class_docstr: The user-facing class that provides metric storage functionalities.
  
  In the future we may add support for storing / logging other types of data if needed.
docstr: Returns:
      dict[name -> bool]: the user-provided hint on whether the scalar
          is noisy and needs smoothing.
docstr_tok: ["Returns",":","dict","[","name","-",">","bool","]",":","the","user-provided","hint","on","whether","the","scalar","is","noisy","and","needs","smoothing","."]
code: def smoothing_hints(self):
      """
      Returns:
          dict[name -> bool]: the user-provided hint on whether the scalar
              is noisy and needs smoothing.
      """
      return self._smoothing_hints
  
imports: import datetime
  import json
  import logging
  import os
  import time
  from collections import defaultdict
  from contextlib import contextmanager
  from functools import cached_property
  from typing import Optional
  import torch
  from fvcore.common.history_buffer import HistoryBuffer
  from detectron2.utils.file_io import PathManager
label_desc: Use image node_id 11 for calling the EventStorage obj's underlying member method code with example usage: obj.smoothing_hints() and returns: self