

import copy
import os
from typing import Union

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


lowerCAmelCase     :   Any						     =  logging.get_logger(__name__)

lowerCAmelCase     :   Tuple						     =  {
    '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  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      int       =  '''bridgetower_vision_model'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=3 ,					_SCREAMING_SNAKE_CASE=16 ,					_SCREAMING_SNAKE_CASE=288 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=1e-05 ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE=False ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(**_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     hidden_size
        SCREAMING_SNAKE_CASE_				:  str           =     num_hidden_layers
        SCREAMING_SNAKE_CASE_				:  Tuple           =     num_channels
        SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     patch_size
        SCREAMING_SNAKE_CASE_				:  Dict           =     image_size
        SCREAMING_SNAKE_CASE_				:  List[Any]           =     initializer_factor
        SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     layer_norm_eps
        SCREAMING_SNAKE_CASE_				:  Tuple           =     stop_gradient
        SCREAMING_SNAKE_CASE_				:  Any           =     share_layernorm
        SCREAMING_SNAKE_CASE_				:  str           =     remove_last_layer



  @classmethod
  def  UpperCAmelCase    (				cls ,					_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  List[Any]           =     cls.get_config_dict(_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

        if config_dict.get('model_type'					) == "bridgetower":
              SCREAMING_SNAKE_CASE_				:  str           =     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(_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Optional[Any]       =  '''bridgetower_text_model'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=5_0265 ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=3072 ,					_SCREAMING_SNAKE_CASE="gelu" ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=0.1 ,					_SCREAMING_SNAKE_CASE=514 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=1e-05 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=0 ,					_SCREAMING_SNAKE_CASE=2 ,					_SCREAMING_SNAKE_CASE="absolute" ,					_SCREAMING_SNAKE_CASE=True ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        super().__init__(**_SCREAMING_SNAKE_CASE					)

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



  @classmethod
  def  UpperCAmelCase    (				cls ,					_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_       ,						SCREAMING_SNAKE_CASE_				:  int           =     cls.get_config_dict(_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

        if config_dict.get('model_type'					) == "bridgetower":
              SCREAMING_SNAKE_CASE_				:  Dict           =     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(_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					)

class  _A		(  __magic_name__):
  SCREAMING_SNAKE_CASE    :      Tuple       =  '''bridgetower'''

  def __init__(				self ,					_SCREAMING_SNAKE_CASE=True ,					_SCREAMING_SNAKE_CASE="gelu" ,					_SCREAMING_SNAKE_CASE=768 ,					_SCREAMING_SNAKE_CASE=1 ,					_SCREAMING_SNAKE_CASE=1e-05 ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE="add" ,					_SCREAMING_SNAKE_CASE=12 ,					_SCREAMING_SNAKE_CASE=6 ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=False ,					_SCREAMING_SNAKE_CASE=None ,					_SCREAMING_SNAKE_CASE=None ,					**_SCREAMING_SNAKE_CASE ,					):





        """simple docstring"""







        SCREAMING_SNAKE_CASE_				:  Dict           =     kwargs.pop('text_config_dict' ,					_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  str           =     kwargs.pop('vision_config_dict' ,					_SCREAMING_SNAKE_CASE					)

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

        if text_config is None:
              SCREAMING_SNAKE_CASE_				:  int           =     {}
              logger.info('`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values.'					)

        if vision_config is None:
              SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     {}
              logger.info('`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values.'					)

        SCREAMING_SNAKE_CASE_				:  Any           =     BridgeTowerTextConfig(**_SCREAMING_SNAKE_CASE					)
        SCREAMING_SNAKE_CASE_				:  Dict           =     BridgeTowerVisionConfig(**_SCREAMING_SNAKE_CASE					)

  @classmethod
  def  UpperCAmelCase    (				cls ,					_SCREAMING_SNAKE_CASE ,					_SCREAMING_SNAKE_CASE ,					**_SCREAMING_SNAKE_CASE					):





        """simple docstring"""







        return cls(text_config=text_config.to_dict() ,					vision_config=vision_config.to_dict() ,					**_SCREAMING_SNAKE_CASE					)



  def  UpperCAmelCase    (				self					):





        """simple docstring"""







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









lowerCAmelCase     :   Tuple						     =  {
    'A': '.-', 'B': '-...', 'C': '-.-.', 'D': '-..', 'E': '.', 'F': '..-.', 'G': '--.',
    'H': '....', 'I': '..', 'J': '.---', 'K': '-.-', 'L': '.-..', 'M': '--', 'N': '-.',
    'O': '---', 'P': '.--.', 'Q': '--.-', 'R': '.-.', 'S': '...', 'T': '-', 'U': '..-',
    'V': '...-', 'W': '.--', 'X': '-..-', 'Y': '-.--', 'Z': '--..', '1': '.----',
    '2': '..---', '3': '...--', '4': '....-', '5': '.....', '6': '-....', '7': '--...',
    '8': '---..', '9': '----.', '0': '-----', '&': '.-...', '@': '.--.-.',
    ':': '---...', ',': '--..--', '.': '.-.-.-', '\'': '.----.', '"': '.-..-.',
    '?': '..--..', '/': '-..-.', '=': '-...-', '+': '.-.-.', '-': '-....-',
    '(': '-.--.', ')': '-.--.-', '!': '-.-.--', ' ': '/'
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
lowerCAmelCase     :   Optional[int]						     =  {value: key for key, value in MORSE_CODE_DICT.items()}

def    A_  (							a  ):

      """simple docstring"""



      return " ".join(MORSE_CODE_DICT[char] for char in message.upper()  )

def    A_  (							a  ):

      """simple docstring"""



      return "".join(REVERSE_DICT[char] for char in message.split()  )

def    A_  (							):

      """simple docstring"""



      SCREAMING_SNAKE_CASE_				:  Tuple           =     'Morse code here!'
      print(a  )
      SCREAMING_SNAKE_CASE_				:  Optional[Any]           =     encrypt(a  )
      print(a  )
      SCREAMING_SNAKE_CASE_				:  Union[str, Any]           =     decrypt(a  )
      print(a  )


if __name__ == "__main__":
    main()






