



"""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=a_				)
class 			snake_case_						(						a_				):
							__lowerCAmelCase    					=					field(default="automatic-speech-recognition"     ,metadata={"include_in_asdict_even_if_is_default": True}				)
							__lowerCAmelCase    					=					Features({"audio": Audio()}				)
							__lowerCAmelCase    					=					Features({"transcription": Value("string"				)}				)
							__lowerCAmelCase    					=					"audio"
							__lowerCAmelCase    					=					"transcription"






							def snake_case_  (   self			,     a_      ):
									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]			,     a_      ):
											raise ValueError(F"""Column {self.audio_column} is not an Audio type."""      )
									a_     :      int 						=     copy.deepcopy(self      )
									a_     :      List[Any] 						=     self.input_schema.copy()
									a_     :      Union[str, Any] 						=     features[self.audio_column]
									a_     :      Any 						=     input_schema
									return task_template






							@property
							def snake_case_  (   self      ):
									return {self.audio_column: "audio", self.transcription_column: "transcription"}




"""simple docstring"""
def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)			->      float:
		_validate_point(SCREAMING_SNAKE_CASE__	)
		_validate_point(SCREAMING_SNAKE_CASE__	)
		if len(SCREAMING_SNAKE_CASE__	) != len(SCREAMING_SNAKE_CASE__	):
				raise ValueError("Both points must be in the same n-dimensional space"	)

		return float(sum(abs(a - b	) for a, b in zip(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)	)	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__	)			->      None:
		if point:
				if isinstance(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	):
						for item in point:
								if not isinstance(SCREAMING_SNAKE_CASE__, (int, float)	):
										a_     :      int 						=     (
										    "Expected a list of numbers as input, found "
										    F"""{type(SCREAMING_SNAKE_CASE__	).__name__}"""
										)
										raise TypeError(SCREAMING_SNAKE_CASE__	)
				else:
						a_     :      Dict 						=     F"""Expected a list of numbers as input, found {type(SCREAMING_SNAKE_CASE__	).__name__}"""
						raise TypeError(SCREAMING_SNAKE_CASE__	)
		else:
				raise ValueError("Missing an input"	)



def        lowerCAmelCase_						(							SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)			->      float:
		_validate_point(SCREAMING_SNAKE_CASE__	)
		_validate_point(SCREAMING_SNAKE_CASE__	)
		if len(SCREAMING_SNAKE_CASE__	) != len(SCREAMING_SNAKE_CASE__	):
				raise ValueError("Both points must be in the same n-dimensional space"	)

		return float(sum(abs(x - y	) for x, y in zip(SCREAMING_SNAKE_CASE__, SCREAMING_SNAKE_CASE__	)	)	)


if __name__ == "__main__":
					import doctest

					doctest.testmod()