code: def save_gin_config(config_str, path):
      """Saves the config to a file."""
      if tf.io.gfile.exists(path):
          # Add a suffix to avoid overwriting existing files.
          suffix = 2
          while tf.io.gfile.exists(f"{path}.{suffix}"):
              suffix += 1
          path += f".{suffix}"
      with tf.io.gfile.GFile(path, "w") as f:
          f.write(config_str)
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/main.py
imports: import os
  from absl import app
  from absl import flags
  import gin
  from multi_representation_adversary import evaluator
  from multi_representation_adversary import trainer
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: save_gin_config(config_str, path) without return types