rename from_ray to fron_ray_dataset

modin/core/execution/dispatching/factories/dispatcher.py

@@ -182,9 +182,9 @@ def from_dataframe(cls, *args, **kwargs):
         return cls.get_factory()._from_dataframe(*args, **kwargs)
 
     @classmethod
-    @_inherit_docstrings(factories.BaseFactory._from_ray)
-    def from_ray(cls, ray_obj):
-        return cls.get_factory()._from_ray(ray_obj)
+    @_inherit_docstrings(factories.BaseFactory._from_ray_dataset)
+    def from_ray_dataset(cls, ray_obj):
+        return cls.get_factory()._from_ray_dataset(ray_obj)
 
     @classmethod
     @_inherit_docstrings(factories.BaseFactory._read_parquet)

modin/core/execution/dispatching/factories/factories.py

@@ -206,10 +206,10 @@ def _from_dataframe(cls, *args, **kwargs):
         _doc_io_method_template,
         source="a Ray Dataset",
         params="ray_obj : ray.data.Dataset",
-        method="modin.core.execution.ray.implementations.pandas_on_ray.io.PandasOnRayIO.from_ray",
+        method="modin.core.execution.ray.implementations.pandas_on_ray.io.PandasOnRayIO.from_ray_dataset",
     )
-    def _from_ray(cls, ray_obj):
-        return cls.io_cls.from_ray(ray_obj)
+    def _from_ray_dataset(cls, ray_obj):
+        return cls.io_cls.from_ray_dataset(ray_obj)
 
     @classmethod
     @doc(

modin/core/execution/ray/generic/io/io.py

@@ -20,7 +20,7 @@ class RayIO(BaseIO):
     """Base class for doing I/O operations over Ray."""
 
     @classmethod
-    def from_ray(cls, ray_obj):
+    def from_ray_dataset(cls, ray_obj):
         """
         Create a Modin `query_compiler` from a Ray Dataset.
 

modin/core/execution/ray/implementations/pandas_on_ray/io/io.py

@@ -264,7 +264,7 @@ def func(df, **kw):  # pragma: no cover
         )
 
     @classmethod
-    def from_ray(cls, ray_obj):
+    def from_ray_dataset(cls, ray_obj):
         """
         Create a Modin `query_compiler` from a Ray Dataset.
 

modin/core/io/io.py

@@ -117,7 +117,7 @@ def from_dataframe(cls, df):
         return cls.query_compiler_cls.from_dataframe(df, cls.frame_cls)
 
     @classmethod
-    def from_ray(cls, ray_obj):
+    def from_ray_dataset(cls, ray_obj):
         """
         Create a Modin `query_compiler` from a Ray Dataset.
 

modin/pandas/io.py

@@ -1034,7 +1034,7 @@ def from_dataframe(df):
     return ModinObjects.DataFrame(query_compiler=FactoryDispatcher.from_dataframe(df))
 
 
-def from_ray(ray_obj):
+def from_ray_dataset(ray_obj):
     """
     Convert a Ray Dataset into Modin DataFrame.
 
@@ -1054,7 +1054,7 @@ def from_ray(ray_obj):
     """
     from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
 
-    return ModinObjects.DataFrame(query_compiler=FactoryDispatcher.from_ray(ray_obj))
+    return ModinObjects.DataFrame(query_compiler=FactoryDispatcher.from_ray_dataset(ray_obj))
 
 
 def from_dask(ray_obj):
@@ -1077,7 +1077,7 @@ def from_dask(ray_obj):
     """
     from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
 
-    return ModinObjects.DataFrame(query_compiler=FactoryDispatcher.from_ray(ray_obj))
+    return ModinObjects.DataFrame(query_compiler=FactoryDispatcher.from_ray_dataset(ray_obj))
 
 
 def to_pandas(modin_obj: SupportsPublicToPandas) -> Any:

modin/pandas/test/test_io.py

@@ -47,7 +47,7 @@
     TestReadFromSqlServer,
 )
 from modin.db_conn import ModinDatabaseConnection, UnsupportedDatabaseException
-from modin.pandas.io import from_arrow, from_ray, to_pandas
+from modin.pandas.io import from_arrow, from_ray_dataset, to_pandas
 from modin.test.test_utils import warns_that_defaulting_to_pandas
 
 from .utils import (
@@ -3254,13 +3254,13 @@ def test_to_ray_dataset():
     reason="Ray Dataset creation is only available for Ray engine",
 )
 @pytest.mark.filterwarnings(default_to_pandas_ignore_string)
-def test_from_ray():
+def test_from_ray_dataset():
     index = pandas.DatetimeIndex(
         pandas.date_range("2000", freq="h", periods=len(TEST_DATA["col1"]))
     )
     modin_df, pandas_df = create_test_dfs(TEST_DATA, index=index)
 
     ray_df = ray.data.from_pandas(pandas_df)
 
-    result_df = from_ray(ray_df)
+    result_df = from_ray_dataset(ray_df)
     df_equals(result_df, modin_df)