




import warnings

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


__A						:							List[Any]							=  logging.get_logger(__name__)




class 			UpperCAmelCase_      (   A       ):




							'''simple docstring'''



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












from __future__ import annotations
def 					lowerCamelCase_    (    SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''
			create_state_space_tree(SCREAMING_SNAKE_CASE					,	[]					,	0					,	[0 for i in range(len(SCREAMING_SNAKE_CASE   )   )]   )
def 					lowerCamelCase_    (    SCREAMING_SNAKE_CASE					,	SCREAMING_SNAKE_CASE					,	SCREAMING_SNAKE_CASE					,	SCREAMING_SNAKE_CASE					,	):
			'''simple docstring'''

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

			for i in range(len(SCREAMING_SNAKE_CASE   )   ):
						if not index_used[i]:
									current_sequence.append(sequence[i]   )
									SCREAMING_SNAKE_CASE           =					True
									create_state_space_tree(SCREAMING_SNAKE_CASE					,	SCREAMING_SNAKE_CASE					,	index + 1					,	SCREAMING_SNAKE_CASE   )
									current_sequence.pop()
									SCREAMING_SNAKE_CASE           =					False
__A						:							list[int | str]							=  [3, 1, 2, 4]
generate_all_permutations(sequence)

__A						:							list[int | str]							=  ["A", "B", "C"]




generate_all_permutations(sequence_a)






