

"""simple docstring"""





from __future__ import annotations

def     __SCREAMING_SNAKE_CASE    ( A_					):
	create_state_space_tree(A_		,	[]		,	0		,	[0 for i in range(len(A_					)					)]					)

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_		,	A_		,	A_		,	):

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

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

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





generate_all_permutations(sequence_a)







"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


__UpperCamelCase    : List[str]				 =						logging.get_logger(__name__)







class 							SCREAMING_SNAKE_CASE   (						a_			):






					"""simple docstring"""



					def __init__(			self     :							Any  ,*lowercase_     :							Dict  ,**lowercase_     :							List[str]						):
						warnings.warn(
						    '''The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
						    ''' Please use ImageGPTImageProcessor instead.'''  ,lowercase_  ,)
						super().__init__(*lowercase_  ,**lowercase_						)




