

"""simple docstring"""





from math import factorial

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_						,     A_ ):






	if successes > trials:
		raise ValueError('''successes must be lower or equal to trials''' )
	if trials < 0 or successes < 0:
		raise ValueError('''the function is defined for non-negative integers''' )
	if not isinstance(__a						,     __a ) or not isinstance(__a						,     __a ):
		raise ValueError('''the function is defined for non-negative integers''' )
	if not 0 < prob < 1:
		raise ValueError('''prob has to be in range of 1 - 0''' )
	lowerCAmelCase__	:						Optional[int]  				=	(prob**successes) * ((1 - prob) ** (trials - successes))
	# Calculate the binomial coefficient: n! / k!(n-k)!
	lowerCAmelCase__	:						Optional[int]  				=	float(factorial(__a ) )
	coefficient /= factorial(__a ) * factorial(trials - successes )
	return probability * coefficient


if __name__ == "__main__":
							from doctest import testmod

							testmod()
							print('''Probability of 2 successes out of 4 trails''')
							print('''with probability of 0.75 is:''', end=''' ''')
							print(binomial_distribution(2, 4, 0.7_5))












"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


UpperCAmelCase_   : Any   			= logging.get_logger(__name__)




class 							lowerCAmelCase__				(			UpperCAmelCase__ ):






      '''simple docstring'''

      def __init__(						self     :  Union[str, Any]						,	*lowercase_     :  List[str]						,	**lowercase_     :  List[str]):




          '''simple docstring'''


          warnings.warn(
              '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
              ''' Please use SegformerImageProcessor instead.'''						,	lowercase_						,	)
          super().__init__(*lowercase_						,	**lowercase_)


