




import pytest

from datasets import inspect_metric, list_metrics, load_metric



@pytest.fixture
def 							_A       (						lowerCAmelCase_					: List[str]      ):
     """simple docstring"""

     monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"       ,    set()      )



@pytest.fixture
def 							_A       (						lowerCAmelCase_					: Dict      ):
     """simple docstring"""

     class 			__lowerCamelCase	:




         """simple docstring"""

         def __init__(	self					:					List[str]       ,     SCREAMING_SNAKE_CASE__					:					Optional[Any]       )				->	Optional[int]:
              lowerCAmelCase__          =			metric_id






     class 			__lowerCamelCase	:




         """simple docstring"""

         snake_case__ =				[MetricMock(lowerCamelCase__   ) for metric_id in ['accuracy', 'mse', 'precision', 'codeparrot/apps_metric']]


         def        a				(	self					:					int       )				->	Union[str, Any]:
              return self._metrics






     monkeypatch.setattr("datasets.inspect.huggingface_hub"       ,    HfhMock()      )






@pytest.mark.parametrize(
    "func, args"       ,    [(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]      )
def 							_A       (						lowerCAmelCase_					: Tuple       ,    lowerCAmelCase_					: Optional[int]       ,    lowerCAmelCase_					: Any       ,    lowerCAmelCase_					: Union[str, Any]       ,    lowerCAmelCase_					: Optional[Any]      ):
     """simple docstring"""

     if "tmp_path" in args:
          lowerCAmelCase__          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args      )
     with pytest.warns(__snake_case       ,    match="https://huggingface.co/docs/evaluate"      ):
          func(*__snake_case      )






import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer



def 							_A       (						lowerCAmelCase_					: str       ,    lowerCAmelCase_					: str       ,    **lowerCAmelCase_					: str      ):
     """simple docstring"""

     lowerCAmelCase__          =			AutoConfig.from_pretrained(lowerCAmelCase_       ,    **lowerCAmelCase_      )
     lowerCAmelCase__          =			AutoModelForSeqaSeqLM.from_config(lowerCAmelCase_      )
     model.save_pretrained(lowerCAmelCase_      )
     AutoTokenizer.from_pretrained(lowerCAmelCase_      ).save_pretrained(lowerCAmelCase_      )
     return model


if __name__ == "__main__":
     fire.Fire(save_randomly_initialized_version)
