
from __future__ import annotations






def 						__magic_name__			(   __a      :	int	,		__a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    []
     create_all_state(1	,		__a	,		__a	,		[]	,		__a						)
     return result






def 						__magic_name__			(   __a      :	int	,		__a      :	int	,		__a      :	int	,		__a      :	list[int]	,		__a      :	list[list[int]]	,		):



     '''simple docstring'''




     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 						__magic_name__			(   __a      :	list[list[int]]						):



     '''simple docstring'''




     for i in total_list:
          print(*__a						)


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







import warnings

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


lowerCamelCase_						     =					logging.get_logger(__name__)




class      __A(    __lowerCamelCase			):

  """simple docstring"""







  def __init__(self	,      *SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						):
       warnings.warn(
           """The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
           """ Please use SegformerImageProcessor instead."""	,      SCREAMING_SNAKE_CASE_	,      )
       super().__init__(*SCREAMING_SNAKE_CASE_	,      **SCREAMING_SNAKE_CASE_						)





