





from ...configuration_utils import PretrainedConfig
from ...utils import logging


a__: Union[str, Any]							   =						logging.get_logger(__name__)

a__: Union[str, Any]							   =						{
    'google/fnet-base': 'https://huggingface.co/google/fnet-base/resolve/main/config.json',
    'google/fnet-large': 'https://huggingface.co/google/fnet-large/resolve/main/config.json'
    # See all FNet models at https://huggingface.co/models?filter=fnet
}




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):
 __SCREAMING_SNAKE_CASE							=      '''fnet'''



 def __init__(				self,__lowerCamelCase=3_2000,__lowerCamelCase=768,__lowerCamelCase=12,__lowerCamelCase=3072,__lowerCamelCase="gelu_new",__lowerCamelCase=0.1,__lowerCamelCase=512,__lowerCamelCase=4,__lowerCamelCase=0.02,__lowerCamelCase=1E-12,__lowerCamelCase=False,__lowerCamelCase=512,__lowerCamelCase=3,__lowerCamelCase=1,__lowerCamelCase=2,**__lowerCamelCase,):
        super().__init__(pad_token_id=__lowerCamelCase,bos_token_id=__lowerCamelCase,eos_token_id=__lowerCamelCase,**__lowerCamelCase					)

        A__		   =		vocab_size
        A__		   =		max_position_embeddings
        A__		   =		hidden_size
        A__		   =		num_hidden_layers
        A__		   =		intermediate_size
        A__		   =		hidden_act
        A__		   =		hidden_dropout_prob
        A__		   =		initializer_range
        A__		   =		type_vocab_size
        A__		   =		layer_norm_eps
        A__		   =		use_tpu_fourier_optimizations
        A__		   =		tpu_short_seq_length












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





