code: 
  
  import copy
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto.configuration_auto import AutoConfig
  from ..clip.configuration_clip import CLIPVisionConfig
  
  
  __A   :     Optional[Any]      =			logging.get_logger(__name__)
  
  
  
  
  
  
  class    __A				(							lowerCAmelCase ):
      lowerCAmelCase_							:		int						=							"vision-text-dual-encoder"
      lowerCAmelCase_							:		Dict						=							True
  
  
  
  
  
  
      def __init__(	self			:    Dict    ,				UpperCAmelCase_			:    Dict=512    ,				UpperCAmelCase_			:    int=2.65_92    ,				**UpperCAmelCase_			:    Tuple    ):
          super().__init__(**UpperCAmelCase_    )
  
          if "vision_config" not in kwargs:
              raise ValueError('`vision_config` can not be `None`.'    )
  
          if "text_config" not in kwargs:
              raise ValueError('`text_config` can not be `None`.'    )
  
          lowerCAmelCase				:			int    			=      kwargs.pop('vision_config'    )
          lowerCAmelCase				:			int    			=      kwargs.pop('text_config'    )
  
          lowerCAmelCase				:			Tuple    			=      vision_config.pop('model_type'    )
          lowerCAmelCase				:			Dict    			=      text_config.pop('model_type'    )
  
          if vision_model_type == "clip":
              lowerCAmelCase				:			Optional[int]    			=      AutoConfig.for_model(UpperCAmelCase_    ,				**UpperCAmelCase_    ).vision_config
          elif vision_model_type == "clip_vision_model":
              lowerCAmelCase				:			Tuple    			=      CLIPVisionConfig(**UpperCAmelCase_    )
          else:
              lowerCAmelCase				:			Union[str, Any]    			=      AutoConfig.for_model(UpperCAmelCase_    ,				**UpperCAmelCase_    )
  
          lowerCAmelCase				:			Optional[int]    			=      AutoConfig.for_model(UpperCAmelCase_    ,				**UpperCAmelCase_    )
  
          lowerCAmelCase				:			int    			=      projection_dim
          lowerCAmelCase				:			List[str]    			=      logit_scale_init_value
  
  
  
  
  
  
      @classmethod
      def 	lowercase__ (	cls			:    Tuple    ,				UpperCAmelCase_			:    PretrainedConfig    ,				UpperCAmelCase_			:    PretrainedConfig    ,				**UpperCAmelCase_			:    List[Any]    ):
          return cls(vision_config=vision_config.to_dict()    ,				text_config=text_config.to_dict()    ,				**UpperCAmelCase_    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Tuple    ):
          lowerCAmelCase				:			Optional[Any]    			=      copy.deepcopy(self.__dict__    )
          lowerCAmelCase				:			Optional[int]    			=      self.vision_config.to_dict()
          lowerCAmelCase				:			Optional[int]    			=      self.text_config.to_dict()
          lowerCAmelCase				:			int    			=      self.__class__.model_type
          return output
  
  
  
  
  
  
style_context: 
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available
  
  
  __A   :     Dict      =			{}
  
  try:
   if not is_sentencepiece_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[Any]      =			['''BarthezTokenizer''']
  
  try:
   if not is_tokenizers_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   __A   :     List[str]      =			['''BarthezTokenizerFast''']
  
  
  if TYPE_CHECKING:
   try:
    if not is_sentencepiece_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez import BarthezTokenizer
  
   try:
    if not is_tokenizers_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .tokenization_barthez_fast import BarthezTokenizerFast
  
  else:
   import sys
  
   __A   :     Tuple      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
  
  
  