

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

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


@dataclass(frozen=_UpperCAmelCase			)
class 			A						(							_UpperCAmelCase			):







				"""simple docstring"""





				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			:	Optional[int],lowercase_			:	Any		)->   List[Any]:





								'''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],lowercase_		):
												raise ValueError(F'Column {self.audio_column} is not an Audio type.'		)
								A__   				=       copy.deepcopy(self		)
								A__   				=       self.input_schema.copy()
								A__   				=       features[self.audio_column]
								A__   				=       input_schema
								return task_template


				@property
				def 						snake_case__					(				self			:	Optional[int]		)->   Dict[str, str]:





								'''simple docstring'''







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




import random
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list   ,      SCREAMING_SNAKE_CASE__      :     str				)							->				tuple:





    '''simple docstring'''






    A__				,						A__				,						A__   				=       [], [], []
    for element in data:
        if element < pivot:
            less.append(SCREAMING_SNAKE_CASE__				)
        elif element > pivot:
            greater.append(SCREAMING_SNAKE_CASE__				)
        else:
            equal.append(SCREAMING_SNAKE_CASE__				)
    return less, equal, greater

def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list   ,      SCREAMING_SNAKE_CASE__      :     int				)							->				str:





    '''simple docstring'''






    if index >= len(SCREAMING_SNAKE_CASE__				) or index < 0:
        return None

    A__   				=       items[random.randint(0   ,      len(SCREAMING_SNAKE_CASE__				) - 1				)]
    A__   				=       0
    A__				,						A__				,						A__   				=       _partition(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
    A__   				=       len(SCREAMING_SNAKE_CASE__				)
    A__   				=       len(SCREAMING_SNAKE_CASE__				)

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
    # must be in larger
    else:
        return quick_select(SCREAMING_SNAKE_CASE__   ,      index - (m + count)				)

