
import random


class 		__magic_name__   :





		def __init__(							self    :	List[str]						,  lowerCamelCase__    :	float						,  lowerCamelCase__    :	float				):
							lowerCAmelCase		:					Optional[int]  	=     x
							lowerCAmelCase		:					Tuple  	=     y





		def       _A							(							self    :	Optional[Any]				):
							return (self.x**2 + self.y**2) <= 1





		@classmethod
		def       _A							(							cls    :	int				):
							return cls(x=random.random()						,  y=random.random()				)



def     UpperCAmelCase__    (       __magic_name__						:     Union[str, Any]  ):


					'''simple docstring'''

					if number_of_simulations < 1:
										raise ValueError('''At least one simulation is necessary to estimate PI.'''  )

					lowerCAmelCase		:					List[Any]  	=     0
					for _ in range(__magic_name__  ):
										lowerCAmelCase		:					Any  	=     Point.random_unit_square()

										if random_point.is_in_unit_circle():
															number_in_unit_circle += 1

					return 4 * number_in_unit_circle / number_of_simulations


if __name__ == "__main__":
		# import doctest

		# doctest.testmod()
		from math import pi

		__SCREAMING_SNAKE_CASE			:   Optional[int]         =     'Please enter the desired number of Monte Carlo simulations: '
		__SCREAMING_SNAKE_CASE			:   str         =     estimate_pi(int(input(prompt).strip()))
		print(f"""An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}""")


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__SCREAMING_SNAKE_CASE			:   List[str]         =     {'configuration_vilt': ['VILT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViltConfig']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   Any         =     ['ViltFeatureExtractor']
		__SCREAMING_SNAKE_CASE			:   Optional[int]         =     ['ViltImageProcessor']
		__SCREAMING_SNAKE_CASE			:   str         =     ['ViltProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__SCREAMING_SNAKE_CASE			:   Dict         =     [
		    'VILT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'ViltForImageAndTextRetrieval',
		    'ViltForImagesAndTextClassification',
		    'ViltForTokenClassification',
		    'ViltForMaskedLM',
		    'ViltForQuestionAnswering',
		    'ViltLayer',
		    'ViltModel',
		    'ViltPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_vilt import VILT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViltConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_vilt import ViltFeatureExtractor
				from .image_processing_vilt import ViltImageProcessor
				from .processing_vilt import ViltProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vilt import (
				    VILT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    ViltForImageAndTextRetrieval,
				    ViltForImagesAndTextClassification,
				    ViltForMaskedLM,
				    ViltForQuestionAnswering,
				    ViltForTokenClassification,
				    ViltLayer,
				    ViltModel,
				    ViltPreTrainedModel,
				)


else:
		import sys

		__SCREAMING_SNAKE_CASE			:   Optional[Any]         =     _LazyModule(__name__, globals()['__file__'], _import_structure)
