


import math



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ )-> float:
				return math.pow(lowerCAmelCase_ ,   2 ) - a



def 			lowerCAmelCase (		lowerCAmelCase_ )-> float:
				return 2 * x



def 			lowerCAmelCase (		lowerCAmelCase_ )-> float:
				lowerCAmelCase_ :      str    				=				2.0

				while start <= a:
								lowerCAmelCase_ :      Dict    				=				math.pow(lowerCAmelCase_ ,   2 )

				return start



def 			lowerCAmelCase (		lowerCAmelCase_ ,   lowerCAmelCase_ = 9_999 ,   lowerCAmelCase_ = 0.00000000000001 )-> float:

				if a < 0:
								raise ValueError('''math domain error''' )

				lowerCAmelCase_ :      List[Any]    				=				get_initial_point(lowerCAmelCase_ )

				for _ in range(lowerCAmelCase_ ):
								lowerCAmelCase_ :      Union[str, Any]    				=				value
								lowerCAmelCase_ :      List[str]    				=				value - fx(lowerCAmelCase_ ,   lowerCAmelCase_ ) / fx_derivative(lowerCAmelCase_ )
								if abs(prev_value - value ) < tolerance:
												return value

				return value


if __name__ == "__main__":
						from doctest import testmod

						testmod()



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'''




						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   ,						__lowercase							)					->    int:
										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."""							)
										lowerCAmelCase_ :      List[str]    				=				copy.deepcopy(self							)
										lowerCAmelCase_ :      Optional[Any]    				=				self.input_schema.copy()
										lowerCAmelCase_ :      Optional[Any]    				=				features[self.audio_column]
										lowerCAmelCase_ :      List[str]    				=				input_schema
										return task_template




						@property
						def 						lowercase_ (				self							)					->    Dict[str, str]:
										return {self.audio_column: "audio", self.transcription_column: "transcription"}