code: def main(argv=()):
      with errors.clean_commandline_error_exit():
          if len(argv) > 1:
              errors.log_and_raise(
                  "Command line parsing failure: call_variants does not accept "
                  "positional arguments but some are present on the command line: "
                  '"{}".'.format(str(argv)),
                  errors.CommandLineError,
              )
          del argv  # Unused.
          proto_utils.uses_fast_cpp_protos_or_die()
  
          logging_level.set_from_flag()
          # Make sure output filename is consistent and can be used for multi-writing.
          if not sharded_file_utils.is_sharded_filename(
              FLAGS.outfile
          ) and not FLAGS.outfile.endswith(".tfrecord.gz"):
              raise ValueError(
                  "Output filename must end with .tfrecord.gz"
              )
          call_variants(
              examples_filename=FLAGS.examples,
              checkpoint_path=FLAGS.checkpoint,
              output_file=FLAGS.outfile,
          )
          logging.info("Complete: call_variants.")
  
imports: import multiprocessing
  import os
  import time
  from typing import Any
  from absl import flags
  from absl import logging
  import numpy
  import tensorflow
  from deepvariant import dv_utils
  from deepvariant import keras_modeling
  from deepvariant import logging_level
  from deepvariant.protos import deepvariant_pb2
  from absl import app
  import multiprocessing
  from third_party.nucleus.io import sharded_file_utils
  from third_party.nucleus.io import tfrecord
  from third_party.nucleus.protos import variants_pb2
  from third_party.nucleus.util import errors
  from third_party.nucleus.util import proto_utils
  from third_party.nucleus.util import variant_utils
label_desc: Use image node_id 7 for calling a global function with example usage: main(argv) without return types