code: def test_cached_path(self):
      url = "http://fake.datastore.com/glove.txt.gz"
      set_up_glove(url, self.glove_bytes)
  
      # non-existent file
      with pytest.raises(FileNotFoundError):
          filename = cached_path(
              self.FIXTURES_ROOT / "does_not_exist" / "fake_file.tar.gz"
          )
  
      # unparsable URI
      with pytest.raises(ValueError):
          filename = cached_path(
              "fakescheme://path/to/fake/file.tar.gz"
          )
  
      # existing file as path
      assert cached_path(self.glove_file) == str(self.glove_file)
  
      # caches urls
      # filename = cached_path(url, cache_dir=self.TEST_DIR)
  
      # assert len(responses.calls) == 2
      # assert filename == os.path.join(self.TEST_DIR, _resource_to_filename(url, etag="0"))
  
      # with open(filename, "rb") as cached_file:
      #     assert cached_file.read() == self.glove_bytes
  
      # archives
      filename = cached_path(
          self.FIXTURES_ROOT / "common" / "quote.tar.gz!quote.txt",
          extract_archive=True,
          cache_dir=self.TEST_DIR,
      )
      with open(filename, "r") as f:
          assert f.read().startswith("I mean, ")
  
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 5 for calling the TestFileUtils obj's underlying member method code with example usage: obj.test_cached_path() without return types