




from __future__ import annotations

from typing import Any







def SCREAMING_SNAKE_CASE				(       lowercase_						)   ->       None:



       """simple docstring"""

       create_state_space_tree(lowercase_ ,				[] ,				0						)







def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_ ,				lowercase_						)   ->       None:



       """simple docstring"""

       if index == len(lowercase_						):
              print(lowercase_						)
              return

       create_state_space_tree(lowercase_ ,				lowercase_ ,				index + 1						)
       current_subsequence.append(sequence[index]						)
       create_state_space_tree(lowercase_ ,				lowercase_ ,				index + 1						)
       current_subsequence.pop()


if __name__ == "__main__":
  _lowerCamelCase	:		list[Any]							       =   [3, 1, 2, 4]
  generate_all_subsequences(seq)

  seq.clear()
  seq.extend(["""A""", """B""", """C"""])
  generate_all_subsequences(seq)






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCAmelCase__      		= logging.get_logger(__name__)







class      lowerCAmelCase__       (				a):




     '''simple docstring'''


     def __init__(						self ,						*__lowerCamelCase ,						**__lowerCamelCase)			->				None:
            warnings.warn(
                "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use BeitImageProcessor instead." ,						__lowerCamelCase ,						)
            super().__init__(*__lowerCamelCase ,						**__lowerCamelCase)
