

from __future__ import annotations

import math
from collections.abc import Callable





def      snake_case_				(__A					:						Callable[[int | float], int | float] ,       __A					:						int | float ,       __A					:						int | float ,       __A					:						int = 1_0_0 ,       )      ->     float:
   __lowerCAmelCase  :      List[str]    =						x_start
   __lowerCAmelCase  :      Optional[int]    =						fnc(__A					)
   __lowerCAmelCase  :      Optional[Any]    =						0.0

   for _ in range(__A					):
      # Approximates curve as a sequence of linear lines and sums their length
      __lowerCAmelCase  :      List[str]    =						(x_end - x_start) / steps + xa
      __lowerCAmelCase  :      Optional[Any]    =						fnc(__A					)
      length += math.hypot(xa - xa ,       fxa - fxa					)

      # Increment step
      __lowerCAmelCase  :      Tuple    =						xa
      __lowerCAmelCase  :      str    =						fxa

   return length


if __name__ == "__main__":





   def      snake_case_				(__A					:						Tuple					)      ->     List[Any]:
      return math.sin(1_0 * x					)

   print("""f(x) = sin(10 * x)""")
   print("""The length of the curve from x = -10 to x = 10 is:""")
   __UpperCAmelCase								=			10
   while i <= 100_000:
      print(F'With {i} steps: {line_length(f, -10, 10, i)}')
      i *= 10





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

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



@dataclass(frozen=a_			)
class SCREAMING_SNAKE_CASE     (  a_			):
  """simple docstring"""






  lowerCamelCase   :      str										=field(default="audio-classification"       ,							metadata={"include_in_asdict_even_if_is_default": True}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"audio": Audio()}			)
  lowerCamelCase   :      ClassVar[Features]										=Features({"labels": ClassLabel}			)
  lowerCamelCase   :      str										="audio"
  lowerCamelCase   :      str										="labels"







  def 	SCREAMING_SNAKE_CASE   (      self			:   List[Any]	,							lowerCAmelCase			:   Dict   )							->     Dict:






     """simple docstring"""







     if self.label_column not in features:
        raise ValueError(f'''Column {self.label_column} is not present in features.'''   )
     if not isinstance(features[self.label_column]	,							lowerCAmelCase   ):
        raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''   )
     __lowerCAmelCase  :      Tuple    =						copy.deepcopy(self   )
     __lowerCAmelCase  :      Tuple    =						self.label_schema.copy()
     __lowerCAmelCase  :      Union[str, Any]    =						features[self.label_column]
     __lowerCAmelCase  :      Any    =						label_schema
     return task_template







  @property
  def 	SCREAMING_SNAKE_CASE   (      self			:   str   )							->     Dict[str, str]:






     """simple docstring"""







     return {
         self.audio_column: "audio",
         self.label_column: "labels",
     }


