





from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):



 def __init__(				self,__lowerCamelCase,__lowerCamelCase = None,__lowerCamelCase = None,__lowerCamelCase = False,__lowerCamelCase = False,__lowerCamelCase = None,__lowerCamelCase = None,**__lowerCamelCase,):
        super().__init__(
            features=__lowerCamelCase,cache_dir=__lowerCamelCase,keep_in_memory=__lowerCamelCase,streaming=__lowerCamelCase,num_proc=__lowerCamelCase,**__lowerCamelCase,)
        A__		   =		Generator(
            cache_dir=__lowerCamelCase,features=__lowerCamelCase,generator=__lowerCamelCase,gen_kwargs=__lowerCamelCase,**__lowerCamelCase,)




 def 							UpperCamelCase     (				self					):
        # Build iterable dataset
        if self.streaming:
               A__		   =		self.builder.as_streaming_dataset(split='''train'''					)
        # Build regular (map-style) dataset
        else:
               A__		   =		None
               A__		   =		None
               A__		   =		None
               A__		   =		None

               self.builder.download_and_prepare(
                   download_config=__lowerCamelCase,download_mode=__lowerCamelCase,verification_mode=__lowerCamelCase,base_path=__lowerCamelCase,num_proc=self.num_proc,)
               A__		   =		self.builder.as_dataset(
                   split='''train''',verification_mode=__lowerCamelCase,in_memory=self.keep_in_memory					)
        return dataset












from __future__ import annotations

import math
from collections.abc import Callable


def       UpperCamelCase__(			UpperCamelCase__     :			Callable[[int | float], int | float]					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int | float					,	UpperCamelCase__     :			int = 1_00					,	)->float:
       A__		   =		x_start
       A__		   =		fnc(UpperCamelCase__    )
       A__		   =		0.0

       for _ in range(UpperCamelCase__    ):
              # Approximates curve as a sequence of linear lines and sums their length
              A__		   =		(x_end - x_start) / steps + xa
              A__		   =		fnc(UpperCamelCase__    )
              length += math.hypot(xa - xa					,	fxa - fxa    )

              # Increment step
              A__		   =		xa
              A__		   =		fxa

       return length


if __name__ == "__main__":


       def       UpperCamelCase__(			UpperCamelCase__     :			Union[str, Any]    )->Dict:
              return math.sin(10 * x    )

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





