import pytest

from datasets import inspect_metric, list_metrics, load_metric




@pytest.fixture
def    lowerCAmelCase_ (     __A							)     ->				Union[str, Any]:







      '''simple docstring'''


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




@pytest.fixture
def    lowerCAmelCase_ (     __A							)     ->				Any:







      '''simple docstring'''


      class      A							:


         def __init__(self     :						Dict       ,  __UpperCAmelCase     :						List[Any]		)						->				Optional[int]:
               """simple docstring"""



               UpperCAmelCase__								=  metric_id





      class      A							:
         __UpperCAmelCase : Union[str, Any]      =			[MetricMock(UpperCAmelCase_     ) for metric_id in ['accuracy', 'mse', 'precision', 'codeparrot/apps_metric']]


         def 			lowercase_      (self     :						Optional[Any]		)						->				Union[str, Any]:
               """simple docstring"""



               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    lowerCAmelCase_ (     __A,  __A,  __A,  __A,  __A							)     ->				Optional[int]:







      '''simple docstring'''


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




import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property





@unittest.skipUnless(os.path.exists(UpperCAmelCase_     )		,				'Tatoeba directory does not exist.'     )
class      A							(				unittest.TestCase     ):


   @cached_property
   def 			lowercase_      (self     :						Optional[int]		)						->				List[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  tempfile.mkdtemp()
         return TatoebaConverter(save_dir=__UpperCAmelCase		)


   @slow
   def 			lowercase_      (self     :						List[Any]		)						->				Optional[int]:
         """simple docstring"""



         self.resolver.convert_models(["heb-eng"]		)





   @slow
   def 			lowercase_      (self     :						Dict		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__		,      UpperCAmelCase__								=  self.resolver.write_model_card("opus-mt-he-en"       ,  dry_run=__UpperCAmelCase		)
         assert mmeta["long_pair"] == "heb-eng"



