
import logging

from transformers import PretrainedConfig


lowercase__	:int										=					logging.getLogger(__name__)


lowercase__	:Dict										=					{
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}







class        lowercase	(      SCREAMING_SNAKE_CASE__	):
							lowercase_ : Optional[int]       ='''bertabs'''




							def __init__(       self     ,A__=3_0_5_2_2     ,A__=5_1_2     ,A__=6     ,A__=5_1_2     ,A__=8     ,A__=5_1_2     ,A__=0.2     ,A__=6     ,A__=7_6_8     ,A__=8     ,A__=2_0_4_8     ,A__=0.2     ,**A__     ,):
												super().__init__(**A__)

												lowercase					=		vocab_size
												lowercase					=		max_pos

												lowercase					=		enc_layers
												lowercase					=		enc_hidden_size
												lowercase					=		enc_heads
												lowercase					=		enc_ff_size
												lowercase					=		enc_dropout

												lowercase					=		dec_layers
												lowercase					=		dec_hidden_size
												lowercase					=		dec_heads
												lowercase					=		dec_ff_size
												lowercase					=		dec_dropout






from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff



def  UpperCamelCase					(							lowerCAmelCase__				,    lowerCAmelCase__				,    lowerCAmelCase__ = 10**-10	):
					'''simple docstring'''
					lowercase					=		a
					while True:
										lowercase					=		Decimal(lowerCAmelCase__	) - (
										    Decimal(eval(lowerCAmelCase__	)	) / Decimal(eval(str(diff(lowerCAmelCase__	)	)	)	)  # noqa: S307
										)
										# This number dictates the accuracy of the answer
										if abs(eval(lowerCAmelCase__	)	) < precision:  # noqa: S307
															return float(lowerCAmelCase__	)


# Let's Execute
if __name__ == "__main__":
							# Find root of trigonometric function
							# Find value of pi
							print(F'The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}')
							# Find root of polynomial
							print(F'The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}')
							# Find Square Root of 5
							print(F'The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}')
							# Exponential Roots
							print(F'The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}')




