






from __future__ import annotations





def 						__UpperCAmelCase			(     a_							,     a_):
							snake_case_				=							[]
							create_all_state(1							,     a_							,     a_							,     []							,     a_)
							return result





def 						__UpperCAmelCase			(     a_							,     a_							,     a_							,     a_							,     a_							,     ):
							if level == 0:
														total_list.append(current_list[:])
														return

							for i in range(a_							,     total_number - level + 2):
														current_list.append(a_)
														create_all_state(i + 1							,     a_							,     level - 1							,     a_							,     a_)
														current_list.pop()





def 						__UpperCAmelCase			(     a_):
							for i in total_list:
														print(*a_)


if __name__ == "__main__":
	lowercase  							=					4
	lowercase  							=					2
	lowercase  							=					generate_all_combinations(n, k)
	print_all_state(total_list)













import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase  							=					logging.get_logger(__name__)




class  UpperCamelCase_      (			snake_case_				):



	'''simple docstring'''




	def __init__(       self       ,			*a       ,			**a					)       ->    None:
								warnings.warn(
								    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
								    ' Please use PerceiverImageProcessor instead.'       ,			a       ,			)
								super().__init__(*a       ,			**a					)





