





def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				if not isinstance(__lowerCAmelCase	,			__lowerCAmelCase ):
								raise ValueError('iterations must be defined as integers' )
				if not isinstance(__lowerCAmelCase	,			__lowerCAmelCase ) 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' )

				_snake_case :			Tuple  						=   ''
				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(__lowerCAmelCase )

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


if __name__ == "__main__":
		import doctest

		doctest.testmod()













import warnings

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


lowercase_		:				str				=						logging.get_logger(__name__)


class 			lowercase				(							a_     ):



						"""simple docstring"""

						def __init__(    self			:		int ,				*lowerCamelCase_			:		str ,				**lowerCamelCase_			:		Tuple					):





										'''simple docstring'''







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






