


import copy

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


__UpperCamelCase       :       Optional[Any]						       =				logging.get_logger(__name__)

class       __magic_name__	(     __lowerCAmelCase):
     A:		Union[str, Any]				=      "encoder-decoder"
     A:		List[str]				=      True


     def __init__(      self							:     Any							,	**lowerCamelCase__							:     Optional[int]			)  ->      Dict:





      '''simple docstring'''






      super().__init__(**lowerCamelCase__			)
      assert (
          "encoder" in kwargs and "decoder" in kwargs
      ), "Config has to be initialized with encoder and decoder config"
      UpperCamelCase__					:    str          =   kwargs.pop('''encoder'''			)
      UpperCamelCase__					:    Optional[int]          =   encoder_config.pop('''model_type'''			)
      UpperCamelCase__					:    Dict          =   kwargs.pop('''decoder'''			)
      UpperCamelCase__					:    Optional[Any]          =   decoder_config.pop('''model_type'''			)

      from ..auto.configuration_auto import AutoConfig

      UpperCamelCase__					:    Any          =   AutoConfig.for_model(lowerCamelCase__							,	**lowerCamelCase__			)
      UpperCamelCase__					:    Optional[int]          =   AutoConfig.for_model(lowerCamelCase__							,	**lowerCamelCase__			)
      UpperCamelCase__					:    Dict          =   True


     @classmethod
     def      UpperCAmelCase__	(      cls							:     Optional[int]							,	lowerCamelCase__							:     PretrainedConfig							,	lowerCamelCase__							:     PretrainedConfig							,	**lowerCamelCase__							:     Union[str, Any]			)  ->      PretrainedConfig:





      '''simple docstring'''






      logger.info('''Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'''			)
      UpperCamelCase__					:    Any          =   True
      UpperCamelCase__					:    Any          =   True

      return cls(encoder=encoder_config.to_dict()							,	decoder=decoder_config.to_dict()							,	**lowerCamelCase__			)


     def      UpperCAmelCase__	(      self							:     List[Any]			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   copy.deepcopy(self.__dict__			)
      UpperCamelCase__					:    Dict          =   self.encoder.to_dict()
      UpperCamelCase__					:    int          =   self.decoder.to_dict()
      UpperCamelCase__					:    Optional[int]          =   self.__class__.model_type
      return output






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


__UpperCamelCase       :       Optional[int]						       =				logging.get_logger(__name__)

__UpperCamelCase       :       Optional[int]						       =				{
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}

class       __magic_name__	(     __lowerCAmelCase):
     A:		Optional[Any]			=      "markuplm"


     def __init__(      self							:     List[Any]							,	lowerCamelCase__							:     Optional[int]=30522							,	lowerCamelCase__							:     Dict=768							,	lowerCamelCase__							:     List[str]=12							,	lowerCamelCase__							:     List[Any]=12							,	lowerCamelCase__							:     Optional[Any]=3072							,	lowerCamelCase__							:     int="gelu"							,	lowerCamelCase__							:     Union[str, Any]=0.1							,	lowerCamelCase__							:     Optional[int]=0.1							,	lowerCamelCase__							:     Tuple=512							,	lowerCamelCase__							:     List[str]=2							,	lowerCamelCase__							:     Union[str, Any]=0.02							,	lowerCamelCase__							:     Optional[Any]=1E-1_2							,	lowerCamelCase__							:     List[str]=0							,	lowerCamelCase__							:     Tuple=0							,	lowerCamelCase__							:     List[str]=2							,	lowerCamelCase__							:     List[Any]=256							,	lowerCamelCase__							:     List[str]=1024							,	lowerCamelCase__							:     Optional[int]=216							,	lowerCamelCase__							:     Any=1001							,	lowerCamelCase__							:     int=32							,	lowerCamelCase__							:     Tuple=50							,	lowerCamelCase__							:     str="absolute"							,	lowerCamelCase__							:     List[str]=True							,	lowerCamelCase__							:     List[Any]=None							,	**lowerCamelCase__							:     List[str]							,	)  ->      Union[str, Any]:





      '''simple docstring'''






      super().__init__(
          pad_token_id=lowerCamelCase__							,	bos_token_id=lowerCamelCase__							,	eos_token_id=lowerCamelCase__							,	**lowerCamelCase__							,	)
      UpperCamelCase__					:    Optional[int]          =   vocab_size
      UpperCamelCase__					:    List[Any]          =   hidden_size
      UpperCamelCase__					:    Any          =   num_hidden_layers
      UpperCamelCase__					:    Tuple          =   num_attention_heads
      UpperCamelCase__					:    Any          =   hidden_act
      UpperCamelCase__					:    Dict          =   intermediate_size
      UpperCamelCase__					:    Optional[Any]          =   hidden_dropout_prob
      UpperCamelCase__					:    Optional[int]          =   attention_probs_dropout_prob
      UpperCamelCase__					:    Tuple          =   max_position_embeddings
      UpperCamelCase__					:    List[str]          =   type_vocab_size
      UpperCamelCase__					:    Any          =   initializer_range
      UpperCamelCase__					:    Dict          =   layer_norm_eps
      UpperCamelCase__					:    Any          =   position_embedding_type
      UpperCamelCase__					:    Optional[Any]          =   use_cache
      UpperCamelCase__					:    int          =   classifier_dropout
      # additional properties
      UpperCamelCase__					:    int          =   max_depth
      UpperCamelCase__					:    Optional[Any]          =   max_xpath_tag_unit_embeddings
      UpperCamelCase__					:    List[Any]          =   max_xpath_subs_unit_embeddings
      UpperCamelCase__					:    List[Any]          =   tag_pad_id
      UpperCamelCase__					:    Optional[int]          =   subs_pad_id
      UpperCamelCase__					:    Optional[Any]          =   xpath_unit_hidden_size


