code: def main(_):
      full_bounds = {}
      full_bounds[3] = compute_3x3_volumes(int(FLAGS.num_samples))
      full_bounds[4] = compute_4x4_volumes(int(FLAGS.num_samples))
      full_bounds[5] = compute_5x5_volumes(int(FLAGS.num_samples))
      pprint.pprint(full_bounds)
  
file_path: probability/tensorflow_probability/python/distributions/internal/correlation_matrix_volumes.py
imports: import pprint
  from absl import app
  from absl import flags
  from tensorflow_probability.python.distributions.internal import correlation_matrix_volumes_lib
label_desc: Use image node_id 5 for calling a global function with example usage: main(_) without return types