code: def main(parsed_argv: Tuple[argparse.Namespace, List[str]]):
      args, beam_args = parsed_argv
      _run_executor(args, beam_args)
  
imports: import argparse
  import os
  from typing import List, Tuple
  from absl import app
  from absl import logging
  from absl.flags import argparse_flags
  from kfp.pipeline_spec import pipeline_spec_pb2
  from tfx.components.evaluator import executor
  from tfx.dsl.components.base import base_beam_executor
  from tfx.dsl.components.base import base_executor
  from tfx.dsl.io import fileio
  from tfx.orchestration.kubeflow.v2.container import kubeflow_v2_entrypoint_utils
  from tfx.orchestration.portable import outputs_utils
  from tfx.types import artifact_utils
  from tfx.types import standard_artifacts
  from tfx.types import standard_component_specs
  from tfx.types import value_artifact
  from tfx.utils import import_utils
  from google.protobuf import json_format
label_desc: Use image node_id 3 for calling a global function with example usage: main(parsed_argv) without return types