






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCamelCase			:					Tuple         =	logging.get_logger(__name__)



class 							_UpperCamelCase			(UpperCamelCase__			):


      def __init__(	self					,						*__UpperCamelCase					,						**__UpperCamelCase	)->	None:
           warnings.warn(
               "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
               " use BeitImageProcessor instead."					,						__UpperCamelCase					,						)
           super().__init__(*__UpperCamelCase					,						**__UpperCamelCase	)







def       __lowerCAmelCase      (						__snake_case					, __snake_case       ):
     if not isinstance(__snake_case					, __snake_case       ):
          raise ValueError("iterations must be defined as integers"       )
     if not isinstance(__snake_case					, __snake_case       ) or not number >= 1:
          raise ValueError(
              "starting number must be\n                         and integer and be more than 0"       )
     if not iterations >= 1:
          raise ValueError("Iterations must be done more than 0 times to play FizzBuzz"       )

     __lowerCAmelCase								=					""
     while number <= iterations:
          if number % 3 == 0:
               out += "Fizz"
          if number % 5 == 0:
               out += "Buzz"
          if 0 not in (number % 3, number % 5):
               out += str(__snake_case       )

          # print(out)
          number += 1
          out += " "
     return out


if __name__ == "__main__":
 import doctest

 doctest.testmod()






