


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def  UpperCamelCase					(	__magic_name__     :							int     )   ->  Dict:
		"""simple docstring"""




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






@pytest.fixture
def  UpperCamelCase					(	__magic_name__     :							Union[str, Any]     )   ->  str:
		"""simple docstring"""




		class 							A    :
							'''simple docstring'''






							def __init__(self    :						int      ,					_UpperCAmelCase    :						Dict		)						->   Tuple:




									"""simple docstring"""


									lowercase__     			=		metric_id






		class 							A    :
							'''simple docstring'''






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

							def   lowerCamelCase__     (self    :						Tuple		)						->   Tuple:




									"""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  UpperCamelCase					(	__magic_name__     :							List[Any]    ,    __magic_name__     :							int    ,    __magic_name__     :							str    ,    __magic_name__     :							Tuple    ,    __magic_name__     :							Dict     )   ->  Optional[int]:
		"""simple docstring"""




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


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCamelCase  							=						{
    '''configuration_groupvit''': [
        '''GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''GroupViTConfig''',
        '''GroupViTOnnxConfig''',
        '''GroupViTTextConfig''',
        '''GroupViTVisionConfig''',
    ],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase  							=						[
          '''GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''GroupViTModel''',
          '''GroupViTPreTrainedModel''',
          '''GroupViTTextModel''',
          '''GroupViTVisionModel''',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase  							=						[
          '''TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''TFGroupViTModel''',
          '''TFGroupViTPreTrainedModel''',
          '''TFGroupViTTextModel''',
          '''TFGroupViTVisionModel''',
      ]

if TYPE_CHECKING:
      from .configuration_groupvit import (
          GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          GroupViTConfig,
          GroupViTOnnxConfig,
          GroupViTTextConfig,
          GroupViTVisionConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_groupvit import (
                GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                GroupViTModel,
                GroupViTPreTrainedModel,
                GroupViTTextModel,
                GroupViTVisionModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_groupvit import (
                TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFGroupViTModel,
                TFGroupViTPreTrainedModel,
                TFGroupViTTextModel,
                TFGroupViTVisionModel,
            )

else:
      import sys

      UpperCamelCase  							=						_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



