

"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__UpperCamelCase						:   int							   =	logging.get_logger(__name__)







class        SCREAMING_SNAKE_CASE      (	a_ ):






					"""simple docstring"""



					def __init__( self    :       Dict     ,*lowercase_    :       List[str]     ,**lowercase_    :       Dict	):
						warnings.warn(
						    '''The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
						    ''' Please use MobileNetV1ImageProcessor instead.'''     ,lowercase_     ,)
						super().__init__(*lowercase_     ,**lowercase_	)







"""simple docstring"""





class        SCREAMING_SNAKE_CASE      :






					"""simple docstring"""



					def __init__( self    :       List[Any]	):
						lowerCAmelCase__			:		List[str]						       =			[0, 1]







					def  __lowerCAmelCase				( self    :       str     ,lowercase_    :       int	):
						if (difference := index - (len(self.sequence	) - 2)) >= 1:
							for _ in range(lowercase_	):
								self.sequence.append(self.sequence[-1] + self.sequence[-2]	)
						return self.sequence[:index]

def 						__SCREAMING_SNAKE_CASE						(   ):
	print(
	    '''Fibonacci Series Using Dynamic Programming\n'''		,  '''Enter the index of the Fibonacci number you want to calculate '''		,  '''in the prompt below. (To exit enter exit or Ctrl-C)\n'''		,  sep=''''''		,  )
	lowerCAmelCase__			:		Optional[int]						       =			Fibonacci()

	while True:
		lowerCAmelCase__			:		str						       =			input('''>> '''				)
		if prompt in {"exit", "quit"}:
			break

		try:
			lowerCAmelCase__			:		int						       =			int(A_				)
		except ValueError:
			print('''Enter a number or \'exit\''''				)
			continue

		print(fibonacci.get(A_				)				)


if __name__ == "__main__":
							main()




