code: def _generate_compound_divergence_builder_configs():
      """Generate configs for different compound divergences and random seeds."""
      configs = []
      for compound_divergence in [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 1]:
          for random_seed in range(1, 10):
              configs.append(
                  CFQConfig(
                      compound_divergence=compound_divergence,
                      random_seed=random_seed,
                  )
              )
      return configs
  
file_path: datasets/tensorflow_datasets/text/cfq.py
imports: import json
  import os
  import re
  from absl import logging
  from etils import epath
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _generate_compound_divergence_builder_configs() and returns: configs