code: def test_push_to_hub_in_organization(self):
      feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(
          SAMPLE_FEATURE_EXTRACTION_CONFIG_DIR
      )
      feature_extractor.push_to_hub(
          "valid_org/test-feature-extractor", use_auth_token=self._token
      )
  
      new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(
          "valid_org/test-feature-extractor"
      )
      for k, v in feature_extractor.__dict__.items():
          self.assertEqual(v, getattr(new_feature_extractor, k))
  
      # Reset repo
      delete_repo(
          token=self._token, repo_id="valid_org/test-feature-extractor"
      )
  
      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
          feature_extractor.save_pretrained(
              tmp_dir,
              repo_id="valid_org/test-feature-extractor-org",
              push_to_hub=True,
              use_auth_token=self._token,
          )
  
      new_feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(
          "valid_org/test-feature-extractor-org"
      )
      for k, v in feature_extractor.__dict__.items():
          self.assertEqual(v, getattr(new_feature_extractor, k))
  
imports: import json
  import os
  import sys
  import tempfile
  import unittest
  import unittest.mock
  from pathlib import Path
  from huggingface_hub import HfFolder, delete_repo, set_access_token
  from requests.exceptions import HTTPError
  from transformers import AutoFeatureExtractor, Wav2Vec2FeatureExtractor
  from transformers.testing_utils import TOKEN, USER, check_json_file_has_correct_format, get_tests_dir, is_staging_test
  from transformers.utils import is_torch_available, is_vision_available
  from test_module.custom_feature_extraction import CustomFeatureExtractor
label_desc: Use image node_id 4 for calling the FeatureExtractorPushToHubTester obj's underlying member method code with example usage: obj.test_push_to_hub_in_organization() without return types