code: def main(_):
      task_index = np.random.randint(2**31)
      for subset in ["training", "evaluation"]:
          output_dir = arc_dir(subset)
          test_utils.remake_dir(output_dir)
          num_tasks = NUM_TASKS[subset]
          for _ in range(num_tasks):
              task_index += 1
              task_id = "{:08x}".format(task_index)
              task = make_task()
              write_task(output_dir, task_id, task)
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/arc.py
imports: import json
  import os
  from absl import app
  from absl import flags
  import numpy
  from tensorflow_datasets.core.utils import tfds_write_path
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.testing import test_utils
label_desc: Use image node_id 7 for calling a global function with example usage: main(_) without return types