code: def inspect_cache(
      patterns: List[str] = None, cache_dir: Union[str, Path] = None
  ):
      """
      Print out useful information about the cache directory.
      """
      from allennlp.common.util import format_timedelta, format_size
  
      cache_dir = os.path.expanduser(cache_dir or CACHE_DIRECTORY)
  
      # Gather cache entries by resource.
      total_size, cache_entries = _find_entries(
          patterns=patterns, cache_dir=cache_dir
      )
  
      if patterns:
          print(f"Cached resources matching {patterns}:")
      else:
          print("Cached resources:")
  
      for resource, entry in sorted(
          cache_entries.items(),
          # Sort by creation time, latest first.
          key=lambda x: max(
              0 if not x[1][0] else x[1][0][0].creation_time,
              0 if not x[1][1] else x[1][1][0].creation_time,
          ),
          reverse=True,
      ):
          print("\n-", resource)
          if entry.regular_files:
              td = timedelta(
                  seconds=time.time()
                  - entry.regular_files[0].creation_time
              )
              n_versions = len(entry.regular_files)
              size = entry.regular_files[0].size
              print(
                  f"  {n_versions} {'versions' if n_versions > 1 else 'version'} cached, "
                  f"latest {format_size(size)} from {format_timedelta(td)} ago"
              )
          if entry.extraction_dirs:
              td = timedelta(
                  seconds=time.time()
                  - entry.extraction_dirs[0].creation_time
              )
              n_versions = len(entry.extraction_dirs)
              size = entry.extraction_dirs[0].size
              print(
                  f"  {n_versions} {'versions' if n_versions > 1 else 'version'} extracted, "
                  f"latest {format_size(size)} from {format_timedelta(td)} ago"
              )
      print(f"\nTotal size: {format_size(total_size)}")
  
imports: import bz2
  import gzip
  import lzma
  import weakref
  from contextlib import contextmanager
  import glob
  import io
  import os
  import logging
  import json
  from abc import ABC
  from collections import defaultdict
  from datetime import timedelta
  from fnmatch import fnmatch
  from os import PathLike
  from pathlib import Path
  from typing import Optional, Tuple, Union, Callable, Set, List, Iterator, Iterable, Dict, NamedTuple, MutableMapping
  from weakref import WeakValueDictionary
  import shutil
  import pickle
  import time
  import warnings
  import cached_path
  from cached_path import resource_to_filename, check_tarfile, is_url_or_existing_file, find_latest_cached
  from cached_path.cache_file import CacheFile
  from cached_path.common import PathOrStr
  from cached_path.file_lock import FileLock
  from cached_path.meta import Meta
  import torch
  import numpy
  import lmdb
  from torch import Tensor
label_desc: Use image node_id 13 for calling a global function with example usage: inspect_cache(patterns, cache_dir) without return types