
from __future__ import annotations


def 							a__					(							snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		[]
  create_all_state(1       ,			SCREAMING_SNAKE_CASE_       ,			SCREAMING_SNAKE_CASE_       ,			[]       ,			SCREAMING_SNAKE_CASE_							)
  return result


def 							a__					(							snake_case       ,			snake_case       ,			snake_case       ,			snake_case       ,			snake_case       ,			):





  """simple docstring"""
  if level == 0:
    total_list.append(current_list[:]							)
    return

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


def 							a__					(							snake_case							):





  """simple docstring"""
  for i in total_list:
    print(*SCREAMING_SNAKE_CASE_							)


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

'''simple docstring'''


import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


__snake_case						  =		logging.get_logger(__name__)





class       _a    (		__a      ):


  """simple docstring"""

  def __init__(		self      :       int   ,				*lowercase_      :       Tuple   ,				**lowercase_      :       List[Any]      ):







    '''simple docstring'''


    warnings.warn(
        """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
        """ Please use PoolFormerImageProcessor instead."""   ,				lowercase_   ,				)
    super().__init__(*lowercase_   ,				**lowercase_      )

