
from ...processing_utils import ProcessorMixin





class     lowerCamelCase      (       __lowerCamelCase					):
	UpperCamelCase_  :					Any    		=	['image_processor', 'feature_extractor']
	UpperCamelCase_  :					Union[str, Any]    		=	'TvltImageProcessor'
	UpperCamelCase_  :					Tuple    		=	'TvltFeatureExtractor'







	def __init__(     self      :Union[str, Any]   ,     lowercase      :Optional[int]   ,     lowercase      :Optional[int]			)		->      str:







				"""simple docstring"""






				super().__init__(image_processor=lowercase   ,     feature_extractor=lowercase			)

				SCREAMING_SNAKE_CASE     						= image_processor
				SCREAMING_SNAKE_CASE     						= feature_extractor







	def __call__(     self      :Dict   ,     lowercase      :List[str]=None   ,     lowercase      :Optional[int]=None   ,     lowercase      :List[str]=None   ,     lowercase      :List[str]=None   ,     lowercase      :str=False   ,     lowercase      :Any=False   ,     *lowercase      :str   ,     **lowercase      :Optional[int]   ,     )		->      Tuple:







				"""simple docstring"""






				if images is None and audio is None:
							raise ValueError('''You need to specify either an `images` or `audio` input to process.'''			)

				SCREAMING_SNAKE_CASE     						= None
				if images is not None:
							SCREAMING_SNAKE_CASE     						= self.image_processor(lowercase   ,     mask_pixel=lowercase   ,     *lowercase   ,     **lowercase			)
				if images_mixed is not None:
							SCREAMING_SNAKE_CASE     						= self.image_processor(lowercase   ,     is_mixed=lowercase   ,     *lowercase   ,     **lowercase			)
				if audio is not None:
							SCREAMING_SNAKE_CASE     						= self.feature_extractor(
							    lowercase   ,     *lowercase   ,     sampling_rate=lowercase   ,     mask_audio=lowercase   ,     **lowercase			)

				SCREAMING_SNAKE_CASE     						= {}
				if audio is not None:
							output_dict.update(lowercase			)
				if images is not None:
							output_dict.update(lowercase			)
				if images_mixed_dict is not None:
							output_dict.update(lowercase			)
				return output_dict







	@property
	def  snake_case__     (     self      :List[Any]			)		->      int:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= self.image_processor.model_input_names
				SCREAMING_SNAKE_CASE     						= self.feature_extractor.model_input_names
				return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names			)			)

import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


__lowerCAmelCase					   =       logging.get_logger(__name__)





class     lowerCamelCase      (       __lowerCamelCase					):







	def __init__(     self      :List[Any]   ,     *lowercase      :List[str]   ,     **lowercase      :List[Any]			)		->      None:







				"""simple docstring"""






				warnings.warn(
				    '''The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use YolosImageProcessor instead.'''   ,     lowercase   ,     )
				super().__init__(*lowercase   ,     **lowercase			)