address feedback: use _values in tests + add comment

Author: jorisvandenbossche

pandas/core/arrays/sparse/array.py

@@ -993,6 +993,7 @@ def __getitem__(
             data_slice = self.to_dense()[key]  # type: ignore[index]
         elif isinstance(key, slice):
             if key == slice(None):
+                # to ensure arr[:] (used by view()) does not make a copy
                 return type(self)._simple_new(self.sp_values, self.sp_index, self.dtype)
             # Avoid densifying when handling contiguous slices
             if key.step is None or key.step == 1:

pandas/tests/arrays/test_datetimelike.py

@@ -1248,8 +1248,8 @@ def test_invalid_nat_setitem_array(arr, non_casting_nats):
 @pytest.mark.parametrize(
     "arr",
     [
-        pd.date_range("2000", periods=4).array.copy(),
-        pd.timedelta_range("2000", periods=4).array.copy(),
+        pd.date_range("2000", periods=4)._values,
+        pd.timedelta_range("2000", periods=4)._values,
     ],
 )
 def test_to_numpy_extra(arr):

pandas/tests/extension/test_numpy.py

@@ -77,7 +77,7 @@ def allow_in_pandas(monkeypatch):
 @pytest.fixture
 def data(allow_in_pandas, dtype):
     if dtype.numpy_dtype == "object":
-        return pd.Series([(i,) for i in range(100)]).array.copy()
+        return pd.Series([(i,) for i in range(100)])._values
     return NumpyExtensionArray(np.arange(1, 101, dtype=dtype._dtype))