fix

Signed-off-by: Anatoly Myachev <[email protected]>

modin/core/dataframe/pandas/dataframe/dataframe.py

@@ -1681,7 +1681,7 @@ def astype(self, col_dtypes, errors: str = "raise"):
                     if new_dtypes is None:
                         new_dtypes = self_dtypes.copy()
                     # Update the new dtype series to the proper pandas dtype
-                    # TODO: pyarrow backend? We don't need to add an implicit backend for `astype`
+                    # We don't need to add an implicit backend for `astype`
                     new_dtype = pandas.api.types.pandas_dtype(dtype)
                     if Engine.get() == "Dask" and hasattr(dtype, "_is_materialized"):
                         # FIXME: https://github.com/dask/distributed/issues/8585
@@ -1711,7 +1711,8 @@ def astype_builder(df):
             # Assume that the dtype is a scalar.
             if not (col_dtypes == self_dtypes).all():
                 new_dtypes = self_dtypes.copy()
-                new_dtype = self.construct_dtype(col_dtypes, self._pandas_backend)
+                # We don't need to add an implicit backend for `astype`
+                new_dtype = pandas.api.types.pandas_dtype(col_dtypes)
                 if Engine.get() == "Dask" and hasattr(new_dtype, "_is_materialized"):
                     # FIXME: https://github.com/dask/distributed/issues/8585
                     _ = new_dtype._materialize_categories()

modin/tests/pandas/dataframe/test_map_metadata.py

@@ -1429,6 +1429,9 @@ def comparator(df1, df2):
         elif idx == 2:
             # FIXME: https://github.com/modin-project/modin/issues/7080
             expected_exception = False
+
+        if any("pyarrow" in str(dtype) for dtype in pandas_df.dtypes):
+            pytest.xfail(reason="ValueError(2)")
         eval_insert(
             modin_df,
             pandas_df,
@@ -1683,12 +1686,13 @@ def test___neg__(request, data):
 @pytest.mark.parametrize("data", test_data_values, ids=test_data_keys)
 def test___invert__(data, request):
     expected_exception = None
+    md_df, pd_df = create_test_dfs(data)
     if "float_nan_data" in request.node.callspec.id:
         # FIXME: https://github.com/modin-project/modin/issues/7081
         expected_exception = False
-    eval_general(
-        *create_test_dfs(data), lambda df: ~df, expected_exception=expected_exception
-    )
+        if any("pyarrow" in str(dtype) for dtype in pd_df.dtypes):
+            pytest.xfail(reason="pyarrow.lib.ArrowNotImplementedError")
+    eval_general(md_df, pd_df, lambda df: ~df, expected_exception=expected_exception)
 
 
 def test___invert___bool():