



"""simple docstring"""





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




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

		'''simple docstring'''


		_UpperCAmelCase							 =		symbols(A       )
		_UpperCAmelCase							 =		lambdify(A     ,				A       )
		_UpperCAmelCase							 =		lambdify(A     ,				diff(A     ,				A       )       )

		_UpperCAmelCase							 =		starting_point

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

				_UpperCAmelCase							 =		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"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase  							=					{
    '''configuration_clipseg''': [
        '''CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPSegConfig''',
        '''CLIPSegTextConfig''',
        '''CLIPSegVisionConfig''',
    ],
    '''processing_clipseg''': ['''CLIPSegProcessor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowercase  							=					[
					    '''CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''CLIPSegModel''',
					    '''CLIPSegPreTrainedModel''',
					    '''CLIPSegTextModel''',
					    '''CLIPSegVisionModel''',
					    '''CLIPSegForImageSegmentation''',
					]

if TYPE_CHECKING:
					from .configuration_clipseg import (
					    CLIPSEG_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    CLIPSegConfig,
					    CLIPSegTextConfig,
					    CLIPSegVisionConfig,
					)
					from .processing_clipseg import CLIPSegProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_clipseg import (
										    CLIPSEG_PRETRAINED_MODEL_ARCHIVE_LIST,
										    CLIPSegForImageSegmentation,
										    CLIPSegModel,
										    CLIPSegPreTrainedModel,
										    CLIPSegTextModel,
										    CLIPSegVisionModel,
										)

else:
					import sys

					lowercase  							=					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


