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




def 				a						(							snake_case__:					str						,   snake_case__:					complex						,   snake_case__:					str = "x"						,   snake_case__:					float = 10**-10						,   snake_case__:					int = 1						,   ):


				'''simple docstring'''
				lowercase_       =					symbols(snake_case__					)
				lowercase_       =					lambdify(snake_case__						,   snake_case__					)
				lowercase_       =					lambdify(snake_case__						,   diff(snake_case__						,   snake_case__					)					)

				lowercase_       =					starting_point

				while True:
								if diff_function(snake_case__					) != 0:
												lowercase_       =					prev_guess - multiplicity * func(snake_case__					) / diff_function(
												    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

								lowercase_       =					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', 1_0, precision=0.005)}",
						)

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






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version('>=', '4.25.0')):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel




