
 
     assert doc == func_a.__doc__ == func_b.__doc__ == func_c.__doc__