CLN remove trailing commas (#36057)

Author: tiagohonorato

pandas/tests/arithmetic/test_interval.py

@@ -156,9 +156,7 @@ def test_compare_scalar_other(self, op, array, other):
         expected = self.elementwise_comparison(op, array, other)
         tm.assert_numpy_array_equal(result, expected)
 
-    def test_compare_list_like_interval(
-        self, op, array, interval_constructor,
-    ):
+    def test_compare_list_like_interval(self, op, array, interval_constructor):
         # same endpoints
         other = interval_constructor(array.left, array.right)
         result = op(array, other)

pandas/tests/arithmetic/test_numeric.py

@@ -99,7 +99,7 @@ class TestNumericArraylikeArithmeticWithDatetimeLike:
     # TODO: also check name retentention
     @pytest.mark.parametrize("box_cls", [np.array, pd.Index, pd.Series])
     @pytest.mark.parametrize(
-        "left", lefts, ids=lambda x: type(x).__name__ + str(x.dtype),
+        "left", lefts, ids=lambda x: type(x).__name__ + str(x.dtype)
     )
     def test_mul_td64arr(self, left, box_cls):
         # GH#22390
@@ -119,7 +119,7 @@ def test_mul_td64arr(self, left, box_cls):
     # TODO: also check name retentention
     @pytest.mark.parametrize("box_cls", [np.array, pd.Index, pd.Series])
     @pytest.mark.parametrize(
-        "left", lefts, ids=lambda x: type(x).__name__ + str(x.dtype),
+        "left", lefts, ids=lambda x: type(x).__name__ + str(x.dtype)
     )
     def test_div_td64arr(self, left, box_cls):
         # GH#22390

pandas/tests/arrays/boolean/test_logical.py

@@ -205,9 +205,7 @@ def test_kleene_xor_scalar(self, other, expected):
             a, pd.array([True, False, None], dtype="boolean")
         )
 
-    @pytest.mark.parametrize(
-        "other", [True, False, pd.NA, [True, False, None] * 3],
-    )
+    @pytest.mark.parametrize("other", [True, False, pd.NA, [True, False, None] * 3])
     def test_no_masked_assumptions(self, other, all_logical_operators):
         # The logical operations should not assume that masked values are False!
         a = pd.arrays.BooleanArray(