code: def get_reader_filepath_or_buffer(
      path_or_data,
      compression,
      mode="rb",
      fs=None,
      iotypes=(BytesIO, NativeFile),
      use_python_file_object=False,
      open_file_options=None,
      allow_raw_text_input=False,
      storage_options=None,
      bytes_per_thread=_BYTES_PER_THREAD_DEFAULT,
  ):
      """{docstring}"""
  
      path_or_data = stringify_pathlike(path_or_data)
  
      if isinstance(path_or_data, str):
          # Get a filesystem object if one isn't already available
          paths = [path_or_data]
          if fs is None:
              fs, paths = _get_filesystem_and_paths(
                  path_or_data, storage_options
              )
              if fs is None:
                  return path_or_data, compression
  
          if _is_local_filesystem(fs):
              # Doing this as `read_json` accepts a json string
              # path_or_data need not be a filepath like string
              if len(paths):
                  if fs.exists(paths[0]):
                      path_or_data = (
                          paths if len(paths) > 1 else paths[0]
                      )
                  elif not allow_raw_text_input:
                      raise FileNotFoundError(
                          f"{path_or_data} could not be resolved to any files"
                      )
  
          else:
              if len(paths) == 0:
                  raise FileNotFoundError(
                      f"{path_or_data} could not be resolved to any files"
                  )
              if use_python_file_object:
                  path_or_data = _open_remote_files(
                      paths,
                      fs,
                      **(open_file_options or {}),
                  )
              else:
                  path_or_data = [
                      BytesIO(
                          _fsspec_data_transfer(
                              fpath,
                              fs=fs,
                              mode=mode,
                              bytes_per_thread=bytes_per_thread,
                          )
                      )
                      for fpath in paths
                  ]
              if len(path_or_data) == 1:
                  path_or_data = path_or_data[0]
  
      elif not isinstance(path_or_data, iotypes) and is_file_like(
          path_or_data
      ):
          if isinstance(path_or_data, TextIOWrapper):
              path_or_data = path_or_data.buffer
          if use_python_file_object:
              path_or_data = ArrowPythonFile(path_or_data)
          else:
              path_or_data = BytesIO(
                  _fsspec_data_transfer(
                      path_or_data,
                      mode=mode,
                      bytes_per_thread=bytes_per_thread,
                  )
              )
  
      return path_or_data, compression
  
imports: import datetime
  import os
  import urllib
  import warnings
  from io import BufferedWriter, BytesIO, IOBase, TextIOWrapper
  from threading import Thread
  import fsspec
  import fsspec.implementations.local
  import numpy
  import pandas
  from fsspec.core import get_fs_token_paths
  from pyarrow import PythonFile
  from pyarrow.lib import NativeFile
  from cudf.utils.docutils import docfmt_partial
label_desc: Use image node_id 9 for calling a global function with example usage: get_reader_filepath_or_buffer(path_or_data, compression, mode, fs, iotypes, use_python_file_object, open_file_options, allow_raw_text_input, storage_options, bytes_per_thread) and returns: path_or_data,  compression, path_or_data,  compression