code: 
  
  
  """simple docstring"""
  
  
  
  
  import random
  
  
  
  
  
  class __snake_case		:
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     def __init__(		self							:List[str]				,  UpperCamelCase__							:float				,  UpperCamelCase__							:float       ):
            _a          =				x
            _a          =				y
  
  
  
  
     def SCREAMING_SNAKE_CASE_      (		self							:Optional[Any]       ):
            return (self.x**2 + self.y**2) <= 1
  
  
  
  
     @classmethod
     def SCREAMING_SNAKE_CASE_      (		cls							:int       ):
            return cls(x=random.random()				,  y=random.random()       )
  
  
  
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if number_of_simulations < 1:
                raise ValueError("At least one simulation is necessary to estimate PI."					)
  
         _a          =				0
         for _ in range(a					):
                _a          =				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					=						"""Please enter the desired number of Monte Carlo simulations: """
     __SCREAMING_SNAKE_CASE					=						estimate_pi(int(input(prompt).strip()))
     print(f'An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}')
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vit import ViTImageProcessor
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     def __init__(		self							:Tuple				,  *UpperCamelCase__							:Tuple				,  **UpperCamelCase__							:Any       ):
            warnings.warn(
                "The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use ViTImageProcessor instead."				,  UpperCamelCase__				,  )
            super().__init__(*UpperCamelCase__				,  **UpperCamelCase__       )
  