Update CI xfails

Author: honno

tests/conftest.py

@@ -39,7 +39,8 @@ def pytest_configure(config):
 
 ci_failing_ids = [
     # dataframe objects return the interchange dataframe, not a dict, although
-    # this behaviour might be in the spec soon.
+    # this is the behaviour that should be in the spec soon.
+    # See https://github.com/data-apis/dataframe-api/pull/74
     "test_dataframe_object.py::test_toplevel_dunder_dataframe[pandas]",
     "test_dataframe_object.py::test_toplevel_dunder_dataframe[vaex]",
     "test_dataframe_object.py::test_toplevel_dunder_dataframe[modin]",
@@ -54,6 +55,28 @@ def pytest_configure(config):
     "test_from_dataframe.py::test_from_dataframe_roundtrip[pandas-vaex]",
     "test_from_dataframe.py::test_from_dataframe_roundtrip[modin-vaex]",
     "test_from_dataframe.py::test_from_dataframe_roundtrip[vaex-pandas]",
+    # https://github.com/vaexio/vaex/issues/2093
+    "test_column_object.py::test_size[vaex]",
+    # https://github.com/vaexio/vaex/issues/2118
+    "test_column_object.py::test_dtype[vaex]",
+    # Raises TypeError as opposed to RuntimeError, although this is the
+    # behaviour that should be in the spec soon.
+    # See https://github.com/data-apis/dataframe-api/pull/74
+    "test_column_object.py::test_describe_categorical[pandas]",
+    "test_column_object.py::test_describe_categorical[vaex]",
+    "test_column_object.py::test_describe_categorical[cudf]",
+    # https://github.com/pandas-dev/pandas/issues/47789
+    "test_column_object.py::test_null_count[pandas]",
+    # https://github.com/vaexio/vaex/issues/2120
+    "test_column_object.py::test_null_count[vaex]",
+    # https://github.com/modin-project/modin/issues/4687
+    "test_column_object.py::test_null_count[modin]",
+    # https://github.com/vaexio/vaex/issues/2121
+    "test_column_object.py::test_get_chunks[vaex]",
+    # https://github.com/vaexio/vaex/issues/2122
+    "test_column_object.py::test_get_buffers[vaex]",
+    # https://github.com/rapidsai/cudf/issues/11308
+    "test_column_object.py::test_get_buffers[cudf]",
 ]
 
 
@@ -62,5 +85,3 @@ def pytest_collection_modifyitems(config, items):
         for item in items:
             if any(id_ in item.nodeid for id_ in ci_failing_ids):
                 item.add_marker(pytest.mark.xfail())
-            elif "test_column_object" in item.nodeid:
-                item.add_marker(pytest.mark.skip("TODO"))

tests/test_column_object.py

@@ -125,7 +125,8 @@ def test_null_count(libinfo: LibraryInfo, data: st.DataObject):
         null_count = col.null_count
         if null_count is not None:
             assert isinstance(null_count, int)
-            assert null_count == sum(np.isnan(mock_col.array))
+            if mock_col.nominal_dtype != NominalDtype.UTF8:  # TODO: test string cols
+                assert null_count == sum(np.isnan(mock_col.array))
 
 
 @given(data=st.data())

tests/wrappers.py

@@ -233,6 +233,11 @@ def modin_frame_equal(df1: mpd.DataFrame, df2: mpd.DataFrame) -> bool:
     )
     libinfo_params.append(pytest.param(modin_libinfo, id=modin_libinfo.name))
 
+
+# cuDF
+# -----
+
+
 try:
     # cudf has a few issues with upstream pandas that we "fix" with a few hacks
     try:
@@ -293,6 +298,7 @@ def cudf_mock_to_toplevel(mock_df: MockDataFrame) -> cudf.DataFrame:
         from_dataframe=cudf_from_dataframe,
         frame_equal=lambda df1, df2: df1.equals(df2),  # NaNs considered equal
         toplevel_to_interchange=lambda df: df.__dataframe__(),
+        exclude_dtypes=[NominalDtype.DATETIME64NS],
     )
     libinfo_params.append(pytest.param(cupy_libinfo, id=cupy_libinfo.name))