Support ruff 0.5.0 in CI (#7009)

* Revert "Fix CI by temporarily pinning ruff < 0.5.0"

This reverts commit dd63143.

* Use is for type comparison

* Use isinstance for instance check

* Replace is with equality comparison

setup.py

@@ -188,7 +188,7 @@
 TESTS_REQUIRE.extend(VISION_REQUIRE)
 TESTS_REQUIRE.extend(AUDIO_REQUIRE)
 
-QUALITY_REQUIRE = ["ruff>=0.3.0,<0.5.0"]
+QUALITY_REQUIRE = ["ruff>=0.3.0"]
 
 DOCS_REQUIRE = [
     # Might need to add doc-builder and some specific deps in the future

src/datasets/features/features.py

@@ -841,7 +841,7 @@ def __array__(self, dtype=None):
         https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.api.extensions.ExtensionArray.html#pandas.api.extensions.ExtensionArray
 
         """
-        if dtype == object:
+        if dtype == np.dtype(object):
             out = np.empty(len(self._data), dtype=object)
             for i in range(len(self._data)):
                 out[i] = self._data[i]

tests/features/test_array_xd.py

@@ -362,7 +362,7 @@ def test_table_to_pandas(dtype, dummy_value):
     features = datasets.Features({"foo": datasets.Array2D(dtype=dtype, shape=(2, 2))})
     dataset = datasets.Dataset.from_dict({"foo": [[[dummy_value] * 2] * 2]}, features=features)
     df = dataset._data.to_pandas()
-    assert type(df.foo.dtype) == PandasArrayExtensionDtype
+    assert isinstance(df.foo.dtype, PandasArrayExtensionDtype)
     arr = df.foo.to_numpy()
     np.testing.assert_equal(arr, np.array([[[dummy_value] * 2] * 2], dtype=np.dtype(dtype)))