code: def make_images(num_images):
      return np.random.randint(
          256, size=(28 * 28 * num_images), dtype=np.uint8
      ).reshape((num_images, -1))
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/binarized_mnist.py
imports: import os
  from absl import app
  from absl import flags
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 3 for calling a global function with example usage: make_images(num_images) and returns: np