code: def test_push_to_hub_keras_mixin_via_http_basic(self):
      repo_id = f"{USER}/{repo_name()}"
  
      model = DummyModel()
      model(model.dummy_inputs)
  
      model.push_to_hub(
          repo_id=repo_id,
          api_endpoint=ENDPOINT_STAGING,
          token=TOKEN,
          config={"num": 7, "act": "gelu_fast"},
      )
  
      # Test model id exists
      model_info = self._api.model_info(repo_id)
      self.assertEqual(model_info.modelId, repo_id)
  
      # Test config has been pushed to hub
      config_path = hf_hub_download(
          repo_id=repo_id,
          filename="config.json",
          use_auth_token=TOKEN,
          cache_dir=self.cache_dir,
      )
      with open(config_path) as f:
          self.assertEqual(json.load(f), {"num": 7, "act": "gelu_fast"})
  
      # Delete tmp file and repo
      self._api.delete_repo(repo_id=repo_id)
  
imports: import json
  import os
  import unittest
  from pathlib import Path
  import pytest
  from huggingface_hub import HfApi, hf_hub_download, snapshot_download
  from huggingface_hub.keras_mixin import KerasModelHubMixin, from_pretrained_keras, push_to_hub_keras, save_pretrained_keras
  from huggingface_hub.utils import is_graphviz_available, is_pydot_available, is_tf_available, logging
  from .testing_constants import ENDPOINT_STAGING, TOKEN, USER
  from .testing_utils import repo_name
label_desc: Use image node_id 4 for calling the HubMixingTestKeras obj's underlying member method code with example usage: obj.test_push_to_hub_keras_mixin_via_http_basic() without return types