EA attribute specifying whether copy=False is ignored

Author: Aniketsy

pandas/tests/extension/decimal/test_decimal.py

@@ -67,6 +67,8 @@ def data_for_grouping():
 
 
 class TestDecimalArray(base.ExtensionTests):
+    _supports_fillna_copy_false = False
+
     def _get_expected_exception(
         self, op_name: str, obj, other
     ) -> type[Exception] | tuple[type[Exception], ...] | None:
@@ -171,10 +173,6 @@ def test_fillna_limit_series(self, data_missing):
         ):
             super().test_fillna_limit_series(data_missing)
 
-    @pytest.mark.xfail(reason="copy keyword is missing")
-    def test_fillna_readonly(self, data_missing):
-        super().test_fillna_readonly(data_missing)
-
     def test_series_repr(self, data):
         # Overriding this base test to explicitly test that
         # the custom _formatter is used

pandas/tests/extension/test_interval.py

@@ -79,6 +79,7 @@ def data_for_grouping():
 
 class TestIntervalArray(base.ExtensionTests):
     divmod_exc = TypeError
+    _supports_fillna_copy_false = False
 
     def _supports_reduction(self, ser: pd.Series, op_name: str) -> bool:
         return op_name in ["min", "max"]
@@ -100,10 +101,6 @@ def test_fillna_limit_series(self, data_missing):
     def test_fillna_length_mismatch(self, data_missing):
         super().test_fillna_length_mismatch(data_missing)
 
-    @pytest.mark.xfail(reason="copy=False is not Implemented")
-    def test_fillna_readonly(self, data_missing):
-        super().test_fillna_readonly(data_missing)
-
     @pytest.mark.filterwarnings(
         "ignore:invalid value encountered in cast:RuntimeWarning"
     )