
from ..utils import DummyObject, requires_backends


class 						__magic_name__				(  metaclass=UpperCAmelCase__      ):
		_lowerCAmelCase						=		['torch', 'transformers', 'k_diffusion']





		def __init__(							self      :		Optional[int]  ,					*lowerCamelCase__      :		Union[str, Any]  ,					**lowerCamelCase__      :		Optional[int]			):
							requires_backends(self  ,					['''torch''', '''transformers''', '''k_diffusion''']			)





		@classmethod
		def  _A							(							cls      :		Union[str, Any]  ,					*lowerCamelCase__      :		List[Any]  ,					**lowerCamelCase__      :		Optional[Any]			):
							requires_backends(cls  ,					['''torch''', '''transformers''', '''k_diffusion''']			)





		@classmethod
		def  _A							(							cls      :		Optional[Any]  ,					*lowerCamelCase__      :		List[str]  ,					**lowerCamelCase__      :		str			):
							requires_backends(cls  ,					['''torch''', '''transformers''', '''k_diffusion''']			)


import warnings

from ...utils import logging
from .image_processing_conditional_detr import ConditionalDetrImageProcessor


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


class 						__magic_name__				(  snake_case      ):





		def __init__(							self      :		str  ,					*lowerCamelCase__      :		Dict  ,					**lowerCamelCase__      :		int			):
							warnings.warn(
							    '''The class ConditionalDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
							    ''' Please use ConditionalDetrImageProcessor instead.'''  ,					lowerCamelCase__  ,					)
							super().__init__(*lowerCamelCase__  ,					**lowerCamelCase__			)
