






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 							snake_case_       (    __UpperCamelCase      ):

						"""simple docstring"""



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



						def        UpperCAmelCase__					(self:					int ,					__UpperCAmelCase:					List[str]   )    ->     List[str]:




											'''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.'   )
											__a					:						List[Any]      =					copy.deepcopy(self   )
											__a					:						List[str]      =					self.input_schema.copy()
											__a					:						Tuple      =					features[self.audio_column]
											__a					:						str      =					input_schema
											return task_template



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




											'''simple docstring'''



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













from __future__ import annotations







def     a_   (__A      )				->						int:



					"""simple docstring"""
					__a					:						List[Any]      =					len(__A      ) // 2

					# choose the middle 3 elements
					__a					:						Any      =					lst[m - 1 : m + 2]

					# if middle element is peak
					if three[1] > three[0] and three[1] > three[2]:
										return three[1]

					# if increasing, recurse on right
					elif three[0] < three[2]:
										if len(lst[:m]      ) == 2:
															m -= 1
										return peak(lst[m:]      )

					# decreasing
					else:
										if len(lst[:m]      ) == 2:
															m += 1
										return peak(lst[:m]      )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





