code: def test_save_pretrained_with_push_to_hub(self):
      repo_id = repo_name("save")
      save_directory = self.cache_dir / repo_id
  
      config = {"hello": "world"}
      mocked_model = DummyModel()
      mocked_model.push_to_hub = Mock()
      mocked_model._save_pretrained = (
          Mock()
      )  # disable _save_pretrained to speed-up
  
      # Not pushed to hub
      mocked_model.save_pretrained(save_directory)
      mocked_model.push_to_hub.assert_not_called()
  
      # Push to hub with repo_id
      mocked_model.save_pretrained(
          save_directory,
          push_to_hub=True,
          repo_id="CustomID",
          config=config,
      )
      mocked_model.push_to_hub.assert_called_with(
          repo_id="CustomID", config=config
      )
  
      # Push to hub with default repo_id (based on dir name)
      mocked_model.save_pretrained(
          save_directory, push_to_hub=True, config=config
      )
      mocked_model.push_to_hub.assert_called_with(
          repo_id=repo_id, config=config
      )
  
imports: import json
  import os
  import unittest
  from pathlib import Path
  from typing import TypeVar
  from unittest.mock import Mock, patch
  import pytest
  from huggingface_hub import HfApi, hf_hub_download
  from huggingface_hub.hub_mixin import PyTorchModelHubMixin
  from huggingface_hub.utils import SoftTemporaryDirectory, is_torch_available
  from .testing_constants import ENDPOINT_STAGING, TOKEN, USER
  from .testing_utils import repo_name
label_desc: Use image node_id 4 for calling the HubMixingTest obj's underlying member method code with example usage: obj.test_save_pretrained_with_push_to_hub() without return types