

"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A							=  logging.get_logger(__name__)

_A							=  {
    """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       lowerCamelCase	(       lowerCAmelCase__   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  'markuplm'



  def __init__(self							,       _lowerCamelCase=30522							,       _lowerCamelCase=768							,       _lowerCamelCase=12							,       _lowerCamelCase=12							,       _lowerCamelCase=3072							,       _lowerCamelCase="gelu"							,       _lowerCamelCase=0.1							,       _lowerCamelCase=0.1							,       _lowerCamelCase=512							,       _lowerCamelCase=2							,       _lowerCamelCase=0.02							,       _lowerCamelCase=1e-12							,       _lowerCamelCase=0							,       _lowerCamelCase=0							,       _lowerCamelCase=2							,       _lowerCamelCase=256							,       _lowerCamelCase=1024							,       _lowerCamelCase=216							,       _lowerCamelCase=1001							,       _lowerCamelCase=32							,       _lowerCamelCase=50							,       _lowerCamelCase="absolute"							,       _lowerCamelCase=True							,       _lowerCamelCase=None							,       **_lowerCamelCase							,       ):


        """simple docstring"""

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




"""simple docstring"""
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase    )	-> str:
      if a < 0 or b < 0:
            raise ValueError("""the value of both inputs must be positive"""    )

      UpperCAmelCase__			:							Dict							=    str(bin(lowerCAmelCase    )    )[2:]  # remove the leading "0b"
      UpperCAmelCase__			:							Any							=    str(bin(lowerCAmelCase    )    )[2:]  # remove the leading "0b"

      UpperCAmelCase__			:							Optional[Any]							=    max(len(lowerCAmelCase    )			,	len(lowerCAmelCase    )    )

      return "0b" + "".join(
          str(int(char_a != char_b    )    )
          for char_a, char_b in zip(a_binary.zfill(lowerCAmelCase    )			,	b_binary.zfill(lowerCAmelCase    )    )    )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

