code: def get_latest_iteration(path):
      """Return the largest iteration number corresponding to the given path.
  
      Args:
        path: The base path (including directory and base name) to search.
  
      Returns:
        The latest iteration number.
  
      Raises:
        ValueError: if there is not available log data at the given path.
      """
      glob = os.path.join(path, "{}_[0-9]*".format(FILE_PREFIX))
      log_files = tf.io.gfile.glob(glob)
  
      if not log_files:
          raise ValueError("No log data found at {}".format(path))
  
      def extract_iteration(x):
          return int(x[x.rfind("_") + 1 :])
  
      latest_iteration = max(extract_iteration(x) for x in log_files)
      return latest_iteration
  
file_path: dopamine/dopamine/colab/utils.py
imports: import itertools
  import os
  import pickle
  import sys
  import numpy
  import pandas
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: get_latest_iteration(path) and returns: latest_iteration, int