code: def _generate_compound_divergence_builder_configs():
      """Generate configs for different compound divergences and random seeds."""
      configs = []
      for size in _DIVERGENCE_SPLIT_SIZES:
          for compound_divergence in [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6]:
              for seed_idx, seed in enumerate(_RANDOM_SEEDS):
                  configs.append(
                      StarCFQConfig(
                          name=f"u_cfq_compound_divergence_{size}_{compound_divergence}_r{seed_idx}",
                          compound_divergence=True,
                          split_archive_path="splits/u-cfq-divergence-splits-1.0.tar.gz",
                          split_path=f"divergence_splits/divergence_split_s{size}_d{compound_divergence}_r{seed}.json",
                      )
                  )
  
      return configs
  
imports: import json
  import os
  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