code: def main(argv: Sequence[str]) -> None:
      del argv
      compute_cis(
          scenario=FLAGS.scenario,
          methodology=FLAGS.methodology,
          num_trials=FLAGS.num_trials,
          num_examples_per_trial=FLAGS.num_examples_per_trial,
          output_dir=FLAGS.output_dir,
      )
      coverage_rates = compute_coverage(FLAGS.output_dir)
      print(coverage_rates)
  
imports: import collections
  import os
  from typing import Callable, Dict, Iterable, Iterator, List, Sequence, Tuple
  from absl import app
  from absl import flags
  import apache_beam
  import numpy
  import tensorflow
  from tensorflow_model_analysis import constants
  from tensorflow_model_analysis.api import model_eval_lib
  from tensorflow_model_analysis.eval_saved_model import util
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.proto import config_pb2
  from tensorflow_model_analysis.proto import metrics_for_slice_pb2
  from tfx_bsl.tfxio import tf_example_record
  from google.protobuf import text_format
  from tensorflow.core.example import example_pb2
label_desc: Use image node_id 8 for calling a global function with example usage: main(argv) without return types