




def  UpperCAmelCase_							(				__UpperCAmelCase						:     int      ,      __UpperCAmelCase						:     int							) ->			str:
      if not isinstance(__UpperCAmelCase      ,      __UpperCAmelCase							):
            raise ValueError('iterations must be defined as integers'							)
      if not isinstance(__UpperCAmelCase      ,      __UpperCAmelCase							) 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'							)

      SCREAMING_SNAKE_CASE_     						=      ''
      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(__UpperCAmelCase							)

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


if __name__ == "__main__":
   import doctest

   doctest.testmod()





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowerCamelCase__			:       Dict         =							logging.get_logger(__name__)





class 	lowerCamelCase_							(				_SCREAMING_SNAKE_CASE ):


 '''simple docstring'''







 def __init__(							self  :		List[Any]    ,    *_lowerCAmelCase  :		List[str]    ,    **_lowerCAmelCase  :		Optional[int]						):
       warnings.warn(
           'The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use LayoutLMv2ImageProcessor instead.'    ,    _lowerCAmelCase    ,    )
       super().__init__(*_lowerCAmelCase    ,    **_lowerCAmelCase						)