code: def setup_logger(
      output_dir: str,
      filename: Optional[str] = None,
      distributedlog_filename: Optional[str] = None,
      logging_config: Optional[Dict] = None,
  ) -> None:
      # logging_config must be a dictionary object specifying the configuration
      # for the loggers to be used in auto-sklearn.
      if logging_config is None:
          with open(
              os.path.join(os.path.dirname(__file__), "logging.yaml"),
              "r",
          ) as fh:
              logging_config = yaml.safe_load(fh)
  
      # Make sure we have a filename handler
      if "handlers" not in logging_config:
          logging_config["handlers"] = {}
      if "file_handler" not in logging_config["handlers"]:
          logging_config["handlers"]["file_handler"] = {
              "class": "logging.FileHandler",
              "level": "DEBUG",
              "filename": "autosklearn.log",
          }
      if "distributed_logfile" not in logging_config["handlers"]:
          # We have to create a file handler
          logging_config["handlers"]["distributed_logfile"] = {
              "class": "logging.FileHandler",
              "level": "DEBUG",
              "filename": "distributed.log",
          }
  
      if filename is None:
          filename = logging_config["handlers"]["file_handler"][
              "filename"
          ]
  
      if distributedlog_filename is None:
          distributedlog_filename = logging_config["handlers"][
              "distributed_logfile"
          ]["filename"]
  
      # Make path absolute only if required
      # This is needed because this function might be called multiple times with the same
      # dict, and we don't want /path/path/<name>.log but rather just /path/<name>.log
      if (
          os.path.sep
          not in logging_config["handlers"]["file_handler"]["filename"]
      ):
          logging_config["handlers"]["file_handler"][
              "filename"
          ] = os.path.join(output_dir, filename)
      if (
          os.path.sep
          not in logging_config["handlers"]["distributed_logfile"][
              "filename"
          ]
      ):
          logging_config["handlers"]["distributed_logfile"][
              "filename"
          ] = os.path.join(output_dir, distributedlog_filename)
      logging.config.dictConfig(logging_config)
  
imports: from typing import Any, Dict, Iterator, Optional, TextIO, Type, cast
  import logging
  import logging.config
  import logging.handlers
  import multiprocessing
  import os
  import pickle
  import random
  import select
  import socketserver
  import struct
  import threading
  import warnings
  from contextlib import contextmanager
  import yaml
label_desc: Use image node_id 1 for calling a global function with example usage: setup_logger(output_dir, filename, distributedlog_filename, logging_config) without return types