'''simple docstring'''
import pytest

from datasets import inspect_metric, list_metrics, load_metric



@pytest.fixture
def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


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



@pytest.fixture
def  __lowerCamelCase       (      _UpperCamelCase  :  Optional[int]					):


      '''simple docstring'''


      class lowerCamelCase							:




        '''simple docstring'''



        def __init__(      self			:       Union[str, Any]  ,							UpperCAmelCase__			:       List[Any]  )				->Optional[int]:
              UpperCAmelCase_            =  metric_id







      class lowerCamelCase							:




        '''simple docstring'''



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






        def  lowerCAmelCase__ (      self			:       str  )				->List[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  __lowerCamelCase       (      _UpperCamelCase  :  Tuple							,    _UpperCamelCase  :  List[str]							,    _UpperCamelCase  :  Dict							,    _UpperCamelCase  :  Union[str, Any]							,    _UpperCamelCase  :  Dict					):


      '''simple docstring'''


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






'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


lowercase__  :      Optional[Any]        =					{
    "configuration_encodec": [
        "ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "EncodecConfig",
    ],
    "feature_extraction_encodec": ["EncodecFeatureExtractor"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase__  :      List[str]        =					[
          "ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST",
          "EncodecModel",
          "EncodecPreTrainedModel",
      ]

if TYPE_CHECKING:
      from .configuration_encodec import (
          ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
          EncodecConfig,
      )
      from .feature_extraction_encodec import EncodecFeatureExtractor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_encodec import (
                ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
                EncodecModel,
                EncodecPreTrainedModel,
            )

else:
      import sys

      lowercase__  :      str        =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





