code: def _read_feather_columns(path, columns, num_splits):  # pragma: no cover
      
      from pyarrow import feather
  
      df = feather.read_feather(path, columns=columns)
      # Append the length of the index here to build it externally
      return _split_result_for_readers(0, num_splits, df) + [len(df.index)]
docs: Use a Ray task to read columns from Feather into a Pandas DataFrame.
  
      Note: Ray functions are not detected by codecov (thus pragma: no cover)
  
      Args:
          path: The path of the Feather file.
          columns: The list of column names to read.
          num_splits: The number of partitions to split the column into.
  
      Returns:
           A list containing the split Pandas DataFrames and the Index as the last
              element. If there is not `index_col` set, then we just return the length.
              This is used to determine the total length of the DataFrame to build a
              default Index.