

"""simple docstring"""




SCREAMING_SNAKE_CASE_     :			Union[str, Any]	  =			frozenset(
    [
        '''prompt''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
        '''cross_attention_kwargs''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Any	  =			frozenset(['''prompt''', '''negative_prompt'''])

SCREAMING_SNAKE_CASE_     :			str	  =			frozenset([])

SCREAMING_SNAKE_CASE_     :			List[Any]	  =			frozenset(['''image'''])

SCREAMING_SNAKE_CASE_     :			Union[str, Any]	  =			frozenset(
    [
        '''image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			frozenset(['''image'''])

SCREAMING_SNAKE_CASE_     :			List[str]	  =			frozenset(
    [
        '''prompt''',
        '''image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Optional[Any]	  =			frozenset(['''prompt''', '''image''', '''negative_prompt'''])

SCREAMING_SNAKE_CASE_     :			List[Any]	  =			frozenset(
    [
        # Text guided image variation with an image mask
        '''prompt''',
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Union[str, Any]	  =			frozenset(['''prompt''', '''image''', '''mask_image''', '''negative_prompt'''])

SCREAMING_SNAKE_CASE_     :			Tuple	  =			frozenset(
    [
        # image variation with an image mask
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			frozenset(['''image''', '''mask_image'''])

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			frozenset(
    [
        '''example_image''',
        '''image''',
        '''mask_image''',
        '''height''',
        '''width''',
        '''guidance_scale''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Tuple	  =			frozenset(['''example_image''', '''image''', '''mask_image'''])

SCREAMING_SNAKE_CASE_     :			Tuple	  =			frozenset(['''class_labels'''])

SCREAMING_SNAKE_CASE_     :			List[Any]	  =			frozenset(['''class_labels'''])

SCREAMING_SNAKE_CASE_     :			Tuple	  =			frozenset(['''batch_size'''])

SCREAMING_SNAKE_CASE_     :			Dict	  =			frozenset([])

SCREAMING_SNAKE_CASE_     :			List[str]	  =			frozenset(['''batch_size'''])

SCREAMING_SNAKE_CASE_     :			Any	  =			frozenset([])

SCREAMING_SNAKE_CASE_     :			str	  =			frozenset(
    [
        '''prompt''',
        '''audio_length_in_s''',
        '''guidance_scale''',
        '''negative_prompt''',
        '''prompt_embeds''',
        '''negative_prompt_embeds''',
        '''cross_attention_kwargs''',
    ]
)

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			frozenset(['''prompt''', '''negative_prompt'''])
SCREAMING_SNAKE_CASE_     :			Tuple	  =			frozenset(['''input_tokens'''])

SCREAMING_SNAKE_CASE_     :			Optional[int]	  =			frozenset(['''input_tokens'''])







"""simple docstring"""




import copy

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


SCREAMING_SNAKE_CASE_     :			Dict	  =			logging.get_logger(__name__)


class 		_A       (			__a					):
      __a								=	'encoder-decoder'
      __a								=	True





      def __init__(  self    ,						**SCREAMING_SNAKE_CASE__		)   ->					Optional[int]:
         super().__init__(**SCREAMING_SNAKE_CASE__		)
         assert (
             "encoder" in kwargs and "decoder" in kwargs
         ), "Config has to be initialized with encoder and decoder config"
         lowerCamelCase__						=			kwargs.pop("encoder"		)
         lowerCamelCase__						=			encoder_config.pop("model_type"		)
         lowerCamelCase__						=			kwargs.pop("decoder"		)
         lowerCamelCase__						=			decoder_config.pop("model_type"		)

         from ..auto.configuration_auto import AutoConfig

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





      @classmethod
      def 					_lowerCamelCase  (  cls    ,						SCREAMING_SNAKE_CASE__    ,						SCREAMING_SNAKE_CASE__    ,						**SCREAMING_SNAKE_CASE__		)   ->					PretrainedConfig:
         logger.info("Set `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()    ,						**SCREAMING_SNAKE_CASE__		)





      def 					_lowerCamelCase  (  self		)   ->					int:
         lowerCamelCase__						=			copy.deepcopy(self.__dict__		)
         lowerCamelCase__						=			self.encoder.to_dict()
         lowerCamelCase__						=			self.decoder.to_dict()
         lowerCamelCase__						=			self.__class__.model_type
         return output




