





"""simple docstring"""




import random

class 					_UpperCAmelCase    :



      '''simple docstring'''

      def __init__(	self   , snake_case_   , snake_case_    ):

        """simple docstring"""

        A_    :			Dict									=    x
        A_    :			List[str]									=    y

      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return (self.x**2 + self.y**2) <= 1

      @classmethod
      def    lowerCamelCase_     (	cls    ):

        """simple docstring"""

        return cls(x=random.random()   , y=random.random()    )





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





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

  A_    :			List[Any]									=    0
  for _ in range(lowerCamelCase__   ):
    A_    :			Union[str, 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

   lowerCamelCase_	:		List[str]         =   'Please enter the desired number of Monte Carlo simulations: '
   lowerCamelCase_	:		Any         =   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 List

import datasets
from datasets.tasks import ImageClassification

from ..folder_based_builder import folder_based_builder


_SCREAMING_SNAKE_CASE     =     datasets.utils.logging.get_logger(__name__)







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilderConfig     ):
    UpperCAmelCase_      :							bool    			=				None
    UpperCAmelCase_      :							bool    			=				None







class        UpperCAmelCase_					(				folder_based_builder.FolderBasedBuilder     ):
    UpperCAmelCase_      :							Any    			=				datasets.Image()
    UpperCAmelCase_      :							List[Any]    			=				'image'
    UpperCAmelCase_      :							int    			=				ImageFolderConfig
    UpperCAmelCase_      :							List[str]  # definition at the bottom of the script
    UpperCAmelCase_      :							Dict    			=				ImageClassification(image_column='image'  ,  label_column='label'     )

_SCREAMING_SNAKE_CASE     =     [
    """.blp""",
    """.bmp""",
    """.dib""",
    """.bufr""",
    """.cur""",
    """.pcx""",
    """.dcx""",
    """.dds""",
    """.ps""",
    """.eps""",
    """.fit""",
    """.fits""",
    """.fli""",
    """.flc""",
    """.ftc""",
    """.ftu""",
    """.gbr""",
    """.gif""",
    """.grib""",
    """.h5""",
    """.hdf""",
    """.png""",
    """.apng""",
    """.jp2""",
    """.j2k""",
    """.jpc""",
    """.jpf""",
    """.jpx""",
    """.j2c""",
    """.icns""",
    """.ico""",
    """.im""",
    """.iim""",
    """.tif""",
    """.tiff""",
    """.jfif""",
    """.jpe""",
    """.jpg""",
    """.jpeg""",
    """.mpg""",
    """.mpeg""",
    """.msp""",
    """.pcd""",
    """.pxr""",
    """.pbm""",
    """.pgm""",
    """.ppm""",
    """.pnm""",
    """.psd""",
    """.bw""",
    """.rgb""",
    """.rgba""",
    """.sgi""",
    """.ras""",
    """.tga""",
    """.icb""",
    """.vda""",
    """.vst""",
    """.webp""",
    """.wmf""",
    """.emf""",
    """.xbm""",
    """.xpm""",
]
_SCREAMING_SNAKE_CASE     =     IMAGE_EXTENSIONS

