



"""simple docstring"""
import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


__SCREAMING_SNAKE_CASE     :  Any										=					logging.get_logger(__name__)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				Union[str, Any]        =       'speech-encoder-decoder'
					lowercase__      :				int        =       True

					def __init__(			self ,				**lowerCamelCase__      ):
									super().__init__(**lowerCamelCase__      )
									if "encoder" not in kwargs or "decoder" not in kwargs:
													raise ValueError(
													    F"""A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"""
													    F""" `decoder` sub-configurations are passed, but only {kwargs}"""      )

									_lowerCamelCase					     = kwargs.pop('''encoder'''      )
									_lowerCamelCase					     = encoder_config.pop('''model_type'''      )
									_lowerCamelCase					     = kwargs.pop('''decoder'''      )
									_lowerCamelCase					     = decoder_config.pop('''model_type'''      )

									_lowerCamelCase					     = AutoConfig.for_model(lowerCamelCase__ ,				**lowerCamelCase__      )
									_lowerCamelCase					     = AutoConfig.for_model(lowerCamelCase__ ,				**lowerCamelCase__      )
									_lowerCamelCase					     = True

					@classmethod
					def 	snake_case__					(			cls ,				lowerCamelCase__ ,				lowerCamelCase__ ,				**lowerCamelCase__      ):
									logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''      )
									_lowerCamelCase					     = True
									_lowerCamelCase					     = True

									return cls(encoder=encoder_config.to_dict() ,				decoder=decoder_config.to_dict() ,				**lowerCamelCase__      )





					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = copy.deepcopy(self.__dict__      )
									_lowerCamelCase					     = self.encoder.to_dict()
									_lowerCamelCase					     = self.decoder.to_dict()
									_lowerCamelCase					     = self.__class__.model_type
									return output






import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


lowercase__      :			Union[str, Any]           =					logging.get_logger(__name__)




class 			a__       (					UpperCamelCase__      ):







     def __init__(	self  ,		*A  ,		**A )  ->    None:



          '''simple docstring'''



          warnings.warn(
              "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
              " Please use MobileNetV2ImageProcessor instead."  ,		A  ,		)
          super().__init__(*A  ,		**A )

