




from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403







def 	_a      (						SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				complex      ,      SCREAMING_SNAKE_CASE_							:				str = "x"      ,      SCREAMING_SNAKE_CASE_							:				float = 10**-10      ,      SCREAMING_SNAKE_CASE_							:				int = 1      ,      ):
					__lowerCAmelCase				   =       symbols(SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       lambdify(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       lambdify(SCREAMING_SNAKE_CASE_      ,      diff(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )     )

					__lowerCAmelCase				   =       starting_point

					while True:
										if diff_function(SCREAMING_SNAKE_CASE_     ) != 0:
															__lowerCAmelCase				   =       prev_guess - multiplicity * func(SCREAMING_SNAKE_CASE_     ) / diff_function(
															    SCREAMING_SNAKE_CASE_     )
										else:
															raise ZeroDivisionError("Could not find root"     ) from None

										# Precision is checked by comparing the difference of consecutive guesses
										if abs(next_guess - prev_guess     ) < precision:
															return next_guess

										__lowerCAmelCase				   =       next_guess


# 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
					# Find fourth Root of 5
					print(f'''The root of x**4 - 5 = 0 is {newton_raphson("x**4 -5", 0.4 +5j)}''')

					# Find value of e
					print(
					    """The root of log(y) - 1 = 0 is """,
					    f'''{newton_raphson("log(y) - 1", 2, variable="y")}''',
					)

					# Exponential Roots
					print(
					    """The root of exp(x) - 1 = 0 is""",
					    f'''{newton_raphson("exp(x) - 1", 10, precision=0.005)}''',
					)

					# Find root of cos(x)
					print(f'''The root of cos(x) = 0 is {newton_raphson("cos(x)", 0)}''')





'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


__lowercase          =  logging.get_logger(__name__)






class 				a__(					lowerCAmelCase__	):


			'''simple docstring'''






			def __init__(   self       ,    *__lowerCAmelCase       ,    **__lowerCAmelCase):




					"""simple docstring"""


					warnings.warn(
					    """The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
					    """ Please use DeformableDetrImageProcessor instead."""       ,    __lowerCAmelCase       ,    )
					super().__init__(*__lowerCAmelCase       ,    **__lowerCAmelCase)




