


"""simple docstring"""





import copy
import os
from typing import Union

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


snake_case__						:   Dict			 = logging.get_logger(__name__)

snake_case__						:   List[str]			 = {
    '''BridgeTower/bridgetower-base''': '''https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.json''',
    '''BridgeTower/bridgetower-base-itm-mlm''': (
        '''https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/blob/main/config.json'''
    ),
}



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''bridgetower_vision_model'''






     def __init__(		self     :    Tuple    , UpperCamelCase_     :    List[str]=7_6_8    , UpperCamelCase_     :    Optional[Any]=1_2    , UpperCamelCase_     :    List[Any]=3    , UpperCamelCase_     :    Any=1_6    , UpperCamelCase_     :    Dict=2_8_8    , UpperCamelCase_     :    Tuple=1    , UpperCamelCase_     :    Any=1E-05    , UpperCamelCase_     :    str=False    , UpperCamelCase_     :    int=True    , UpperCamelCase_     :    int=False    , **UpperCamelCase_     :    Optional[int]    , ):
           super().__init__(**UpperCamelCase_ )
           lowerCAmelCase    :		Any				=      hidden_size
           lowerCAmelCase    :		Any				=      num_hidden_layers
           lowerCAmelCase    :		Union[str, Any]				=      num_channels
           lowerCAmelCase    :		Tuple				=      patch_size
           lowerCAmelCase    :		Any				=      image_size
           lowerCAmelCase    :		List[str]				=      initializer_factor
           lowerCAmelCase    :		List[Any]				=      layer_norm_eps
           lowerCAmelCase    :		List[str]				=      stop_gradient
           lowerCAmelCase    :		str				=      share_layernorm
           lowerCAmelCase    :		Tuple				=      remove_last_layer






     @classmethod
     def    lowerCamelCase__   (		cls     :    List[str]    , UpperCamelCase_     :    Union[str, os.PathLike]    , **UpperCamelCase_     :    Optional[Any] ):
           lowerCAmelCase,					lowerCAmelCase    :		Tuple				=      cls.get_config_dict(UpperCamelCase_    , **UpperCamelCase_ )

           if config_dict.get('''model_type''' ) == "bridgetower":
                 lowerCAmelCase    :		Union[str, Any]				=      config_dict['''text_config''']

           if "model_type" in config_dict and hasattr(cls    , '''model_type''' ) and config_dict["model_type"] != cls.model_type:
                 logger.warning(
                     F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
                     F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.''' )

           return cls.from_dict(UpperCamelCase_    , **UpperCamelCase_ )



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''bridgetower_text_model'''






     def __init__(		self     :    List[str]    , UpperCamelCase_     :    int=5_0_2_6_5    , UpperCamelCase_     :    int=7_6_8    , UpperCamelCase_     :    Union[str, Any]=1_2    , UpperCamelCase_     :    str=1_2    , UpperCamelCase_     :    Any=1    , UpperCamelCase_     :    str=3_0_7_2    , UpperCamelCase_     :    List[Any]="gelu"    , UpperCamelCase_     :    int=0.1    , UpperCamelCase_     :    Dict=0.1    , UpperCamelCase_     :    Dict=5_1_4    , UpperCamelCase_     :    Optional[Any]=1    , UpperCamelCase_     :    Tuple=1E-05    , UpperCamelCase_     :    Any=1    , UpperCamelCase_     :    List[Any]=0    , UpperCamelCase_     :    Optional[int]=2    , UpperCamelCase_     :    Optional[int]="absolute"    , UpperCamelCase_     :    List[Any]=True    , **UpperCamelCase_     :    int    , ):
           super().__init__(**UpperCamelCase_ )

           lowerCAmelCase    :		List[Any]				=      vocab_size
           lowerCAmelCase    :		Tuple				=      hidden_size
           lowerCAmelCase    :		Optional[int]				=      num_hidden_layers
           lowerCAmelCase    :		List[str]				=      num_attention_heads
           lowerCAmelCase    :		Any				=      hidden_act
           lowerCAmelCase    :		Optional[int]				=      initializer_factor
           lowerCAmelCase    :		List[Any]				=      intermediate_size
           lowerCAmelCase    :		int				=      hidden_dropout_prob
           lowerCAmelCase    :		List[str]				=      attention_probs_dropout_prob
           lowerCAmelCase    :		Optional[Any]				=      max_position_embeddings
           lowerCAmelCase    :		Dict				=      type_vocab_size
           lowerCAmelCase    :		List[str]				=      layer_norm_eps
           lowerCAmelCase    :		int				=      position_embedding_type
           lowerCAmelCase    :		Optional[int]				=      use_cache
           lowerCAmelCase    :		Union[str, Any]				=      pad_token_id
           lowerCAmelCase    :		int				=      bos_token_id
           lowerCAmelCase    :		List[Any]				=      eos_token_id






     @classmethod
     def    lowerCamelCase__   (		cls     :    Any    , UpperCamelCase_     :    Union[str, os.PathLike]    , **UpperCamelCase_     :    Optional[Any] ):
           lowerCAmelCase,					lowerCAmelCase    :		str				=      cls.get_config_dict(UpperCamelCase_    , **UpperCamelCase_ )

           if config_dict.get('''model_type''' ) == "bridgetower":
                 lowerCAmelCase    :		List[Any]				=      config_dict['''text_config''']

           if "model_type" in config_dict and hasattr(cls    , '''model_type''' ) and config_dict["model_type"] != cls.model_type:
                 logger.warning(
                     F'''You are using a model of type {config_dict["model_type"]} to instantiate a model of type '''
                     F'''{cls.model_type}. This is not supported for all configurations of models and can yield errors.''' )

           return cls.from_dict(UpperCamelCase_    , **UpperCamelCase_ )



class 						snake_case_(				a__	):
     __UpperCamelCase     =    '''bridgetower'''






     def __init__(		self     :    Union[str, Any]    , UpperCamelCase_     :    Tuple=True    , UpperCamelCase_     :    str="gelu"    , UpperCamelCase_     :    List[str]=7_6_8    , UpperCamelCase_     :    int=1    , UpperCamelCase_     :    Union[str, Any]=1E-05    , UpperCamelCase_     :    Any=False    , UpperCamelCase_     :    Dict="add"    , UpperCamelCase_     :    str=1_2    , UpperCamelCase_     :    Optional[Any]=6    , UpperCamelCase_     :    Any=False    , UpperCamelCase_     :    Dict=False    , UpperCamelCase_     :    Optional[Any]=None    , UpperCamelCase_     :    Optional[int]=None    , **UpperCamelCase_     :    Optional[int]    , ):
           # TODO: remove this once the Hub files are updated.
           lowerCAmelCase    :		str				=      kwargs.pop('''text_config_dict'''    , UpperCamelCase_ )
           lowerCAmelCase    :		Tuple				=      kwargs.pop('''vision_config_dict'''    , UpperCamelCase_ )

           super().__init__(**UpperCamelCase_ )
           lowerCAmelCase    :		Any				=      share_cross_modal_transformer_layers
           lowerCAmelCase    :		Dict				=      hidden_act
           lowerCAmelCase    :		List[Any]				=      hidden_size
           lowerCAmelCase    :		List[Any]				=      initializer_factor
           lowerCAmelCase    :		Optional[int]				=      layer_norm_eps
           lowerCAmelCase    :		Union[str, Any]				=      share_link_tower_layers
           lowerCAmelCase    :		Any				=      link_tower_type
           lowerCAmelCase    :		Optional[int]				=      num_attention_heads
           lowerCAmelCase    :		List[str]				=      num_hidden_layers
           lowerCAmelCase    :		Optional[int]				=      tie_word_embeddings
           lowerCAmelCase    :		Tuple				=      init_layernorm_from_vision_encoder

           if text_config is None:
                 lowerCAmelCase    :		Optional[Any]				=      {}
                 logger.info('''`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values.''' )

           if vision_config is None:
                 lowerCAmelCase    :		int				=      {}
                 logger.info('''`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values.''' )

           lowerCAmelCase    :		Dict				=      BridgeTowerTextConfig(**UpperCamelCase_ )
           lowerCAmelCase    :		int				=      BridgeTowerVisionConfig(**UpperCamelCase_ )






     @classmethod
     def    lowerCamelCase__   (		cls     :    List[Any]    , UpperCamelCase_     :    BridgeTowerTextConfig    , UpperCamelCase_     :    BridgeTowerVisionConfig    , **UpperCamelCase_     :    Optional[Any] ):
           return cls(text_config=text_config.to_dict()    , vision_config=vision_config.to_dict()    , **UpperCamelCase_ )






     def    lowerCamelCase__   (		self     :    int ):
           lowerCAmelCase    :		Union[str, Any]				=      copy.deepcopy(self.__dict__ )
           lowerCAmelCase    :		Union[str, Any]				=      self.text_config.to_dict()
           lowerCAmelCase    :		Optional[Any]				=      self.vision_config.to_dict()
           lowerCAmelCase    :		Optional[int]				=      self.__class__.model_type
           return output






"""simple docstring"""





def    _snake_case  (  _snake_case :	int	):

      if not isinstance(_snake_case       ,      _snake_case	):
            raise TypeError('''only integers accepted as input'''	)
      else:
            lowerCAmelCase    :		List[str]				=      str(abs(_snake_case	)	)
            lowerCAmelCase    :		Optional[Any]				=      [list(_snake_case	) for char in range(len(_snake_case	)	)]
            for index in range(len(_snake_case	)	):
                  num_transpositions[index].pop(_snake_case	)
            return max(
                int(''''''.join(list(_snake_case	)	)	) for transposition in num_transpositions	)


if __name__ == "__main__":
 __import__('''doctest''').testmod()


