code: def read_classification_results(storage_client, file_path):
      """Reads classification results from the file in Cloud Storage.
  
      This method reads file with classification results produced by running
      defense on singe batch of adversarial images.
  
      Args:
        storage_client: instance of CompetitionStorageClient or None for local file
        file_path: path of the file with results
  
      Returns:
        dictionary where keys are image names or IDs and values are classification
          labels
      """
      if storage_client:
          # file on Cloud
          success = False
          retry_count = 0
          while retry_count < 4:
              try:
                  blob = storage_client.get_blob(file_path)
                  if not blob:
                      return {}
                  if blob.size > MAX_ALLOWED_CLASSIFICATION_RESULT_SIZE:
                      logging.warning(
                          "Skipping classification result because it"
                          "s too "
                          "big: %d bytes for %s",
                          blob.size,
                          file_path,
                      )
                      return None
                  buf = BytesIO()
                  blob.download_to_file(buf)
                  buf.seek(0)
                  success = True
                  break
              except Exception:
                  retry_count += 1
                  time.sleep(5)
          if not success:
              return None
      else:
          # local file
          try:
              with open(file_path, "rb") as f:
                  buf = BytesIO(f.read())
          except IOError:
              return None
      result = {}
      if PY3:
          buf = StringIO(buf.read().decode("UTF-8"))
      for row in csv.reader(buf):
          try:
              image_filename = row[0]
              if image_filename.endswith(
                  ".png"
              ) or image_filename.endswith(".jpg"):
                  image_filename = image_filename[
                      : image_filename.rfind(".")
                  ]
              label = int(row[1])
          except (IndexError, ValueError):
              continue
          result[image_filename] = label
      return result
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import csv
  from io import BytesIO
  from io import StringIO
  import logging
  import os
  import pickle
  import time
  from six import iteritems
  from six import iterkeys
  from six import itervalues
  from six import PY3
label_desc: Use image node_id 1 for calling a global function with example usage: read_classification_results(storage_client, file_path) and returns: result, None, None, dict, None