class_docstr: A wrapper class for testing PPOTrainer
class_docstr_tok: ["A","wrapper","class","for","testing","PPOTrainer"]
code: def test_push_to_hub(self):
      REPO_NAME = "test-ppo-trainer"
      repo_id = f"{CI_HUB_USER}/{REPO_NAME}"
  
      ppo_trainer = PPOTrainer(
          config=self.ppo_config,
          model=self.gpt2_model,
          ref_model=None,
          tokenizer=self.gpt2_tokenizer,
          dataset=self._init_dummy_dataset(),
      )
      with tempfile.TemporaryDirectory():
          url = ppo_trainer.push_to_hub(
              repo_id=repo_id,
              token=self._token,
              api_endpoint=CI_HUB_ENDPOINT,
          )
          # Extract repo_name from the url
          re_search = re.search(
              CI_HUB_ENDPOINT + r"/([^/]+/[^/]+)/", url
          )
          self.assertTrue(re_search is not None)
          hub_repo_id = re_search.groups()[0]
          # Check we created a Hub repo
          self.assertEqual(hub_repo_id, repo_id)
          # Ensure all files are present
          files = sorted(self._api.list_repo_files(hub_repo_id))
          assert all(
              fnmatch.fnmatch(file, expected_file)
              for file, expected_file in zip(
                  files,
                  [
                      ".gitattributes",
                      "README.md",
                      "config.json",
                      "merges.txt",
                      "pytorch_model.bin",
                      "special_tokens_map.json",
                      "tokenizer_config.json",
                      "vocab.json",
                  ],
              )
          )
  
imports: import copy
  import fnmatch
  import gc
  import re
  import tempfile
  import unittest
  import pytest
  import torch
  from huggingface_hub import HfApi, HfFolder, delete_repo
  from parameterized import parameterized
  from pytest import mark
  from requests.exceptions import HTTPError
  from transformers import AutoTokenizer
  from trl import AutoModelForCausalLMWithValueHead, AutoModelForSeq2SeqLMWithValueHead, PPOConfig, PPOTrainer, set_seed
  from trl.core import respond_to_batch
  from .testing_constants import CI_HUB_ENDPOINT, CI_HUB_USER, CI_HUB_USER_TOKEN
  from .testing_utils import require_peft, require_torch_multi_gpu
label_desc: Use image node_id 24 for calling the PPOTrainerTester obj's underlying member method code with example usage: obj.test_push_to_hub() without return types