code: def run():
      input_audio_paths = []
      for filepattern in FLAGS.input_audio_filepatterns:
          input_audio_paths.extend(tf.io.gfile.glob(filepattern))
  
      prepare_tfrecord(
          input_audio_paths,
          FLAGS.output_tfrecord_path,
          num_shards=FLAGS.num_shards,
          sample_rate=FLAGS.sample_rate,
          frame_rate=FLAGS.frame_rate,
          example_secs=FLAGS.example_secs,
          hop_secs=FLAGS.hop_secs,
          eval_split_fraction=FLAGS.eval_split_fraction,
          chunk_secs=FLAGS.chunk_secs,
          center=FLAGS.center,
          viterbi=FLAGS.viterbi,
          pipeline_options=FLAGS.pipeline_options,
      )
  
imports: from absl import app
  from absl import flags
  from ddsp.training.data_preparation.prepare_tfrecord_lib import prepare_tfrecord
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: run() without return types