old_contents: # Licensed to Modin Development Team under one or more contributor license agreements.
  # See the NOTICE file distributed with this work for additional information regarding
  # copyright ownership.  The Modin Development Team licenses this file to you under the
  # Apache License, Version 2.0 (the "License"); you may not use this file except in
  # compliance with the License.  You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software distributed under
  # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
  # ANY KIND, either express or implied. See the License for the specific language
  # governing permissions and limitations under the License.
  
  """Module houses `FeatherDispatcher` class, that is used for reading `.feather` files."""
  
  from modin.core.io.column_stores.column_store_dispatcher import (
      ColumnStoreDispatcher,
  )
  
  
  class FeatherDispatcher(ColumnStoreDispatcher):
      """
      Class handles utils for reading `.feather` files.
  
      Inherits some common for columnar store files util functions from
      `ColumnStoreDispatcher` class.
      """
  
      @classmethod
      def _read(cls, path, columns=None, **kwargs):
          """
          Read data from the file path, returning a query compiler.
  
          Parameters
          ----------
          path : str or file-like object
              The filepath of the feather file.
          columns : array-like, optional
              Columns to read from file. If not provided, all columns are read.
          **kwargs : dict
              `read_feather` function kwargs.
  
          Returns
          -------
          BaseQueryCompiler
              Query compiler with imported data for further processing.
  
          Notes
          -----
          `PyArrow` engine and local files only are supported for now,
          multi threading is set to False by default.
          PyArrow feather is used. Please refer to the documentation here
          https://arrow.apache.org/docs/python/api.html#feather-format
          """
          if columns is None:
              from pyarrow.feather import read_feather
  
              df = read_feather(path)
              # pyarrow.feather.read_feather doesn't support columns as pandas.Index
              columns = list(df.columns)
          return cls.build_query_compiler(path, columns, use_threads=False)
  
new_contents: # Licensed to Modin Development Team under one or more contributor license agreements.
  # See the NOTICE file distributed with this work for additional information regarding
  # copyright ownership.  The Modin Development Team licenses this file to you under the
  # Apache License, Version 2.0 (the "License"); you may not use this file except in
  # compliance with the License.  You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software distributed under
  # the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
  # ANY KIND, either express or implied. See the License for the specific language
  # governing permissions and limitations under the License.
  
  """Module houses `FeatherDispatcher` class, that is used for reading `.feather` files."""
  
  from modin.core.io.column_stores.column_store_dispatcher import (
      ColumnStoreDispatcher,
  )
  
  
  class FeatherDispatcher(ColumnStoreDispatcher):
      """
      Class handles utils for reading `.feather` files.
  
      Inherits some common for columnar store files util functions from
      `ColumnStoreDispatcher` class.
      """
  
      @classmethod
      def _read(cls, path, columns=None, **kwargs):
          """
          Read data from the file path, returning a query compiler.
  
          Parameters
          ----------
          path : str or file-like object
              The filepath of the feather file.
          columns : array-like, optional
              Columns to read from file. If not provided, all columns are read.
          **kwargs : dict
              `read_feather` function kwargs.
  
          Returns
          -------
          BaseQueryCompiler
              Query compiler with imported data for further processing.
  
          Notes
          -----
          `PyArrow` engine and local files only are supported for now,
          multi threading is set to False by default.
          PyArrow feather is used. Please refer to the documentation here
          https://arrow.apache.org/docs/python/api.html#feather-format
          """
          path = cls.get_path(path)
          if columns is None:
              from pyarrow.feather import read_feather
  
              df = read_feather(path)
              # pyarrow.feather.read_feather doesn't support columns as pandas.Index
              columns = list(df.columns)
          return cls.build_query_compiler(path, columns, use_threads=False)
  
subject: Fix relative path processing for `read_feather` (#3545)