


def 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		lowercase__            =      int(SCREAMING_SNAKE_CASE     )
		if n_element < 1:
				lowercase__            =      ValueError('''a should be a positive number'''     )
				raise my_error

		lowercase__            =      [1]
		lowercase__     ,		lowercase__     ,		lowercase__            =      (0, 0, 0)
		lowercase__            =      1
		while index < n_element:
				while hamming_list[i] * 2 <= hamming_list[-1]:
						i += 1
				while hamming_list[j] * 3 <= hamming_list[-1]:
						j += 1
				while hamming_list[k] * 5 <= hamming_list[-1]:
						k += 1
				hamming_list.append(
				    min(hamming_list[i] * 2						,				hamming_list[j] * 3						,				hamming_list[k] * 5     )     )
				index += 1
		return hamming_list


if __name__ == "__main__":
			lowerCAmelCase       =							input('Enter the last number (nth term) of the Hamming Number Series: ')
			print('Formula of Hamming Number Series => 2^i * 3^j * 5^k')
			lowerCAmelCase       =							hamming(int(n))
			print('-----------------------------------------------------')
			print(f"""The list with nth numbers is: {hamming_numbers}""")
			print('-----------------------------------------------------')










"""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_)


