

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_							:					Tuple		 =   logging.get_logger(__name__)






class      lowerCamelCase_      (	_lowercase	):
	_lowercase		:   Optional[int]     					=				'''encoder-decoder'''
	_lowercase		:   str     					=				True




	def __init__(     self						:     Union[str, Any]					,      **__A						:     Optional[Any]							):
		super().__init__(**__A							)
		assert (
		    "encoder" in kwargs and "decoder" in kwargs
		), "Config has to be initialized with encoder and decoder config"
		__A :			List[Any]		    =			kwargs.pop("""encoder"""							)
		__A :			int		    =			encoder_config.pop("""model_type"""							)
		__A :			int		    =			kwargs.pop("""decoder"""							)
		__A :			Tuple		    =			decoder_config.pop("""model_type"""							)

		from ..auto.configuration_auto import AutoConfig

		__A :			Union[str, Any]		    =			AutoConfig.for_model(__A					,      **__A							)
		__A :			Optional[Any]		    =			AutoConfig.for_model(__A					,      **__A							)
		__A :			List[Any]		    =			True




	@classmethod
	def        lowerCAmelCase_       (     cls						:     Optional[int]					,      __A						:     PretrainedConfig					,      __A						:     PretrainedConfig					,      **__A						:     Dict							):
		logger.info("""Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""							)
		__A :			Tuple		    =			True
		__A :			List[Any]		    =			True

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




	def        lowerCAmelCase_       (     self						:     Optional[int]							):
		__A :			str		    =			copy.deepcopy(self.__dict__							)
		__A :			Any		    =			self.encoder.to_dict()
		__A :			Optional[Any]		    =			self.decoder.to_dict()
		__A :			Union[str, Any]		    =			self.__class__.model_type
		return output








import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    '''The `inpainting.py` script is outdated. Please use directly `from diffusers import'''
    ''' StableDiffusionInpaintPipeline` instead.'''
)





