code: def reset_logging():
      root = logging.getLogger()
      for handler in root.handlers:
          root.removeHandler(handler)
      root.setLevel(os.environ.get("LOGLEVEL", "INFO").upper())
      handler = logging.StreamHandler(sys.stdout)
      handler.setFormatter(
          logging.Formatter(
              fmt="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
              datefmt="%Y-%m-%d %H:%M:%S",
          )
      )
      root.addHandler(handler)
  
imports: import ast
  import hashlib
  import logging
  import os
  import shutil
  import sys
  import re
  from dataclasses import dataclass, field, is_dataclass
  from pathlib import Path
  from typing import Any, Dict, List, Optional, Tuple, Union
  import editdistance
  import torch
  import torch.distributed
  from examples.speech_recognition.new.decoders.decoder_config import DecoderConfig, FlashlightDecoderConfig
  from examples.speech_recognition.new.decoders.decoder import Decoder
  from fairseq import checkpoint_utils, distributed_utils, progress_bar, tasks, utils
  from fairseq.data.data_utils import post_process
  from fairseq.dataclass.configs import CheckpointConfig, CommonConfig, CommonEvalConfig, DatasetConfig, DistributedTrainingConfig, FairseqDataclass
  from fairseq.logging.meters import StopwatchMeter, TimeMeter
  from fairseq.logging.progress_bar import BaseProgressBar
  from fairseq.models.fairseq_model import FairseqModel
  from omegaconf import OmegaConf
  import hydra
  from hydra.core.config_store import ConfigStore
label_desc: Use image node_id 1 for calling a global function with example usage: reset_logging() without return types