code: def unzip_data(output_dir):
      output_dir = os.path.abspath(output_dir)
      if not os.path.isdir(output_dir):
          os.mkdir(output_dir)
      base_path = prepare_test_data.prepare_CIFAR10_data()
  
      # change dir to locate data.zip correctly
      os.chdir(base_path)
  
      # unzip test images for eval
      with zipfile.ZipFile(
          os.path.join(base_path, "cifar-10-batches-py", "data.zip")
      ) as myzip:
          for fn in range(6):
              myzip.extract("data/train/%05d.png" % (fn), output_dir)
  
file_path: CNTK/Tests/EndToEndTests/EvalClientTests/CNTKLibraryCSEvalExamplesTest/train_models_for_evaluation.py
imports: import os
  import sys
  import argparse
  import zipfile
  import math
  import cntk
  import prepare_test_data
  import TrainResNet_CIFAR10
  import LanguageUnderstanding
  from cntk.layers.typing import *
  from cntk import *
  from cntk.logging import *
label_desc: Use image node_id 1 for calling a global function with example usage: unzip_data(output_dir) without return types