code: def wet_records(wet_filepath):
      """Generate WETRecords from filepath."""
      if wet_filepath.endswith(".gz"):
          fopen = gzip.open
      else:
          fopen = tf.gfile.GFile
  
      with fopen(wet_filepath) as f:
          for record in wet_records_from_file_obj(f):
              yield record
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import contextlib
  import datetime
  import gzip
  import os
  import re
  import urllib
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: wet_records(wet_filepath) without return types