code: def main(_):
      np.random.seed(0x12345)
      for split, num_examples in [
          ("train", 5),
          ("test", 4),
          ("valid", 3),
      ]:
          x = np.random.randint(
              low=0,
              high=256,
              size=(num_examples, 96, 96, 3),
              dtype=np.uint8,
          )
          y = np.random.randint(
              low=0,
              high=2,
              size=(num_examples, 1, 1, 1),
              dtype=np.uint32,
          )
          images_filepath = get_output_file_prefix(split) + "_x.h5"
          labels_filepath = get_output_file_prefix(split) + "_y.h5"
          write_to_h5_file(images_filepath, dataset_name="x", content=x)
          write_to_h5_file(labels_filepath, dataset_name="y", content=y)
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/patch_camelyon.py
imports: import os
  from absl import app
  from absl import flags
  import h5py
  import numpy
  from tensorflow_datasets.core import utils
label_desc: Use image node_id 3 for calling a global function with example usage: main(_) without return types