def download_training_and_eval_data()

in tensorflow_script_mode_local_training_and_serving/tensorflow_script_mode_local_training_and_serving.py [0:0]

• 12 lines of code
• 6 McCabe index (conditional complexity)

def download_training_and_eval_data():
    if os.path.isfile('./data/train_data.npy') and \
            os.path.isfile('./data/train_labels.npy') and \
            os.path.isfile('./data/eval_data.npy') and \
            os.path.isfile('./data/eval_labels.npy'):
        print('Training and evaluation datasets exist. Skipping Download')
    else:
        print('Downloading training and evaluation dataset')
        s3 = boto3.resource('s3')
        for filename in data_files_list:
            s3.meta.client.download_file('sagemaker-sample-data-us-east-1', 'tensorflow/mnist/' + filename,
                                         './data/' + filename)