code: def test_updated_kwargs(
      current_kwargs: Dict[str, Any], new_kwargs: Dict[str, Any]
  ):
      # Using only the Transformer's TrainingArguments as an example, no need to check if the arguments are correct
  
      new_arguments = _updated_arguments(
          default_transformer_args, current_kwargs
      )
      assert set(
          _prepare_dict_for_comparison(new_arguments).items()
      ) == set(_prepare_dict_for_comparison(new_kwargs).items())
  
file_path: argilla/tests/unit/client/feedback/integrations/huggingface/test_model_card.py
imports: from dataclasses import dataclass
  from typing import Any, Dict
  import pytest
  from argilla.client.feedback.integrations.huggingface.model_card.model_card import _prepare_dict_for_comparison, _updated_arguments
  from argilla.training.utils import get_default_args
  from transformers import TrainingArguments
label_desc: Use image node_id 1 for calling a global function with example usage: test_updated_kwargs(current_kwargs, new_kwargs) without return types