




import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


SCREAMING_SNAKE_CASE_    :       Optional[Any]       =							logging.get_logger(__name__)







class 		__UpperCAmelCase(		lowercase__			):





     """simple docstring"""



     def __init__(   self			:							Tuple    ,					*A			:							List[Any]    ,					**A			:							Any     )      ->      None:






         """simple docstring"""
         warnings.warn(
             """The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
             """ Please use MaskFormerImageProcessor instead."""    ,					A    ,					)
         super().__init__(*A    ,					**A     )












from __future__ import annotations

import random







class 		__UpperCAmelCase:





     """simple docstring"""



     __UpperCAmelCase						:			Optional[int]							=     6

     def __init__(   self			:							int     )      ->      Optional[Any]:






         """simple docstring"""
         a__  			=							list(range(1    ,					Dice.NUM_SIDES + 1     )     )






     def 					__SCREAMING_SNAKE_CASE		(   self			:							Union[str, Any]     )      ->      List[str]:






         """simple docstring"""
         return random.choice(self.sides     )






def 							__lowerCAmelCase			(UpperCAmelCase_ ,     UpperCAmelCase_ = 2		):
    a__  			=							[Dice() for i in range(UpperCAmelCase_		)]
    a__  			=							[0] * (len(UpperCAmelCase_		) * Dice.NUM_SIDES + 1)
    for _ in range(UpperCAmelCase_		):
        count_of_sum[sum(dice.roll() for dice in dices		)] += 1
    a__  			=							[round((count * 100) / num_throws ,     2		) for count in count_of_sum]
    return probability[num_dice:]  # remove probability of sums that never appear


if __name__ == "__main__":
 import doctest

 doctest.testmod()






