

'''simple docstring'''







import pytest

from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      str:
       monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings""",							set()					)
@pytest.fixture
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      Dict:


       class        A__   :



           def __init__(       self		,					UpperCamelCase__							)    ->   Any:





                  '''simple docstring'''
                  A_						       =   metric_id


       class        A__   :
           lowercase						       =		[MetricMock(_snake_case      ) for metric_id in ["accuracy", "mse", "precision", "codeparrot/apps_metric"]]



           def        snake_case_      (       self							)    ->   Optional[int]:





                  '''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__     (   UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__					)      ->      Dict:
       if "tmp_path" in args:
              A_						       =   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_tensorflow_text_available, is_torch_available


__lowerCamelCase									=     {
    '''configuration_ernie''': ['''ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ErnieConfig''', '''ErnieOnnxConfig'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ErnieForCausalLM''',
          '''ErnieForMaskedLM''',
          '''ErnieForMultipleChoice''',
          '''ErnieForNextSentencePrediction''',
          '''ErnieForPreTraining''',
          '''ErnieForQuestionAnswering''',
          '''ErnieForSequenceClassification''',
          '''ErnieForTokenClassification''',
          '''ErnieModel''',
          '''ErniePreTrainedModel''',
      ]

if TYPE_CHECKING:
      from .configuration_ernie import ERNIE_PRETRAINED_CONFIG_ARCHIVE_MAP, ErnieConfig, ErnieOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_ernie import (
                ERNIE_PRETRAINED_MODEL_ARCHIVE_LIST,
                ErnieForCausalLM,
                ErnieForMaskedLM,
                ErnieForMultipleChoice,
                ErnieForNextSentencePrediction,
                ErnieForPreTraining,
                ErnieForQuestionAnswering,
                ErnieForSequenceClassification,
                ErnieForTokenClassification,
                ErnieModel,
                ErniePreTrainedModel,
            )

else:
      import sys

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