






"""simple docstring"""

import random

class     A_				:







				def __init__(				self				:    Optional[Any]    ,     __lowerCamelCase				:    float    ,     __lowerCamelCase				:    float						)					->       None:
										__magic_name__      =  x
										__magic_name__      =  y







				def      _snake_case       (				self				:    Union[str, Any]						)					->       bool:
										return (self.x**2 + self.y**2) <= 1







				@classmethod
				def      _snake_case       (				cls				:    Optional[int]						)					->       Dict:
										return cls(x=random.random()    ,     y=random.random()						)






def _lowerCAmelCase						(	__lowerCamelCase:int ):

						'''simple docstring'''






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

						__magic_name__      =  0
						for _ in range(__lowerCamelCase ):
												__magic_name__      =  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

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











"""simple docstring"""

import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


lowercase           =							logging.get_logger(__name__)

class     A_				(   snake_case_	):







				def __init__(				self				:    str    ,     *__lowerCamelCase				:    List[Any]    ,     **__lowerCamelCase				:    List[str]						)					->       None:
										warnings.warn(
										    "The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ConditionalDetrImageProcessor instead."    ,     __lowerCamelCase    ,     )
										super().__init__(*__lowerCamelCase    ,     **__lowerCamelCase						)



