


"""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=lowercase_				)
class 	lowercase__				(					lowercase_				):
   __UpperCAmelCase							       =					field(default='''automatic-speech-recognition''' ,metadata={'''include_in_asdict_even_if_is_default''': True}				)
   __UpperCAmelCase							       =					Features({'''audio''': Audio()}				)
   __UpperCAmelCase							       =					Features({'''transcription''': Value('''string'''				)}				)
   __UpperCAmelCase							       =					"audio"
   __UpperCAmelCase							       =					"transcription"





   def 		UpperCamelCase_  (							self      ,   SCREAMING_SNAKE_CASE)  ->  str:







      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]      ,   SCREAMING_SNAKE_CASE):
         raise ValueError(F'Column {self.audio_column} is not an Audio type.')
      _lowerCamelCase	:					List[str]   =		copy.deepcopy(self)
      _lowerCamelCase	:					Dict   =		self.input_schema.copy()
      _lowerCamelCase	:					List[Any]   =		features[self.audio_column]
      _lowerCamelCase	:					Dict   =		input_schema
      return task_template





   @property
   def 		UpperCamelCase_  (							self)  ->  Optional[Any]:
      return {self.audio_column: "audio", self.transcription_column: "transcription"}





'''simple docstring'''

def _SCREAMING_SNAKE_CASE (A    ,					A    ,					A			)			->			list:






       """simple docstring"""







       lowercase__      =					len(A			)
       lowercase__      =					[[0] * n for i in range(A			)]
       for i in range(A			):
              lowercase__      =					y_points[i]

       for i in range(2    ,					A			):
              for j in range(A    ,					A			):
                     lowercase__      =					(
                         (xa - x_points[j - i + 1]) * q[j][i - 1]
                         - (xa - x_points[j]) * q[j - 1][i - 1]
                     ) / (x_points[j] - x_points[j - i + 1])

       return [q[n - 1][n - 1], q]


if __name__ == "__main__":
 import doctest

 doctest.testmod()




