code: def _filter_header(s):
      """Clean up 'L' in npz header ints.
  
      Cleans up the 'L' in strings representing integers. Needed to allow npz
      headers produced in Python2 to be read in Python3.
  
      Parameters
      ----------
      s : string
          Npy file header.
  
      Returns
      -------
      header : str
          Cleaned up header.
  
      """
      import tokenize
      from io import StringIO
  
      tokens = []
      last_token_was_number = False
      for token in tokenize.generate_tokens(StringIO(s).readline):
          token_type = token[0]
          token_string = token[1]
          if (
              last_token_was_number
              and token_type == tokenize.NAME
              and token_string == "L"
          ):
              continue
          else:
              tokens.append(token)
          last_token_was_number = token_type == tokenize.NUMBER
      return tokenize.untokenize(tokens)
  
imports: import io
  import os
  import pickle
  import warnings
  import numpy
  from numpy.lib._utils_impl import drop_metadata
label_desc: Use image node_id 14 for calling a global function with example usage: _filter_header(s) and returns: tokenize