
from __future__ import annotations

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

from sympy import diff






def 						__magic_name__			(   __a      :	str	,		__a      :	float | Decimal	,		__a      :	float = 10**-10						):



     '''simple docstring'''




     UpperCamelCase__				=    a
     while True:
          UpperCamelCase__				=    Decimal(__a						) - (
              Decimal(eval(__a						)						) / Decimal(eval(str(diff(__a						)						)						)						)  # noqa: S307
          )
          # This number dictates the accuracy of the answer
          if abs(eval(__a						)						) < precision:  # noqa: S307
               return float(__a						)


# 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)}')







import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


lowerCamelCase_						     =					logging.get_logger(__name__)




class      __A(    __lowerCamelCase			):

  """simple docstring"""







  def __init__(self	,      *SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""	,      SCREAMING_SNAKE_CASE_	,      )
       super().__init__(*SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)





