fix ci

modin/pandas/dataframe.py

@@ -44,7 +44,7 @@
 from modin.error_message import ErrorMessage
 from modin.logging import disable_logging
 from modin.pandas import Categorical
-from modin.pandas.io import from_non_pandas, from_pandas, to_pandas, from_ray, to_ray
+from modin.pandas.io import from_non_pandas, from_pandas, to_pandas, to_ray
 from modin.utils import (
     MODIN_UNNAMED_SERIES_LABEL,
     _inherit_docstrings,
@@ -921,27 +921,6 @@ def from_dict(
             )
         )
 
-    @classmethod
-    def from_ray(cls, ray_obj):
-        """
-        Convert a Ray Dataset into Modin DataFrame.
-
-        Parameters
-        ----------
-        ray_obj : ray.data.Dataset
-            The Ray Dataset to convert from.
-
-        Returns
-        -------
-        DataFrame
-            A new Modin DataFrame object.
-
-        Notes
-        -----
-        Ray Dataset may only be converted to Modin Dataframe if Modin uses a Ray engine.
-        """
-        return from_ray(ray_obj)
-
     @classmethod
     def from_records(
         cls,

modin/pandas/test/test_api.py

@@ -152,7 +152,7 @@ def test_dataframe_api_equality():
 
     ignore_in_pandas = ["timetuple"]
     # modin - namespace for using experimental functionality
-    ignore_in_modin = ["modin", "to_pandas"]
+    ignore_in_modin = ["modin", "to_pandas", "to_ray"]
     missing_from_modin = set(pandas_dir) - set(modin_dir)
     assert not len(
         missing_from_modin - set(ignore_in_pandas)
@@ -164,7 +164,7 @@ def test_dataframe_api_equality():
     ), "Differences found in API: {}".format(set(modin_dir) - set(pandas_dir))
 
     # These have to be checked manually
-    allowed_different = ["to_hdf", "hist", "modin", "to_pandas"]
+    allowed_different = ["to_hdf", "hist", "modin", "to_pandas", "to_ray"]
 
     assert_parameters_eq((pandas.DataFrame, pd.DataFrame), modin_dir, allowed_different)
 

modin/pandas/test/test_io.py

@@ -3246,7 +3246,7 @@ def test_to_ray():
             RuntimeError,
             match="Modin Dataframe may only be converted to a Ray Dataset if Modin uses a Ray engine.",
         ):
-            _= modin_df.to_ray()
+            _ = modin_df.to_ray()
 
 
 @pytest.mark.filterwarnings(default_to_pandas_ignore_string)