lint

Author: andrewgsavage

pandas/tests/extension/base/methods.py

@@ -703,5 +703,8 @@ def test_round(self, data):
         if not data.dtype._is_numeric:
             pytest.skip("Round is only valid for numeric dtypes")
         result = pd.Series(data).round()
-        expected = pd.Series([np.round(element) if pd.notna(element) else element for element in data], dtype=data.dtype)
+        expected = pd.Series(
+            [np.round(element) if pd.notna(element) else element for element in data],
+            dtype=data.dtype,
+        )
         tm.assert_series_equal(result, expected)

pandas/tests/extension/decimal/test_decimal.py

@@ -226,10 +226,8 @@ def test_invert(self, data):
     @pytest.mark.parametrize("ufunc", [np.positive, np.negative, np.abs])
     def test_unary_ufunc_dunder_equivalence(self, data, ufunc):
         super().test_unary_ufunc_dunder_equivalence(data, ufunc)
-    
-    @pytest.mark.xfail(
-        reason="DecimalArray.round is not implemented."
-    )
+
+    @pytest.mark.xfail(reason="DecimalArray.round is not implemented.")
     def test_round(self, data):
         super().test_round(data)
 

pandas/tests/extension/test_arrow.py

@@ -1011,7 +1011,7 @@ def _get_arith_xfail_marker(self, opname, pa_dtype):
             )
 
         return mark
-        
+
     def test_round(self, data, request):
         mark = pytest.mark.xfail(
             # raises=pa.ArrowInvalid,

pandas/tests/extension/test_interval.py

@@ -95,9 +95,7 @@ def test_EA_types(self, engine, data):
     def test_invert(self, data):
         super().test_invert(data)
 
-    @pytest.mark.xfail(
-        reason="Round is not valid for IntervalArray."
-    )
+    @pytest.mark.xfail(reason="Round is not valid for IntervalArray.")
     def test_round(self, data):
         super().test_round(data)
 

pandas/tests/extension/test_masked.py

@@ -358,7 +358,7 @@ def test_invert(self, data, request):
             )
             request.node.add_marker(mark)
         super().test_invert(data)
-        
+
     def test_round(self, data, request):
         if data.dtype == "boolean":
             mark = pytest.mark.xfail(reason="Cannot round boolean dtype")
@@ -368,5 +368,3 @@ def test_round(self, data, request):
 
 class Test2DCompat(base.Dim2CompatTests):
     pass
-
-

pandas/tests/extension/test_numpy.py

@@ -270,9 +270,7 @@ def test_insert_invalid(self, data, invalid_scalar):
         # NumpyExtensionArray[object] can hold anything, so skip
         super().test_insert_invalid(data, invalid_scalar)
 
-    @pytest.mark.xfail(
-        reason="NumpyExtensionArray.round is not implemented."
-    )
+    @pytest.mark.xfail(reason="NumpyExtensionArray.round is not implemented.")
     def test_round(self, data):
         super().test_round(data)
 

pandas/tests/extension/test_sparse.py

@@ -346,9 +346,7 @@ def test_map_raises(self, data, na_action):
         with pytest.raises(ValueError, match=msg):
             data.map(lambda x: np.nan, na_action=na_action)
 
-    @pytest.mark.xfail(
-        reason="SpareArray.round not implemented."
-    )
+    @pytest.mark.xfail(reason="SpareArray.round not implemented.")
     def test_round(self, data):
         super().test_round(data)