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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def main(argv=None):
 """Run Preprocessing as a Dataflow."""

  args = parse_arguments(sys.argv if argv is None else argv)
  temp_dir = os.path.join(args.output, 'tmp')

  if args.cloud:
    pipeline_name = 'DataflowRunner'
  else:
    pipeline_name = 'DirectRunner'
    # Suppress TF warnings.
    os.environ['TF_CPP_MIN_LOG_LEVEL']='3'

  options = {
      'job_name': args.job_name,
      'temp_location': temp_dir,
      'project': args.project_id,
      'setup_file':
          os.path.abspath(os.path.join(
              os.path.dirname(__file__),
              'setup.py')),
  }
  if args.num_workers:
    options['num_workers'] = args.num_workers
  if args.worker_machine_type:
    options['worker_machine_type'] = args.worker_machine_type

  pipeline_options = beam.pipeline.PipelineOptions(flags=[], **options)

  p = beam.Pipeline(pipeline_name, options=pipeline_options)
  preprocess(pipeline=p, args=args)
  pipeline_result = p.run()

  if not args.async:
    pipeline_result.wait_until_finish()
  if args.async and args.cloud:
    print('View job at https://console.developers.google.com/dataflow/job/%s?project=%s' %
        (pipeline_result.job_id(), args.project_id))