docstr: Fetch tensorboard events files from storage and save to local directory
docstr_tok: ["Fetch","tensorboard","events","files","from","storage","and","save","to","local","directory"]
code: def __init__(
      self,
      storage_config: Dict[str, Any],
      storage_paths: List[str],
      local_dir: str,
  ):
      """Fetch tensorboard events files from storage and save to local directory"""
      _ = storage_config
      self.local_dir = local_dir
      self.storage_paths = storage_paths
      self._file_records = {}
  
file_path: determined/harness/determined/tensorboard/fetchers/shared.py
imports: import datetime
  import logging
  import os
  import posixpath
  import shutil
  from typing import Any, Callable, Dict, Generator, List
  from .base import Fetcher
label_desc: Use image node_id 1 to create a new SharedFSFetcher object from inherited base classes: Fetcher with example: obj = SharedFSFetcher(storage_config, storage_paths, local_dir)