code: 
  '''simple docstring'''
  
  
  
  
  
  import copy
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  A           =   logging.get_logger(__name__)
  
  A           =   {}
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 'fsmt_decoder'
  
    def __init__(self  : str	, lowerCAmelCase_  : Dict=0	, lowerCAmelCase_  : int=0    )   ->       List[str]:
          super().__init__()
          snake_case_						       =							vocab_size
          snake_case_						       =							bos_token_id
  
  
  
  class  lowerCAmelCase__   (       UpperCamelCase       ):
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
    _UpperCamelCase						= 'fsmt'
    _UpperCamelCase						= {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}
  
    def __init__(self  : Optional[int]	, lowerCAmelCase_  : str=["en", "de"]	, lowerCAmelCase_  : Optional[Any]=4_20_24	, lowerCAmelCase_  : List[str]=4_20_24	, lowerCAmelCase_  : Optional[int]="relu"	, lowerCAmelCase_  : List[str]=10_24	, lowerCAmelCase_  : str=2_00	, lowerCAmelCase_  : List[str]=10_24	, lowerCAmelCase_  : List[Any]=40_96	, lowerCAmelCase_  : List[str]=12	, lowerCAmelCase_  : Optional[int]=16	, lowerCAmelCase_  : Any=0.0	, lowerCAmelCase_  : List[Any]=40_96	, lowerCAmelCase_  : Dict=12	, lowerCAmelCase_  : Optional[Any]=16	, lowerCAmelCase_  : Union[str, Any]=0.0	, lowerCAmelCase_  : Union[str, Any]=0.0	, lowerCAmelCase_  : Optional[Any]=0.1	, lowerCAmelCase_  : Union[str, Any]=0.0	, lowerCAmelCase_  : Union[str, Any]=0.02	, lowerCAmelCase_  : Optional[int]=2	, lowerCAmelCase_  : int=True	, lowerCAmelCase_  : str=True	, lowerCAmelCase_  : Tuple=False	, lowerCAmelCase_  : Dict=5	, lowerCAmelCase_  : str=1.0	, lowerCAmelCase_  : Tuple=False	, lowerCAmelCase_  : str=True	, lowerCAmelCase_  : Optional[int]=1	, lowerCAmelCase_  : Optional[Any]=0	, lowerCAmelCase_  : List[str]=2	, lowerCAmelCase_  : Dict=2	, **lowerCAmelCase_  : Union[str, Any]	, )   ->       Union[str, Any]:
          snake_case_						       =							langs
          snake_case_						       =							src_vocab_size
          snake_case_						       =							tgt_vocab_size
          snake_case_						       =							d_model  # encoder_embed_dim and decoder_embed_dim
  
          snake_case_						       =							encoder_ffn_dim
          snake_case_						       =							snake_case_						       =							encoder_layers
          snake_case_						       =							encoder_attention_heads
          snake_case_						       =							encoder_layerdrop
          snake_case_						       =							decoder_layerdrop
          snake_case_						       =							decoder_ffn_dim
          snake_case_						       =							decoder_layers
          snake_case_						       =							decoder_attention_heads
          snake_case_						       =							max_position_embeddings
          snake_case_						       =							init_std  # Normal(0, this parameter)
          snake_case_						       =							activation_function
  
          snake_case_						       =							DecoderConfig(vocab_size=lowerCAmelCase_	, bos_token_id=lowerCAmelCase_    )
          if "decoder" in common_kwargs:
                del common_kwargs["decoder"]
  
          snake_case_						       =							scale_embedding  # scale factor will be sqrt(d_model) if True
  
          # 3 Types of Dropout
          snake_case_						       =							attention_dropout
          snake_case_						       =							activation_dropout
          snake_case_						       =							dropout
  
          snake_case_						       =							use_cache
          super().__init__(
              pad_token_id=lowerCAmelCase_	, bos_token_id=lowerCAmelCase_	, eos_token_id=lowerCAmelCase_	, decoder_start_token_id=lowerCAmelCase_	, is_encoder_decoder=lowerCAmelCase_	, tie_word_embeddings=lowerCAmelCase_	, forced_eos_token_id=lowerCAmelCase_	, max_length=lowerCAmelCase_	, num_beams=lowerCAmelCase_	, length_penalty=lowerCAmelCase_	, early_stopping=lowerCAmelCase_	, **lowerCAmelCase_	, )
  
  
    def 		_lowerCamelCase	(self  : int    )   ->       str:
          snake_case_						       =							copy.deepcopy(self.__dict__    )
          snake_case_						       =							self.decoder.to_dict()
          snake_case_						       =							self.__class__.model_type
          return output
  
  
style_context: 
  '''simple docstring'''
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  A           =   {
      "configuration_deta": ["DETA_PRETRAINED_CONFIG_ARCHIVE_MAP", "DetaConfig"],
  }
  
  try:
       if not is_vision_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       A           =   ["DetaImageProcessor"]
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       A           =   [
           "DETA_PRETRAINED_MODEL_ARCHIVE_LIST",
           "DetaForObjectDetection",
           "DetaModel",
           "DetaPreTrainedModel",
       ]
  
  
  if TYPE_CHECKING:
       from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
       try:
            if not is_vision_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .image_processing_deta import DetaImageProcessor
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_deta import (
                DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
                DetaForObjectDetection,
                DetaModel,
                DetaPreTrainedModel,
            )
  
  else:
       import sys
  
       A           =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  