

import pytest

from datasets import inspect_metric, list_metrics, load_metric





@pytest.fixture
def      A__					(			__A  :						Union[str, Any]			)					->int:
      monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings'''     ,				set()			)





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





      class        lowerCAmelCase__  :



             '''simple docstring'''







             def __init__(							self ,   lowercase__     ):







                   '''simple docstring'''



                   __A    =metric_id





      class        lowerCAmelCase__  :



             '''simple docstring'''







             lowercase_						=    [MetricMock(__magic_name__			) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

             def     __UpperCamelCase     (							self     ):







                   '''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      A__					(			__A  :						Optional[int]     ,				__A  :						Optional[int]     ,				__A  :						List[Any]     ,				__A  :						Dict     ,				__A  :						Optional[Any]			)					->Union[str, Any]:
      if "tmp_path" in args:
            __A    =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			)





from typing import TYPE_CHECKING

from ...utils import _LazyModule


_lowerCamelCase      :					Tuple					    =      {'''tokenization_byt5''': ['''ByT5Tokenizer''']}


if TYPE_CHECKING:
   from .tokenization_byta import ByTaTokenizer
else:
   import sys

   _lowerCamelCase      :					Optional[int]					    =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


