code: def main(_):
      if _VERSION.value:
          print(
              "DeepSomatic: DeepVariant version {}".format(
                  DEEP_VARIANT_VERSION
              )
          )
          return
  
      for flag_key in [
          "model_type",
          "ref",
          "reads_tumor",
          "reads_normal",
          "output_vcf",
      ]:
          if FLAGS.get_flag_value(flag_key, None) is None:
              sys.stderr.write("--{} is required.\n".format(flag_key))
              sys.stderr.write(
                  "Pass --helpshort or --helpfull to see help on flags.\n"
              )
              sys.exit(1)
  
      intermediate_results_dir = (
          check_or_create_intermediate_results_dir(
              _INTERMEDIATE_RESULTS_DIR.value
          )
      )
  
      if _LOGGING_DIR.value and not os.path.isdir(_LOGGING_DIR.value):
          logging.info(
              "Creating a directory for logs in %s", _LOGGING_DIR.value
          )
          os.makedirs(_LOGGING_DIR.value)
  
      commands_logfiles = create_all_commands_and_logfiles(
          intermediate_results_dir
      )
      print(
          "\n***** Intermediate results will be written to {} "
          "in docker. ****\n".format(intermediate_results_dir)
      )
      for command, logfile in commands_logfiles:
          print(
              "\n***** Running the command:*****\n{}\n".format(command)
          )
          if not _DRY_RUN.value:
              fp = open(logfile, "w") if logfile is not None else None
              with subprocess.Popen(
                  command,
                  stdout=subprocess.PIPE,
                  stderr=subprocess.STDOUT,
                  bufsize=1,
                  shell=True,
                  executable="/bin/bash",
                  universal_newlines=True,
              ) as proc:
                  for line in proc.stdout:
                      print(line, end="")
                      if fp is not None:
                          print(line, end="", file=fp)
              if fp is not None:
                  fp.close()
              if proc.returncode != 0:
                  sys.exit(proc.returncode)
  
imports: import os
  import subprocess
  import sys
  import tempfile
  from typing import Any, Dict, Optional, Tuple
  from absl import app
  from absl import flags
  from absl import logging
  import tensorflow
label_desc: Use image node_id 16 for calling a global function with example usage: main(_) without return types