

"""simple docstring"""


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate





@dataclass(frozen=__snake_case  )
class     snake_case	(				__snake_case  ):
				SCREAMING_SNAKE_CASE_   :      str         =  field(default="""automatic-speech-recognition""",							metadata={"""include_in_asdict_even_if_is_default""": True}  )
				SCREAMING_SNAKE_CASE_   :      ClassVar[Features]         =  Features({"""audio""": Audio()}  )
				SCREAMING_SNAKE_CASE_   :      ClassVar[Features]         =  Features({"""transcription""": Value("""string"""  )}  )
				SCREAMING_SNAKE_CASE_   :      str         =  "audio"
				SCREAMING_SNAKE_CASE_   :      str         =  "transcription"

				def 							lowercase_     (	self							:				List[Any]     ,  UpperCamelCase__							:				List[Any])->   Optional[int]:



						'''simple docstring'''


						if self.audio_column not in features:
								raise ValueError(f"Column {self.audio_column} is not present in features.")
						if not isinstance(features[self.audio_column]     ,  UpperCamelCase__):
								raise ValueError(f"Column {self.audio_column} is not an Audio type.")
						__lowerCAmelCase:       int          =			copy.deepcopy(self)
						__lowerCAmelCase:       Union[str, Any]          =			self.input_schema.copy()
						__lowerCAmelCase:       int          =			features[self.audio_column]
						__lowerCAmelCase:       List[Any]          =			input_schema
						return task_template




				@property
				def 							lowercase_     (	self							:				Any)->   Dict[str, str]:



						'''simple docstring'''


						return {self.audio_column: "audio", self.transcription_column: "transcription"}





"""simple docstring"""


import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	Union[str, Any]:
		monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"					, set() )






@pytest.fixture
def     a__    (    __SCREAMING_SNAKE_CASE )	->	str:





		class     snake_case	:

						def __init__(	self							:				int     ,  UpperCamelCase__							:				Optional[int])->   Union[str, Any]:



								'''simple docstring'''


								__lowerCAmelCase:       str          =			metric_id





		class     snake_case	:
						SCREAMING_SNAKE_CASE_   :      List[Any]         =  [MetricMock(__snake_case  ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]

						def 							lowercase_     (	self							:				Tuple)->   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     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE )	->	Optional[Any]:
		if "tmp_path" in args:
				__lowerCAmelCase:       Tuple          =			tuple(arg if arg != "tmp_path" else tmp_path for arg in args )
		with pytest.warns(__SCREAMING_SNAKE_CASE					, match="https://huggingface.co/docs/evaluate" ):
				func(*__SCREAMING_SNAKE_CASE )


