code: def help_message(verbose=False):
      def pad_to(s, length=30):
          assert len(s) <= length
          return s + " " * (length - len(s))
  
      if verbose:
          printed_artifacts = log_registry.artifact_names
      else:
          printed_artifacts = log_registry.visible_artifacts
  
      if verbose:
          heading = "All registered names"
      else:
          heading = "Visible registered names (use TORCH_LOGS='+help' for full list)"
      lines = (
          ["all"]
          + sorted(log_registry.log_alias_to_log_qnames.keys())
          + sorted(
              [
                  f"{pad_to(name)}\t{log_registry.artifact_descriptions[name]}"
                  for name in printed_artifacts
              ]
          )
      )
      setting_info = "  " + "\n  ".join(lines)
      examples = """
  Examples:
    TORCH_LOGS="+dynamo,aot" will set the log level of TorchDynamo to
    logging.DEBUG and AOT to logging.INFO
  
    TORCH_LOGS="-dynamo,+inductor" will set the log level of TorchDynamo to
    logging.ERROR and TorchInductor to logging.DEBUG
  
    TORCH_LOGS="aot_graphs" will enable the aot_graphs artifact
  
    TORCH_LOGS="+dynamo,schedule" will enable set the log level of TorchDynamo
    to logging.DEBUG and enable the schedule artifact
  
    TORCH_LOGS="+some.random.module,schedule" will set the log level of
    some.random.module to logging.DEBUG and enable the schedule artifact
  
    TORCH_LOGS_FORMAT="%(levelname)s: %(message)s" or any provided format
    string will set the output format
    Valid keys are "levelname", "message", "pathname", "levelno", "lineno",
    "filename" and "name".
  
    TORCH_LOGS_OUT=/tmp/output.txt will output the logs to /tmp/output.txt as
    well. This is useful when the output is long.
  """  # flake8: noqa: B950
      msg = f"""
  TORCH_LOGS Info
  {examples}
  
  {heading}
  {setting_info}
  """
      return msg
  
imports: import functools
  import itertools
  import logging
  import os
  import re
  from dataclasses import dataclass, field
  from importlib import __import__
  from typing import Dict, List, Optional, Set, Union
  from weakref import WeakSet
  import torch._guards
  import torch.distributed
label_desc: Use image node_id 9 for calling a global function with example usage: help_message(verbose) and returns: msg, unknown