code: def create_cache_entry(
      self, url: str, etag: str, as_extraction_dir: bool = False
  ):
      filename = os.path.join(
          self.TEST_DIR, _resource_to_filename(url, etag)
      )
      cache_path = filename
      if as_extraction_dir:
          cache_path = filename + "-extracted"
          filename = filename + "-extracted/glove.txt"
          os.mkdir(cache_path)
      with open(filename, "wb") as f:
          f.write(self.glove_bytes)
      open(cache_path + ".lock", "a").close()
      meta = _Meta(
          resource=url,
          cached_path=cache_path,
          etag=etag,
          creation_time=time.time(),
          size=len(self.glove_bytes),
          extraction_dir=as_extraction_dir,
      )
      meta.to_file()
  
imports: import os
  import pathlib
  import json
  import time
  import shutil
  from filelock import Timeout
  import pytest
  import responses
  import torch
  from allennlp.common.file_utils import FileLock, _resource_to_filename, filename_to_url, cached_path, open_compressed, CacheFile, _Meta, _find_entries, inspect_cache, remove_cache_entries, LocalCacheResource, TensorCache
  from allennlp.common import Params
  from allennlp.modules.token_embedders import ElmoTokenEmbedder
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.predictors import Predictor
label_desc: Use image node_id 10 for calling the TestFileUtils obj's underlying member method code with example usage: obj.create_cache_entry(url, etag, as_extraction_dir) without return types