code: def main():
      # Late import to avoid circular dependency.
      from torchbiggraph.util import (
          set_logging_verbosity,
          setup_logging,
      )
  
      setup_logging()
      parser = argparse.ArgumentParser()
      parser.add_argument("config", help="Path to config file")
      parser.add_argument("query", help="Name of param to retrieve")
      parser.add_argument("-p", "--param", action="append", nargs="*")
      opt = parser.parse_args()
  
      if opt.param is not None:
          overrides = chain.from_iterable(opt.param)  # flatten
      else:
          overrides = None
      loader = ConfigFileLoader()
      config = loader.load_config(opt.config, overrides)
      set_logging_verbosity(config.verbose)
  
      print(config[opt.query])
  
imports: import argparse
  import importlib
  import logging
  import os.path
  import shutil
  import sys
  import tempfile
  import uuid
  from enum import Enum
  from itertools import chain
  from typing import Any, ClassVar, Dict, List, Optional
  import attr
  from attr.validators import optional
  from torchbiggraph.schema import DeepTypeError, extract_nested_type, has_origin, inject_nested_value, non_empty, non_negative, positive, Schema, schema
label_desc: Use image node_id 4 for calling a global function with example usage: main() without return types