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


lowercase        =  logging.get_logger(__name__)

lowercase        =  {
    "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       __A(				__lowerCAmelCase       ):
     SCREAMING_SNAKE_CASE			    =    "markuplm"

     def __init__(	self					:     List[Any]   ,					__UpperCamelCase					:     Optional[int]=3_0_5_2_2   ,					__UpperCamelCase					:     Dict=7_6_8   ,					__UpperCamelCase					:     List[str]=1_2   ,					__UpperCamelCase					:     List[Any]=1_2   ,					__UpperCamelCase					:     Optional[Any]=3_0_7_2   ,					__UpperCamelCase					:     int="gelu"   ,					__UpperCamelCase					:     Union[str, Any]=0.1   ,					__UpperCamelCase					:     Optional[int]=0.1   ,					__UpperCamelCase					:     Tuple=5_1_2   ,					__UpperCamelCase					:     List[str]=2   ,					__UpperCamelCase					:     Union[str, Any]=0.02   ,					__UpperCamelCase					:     Optional[Any]=1E-12   ,					__UpperCamelCase					:     List[str]=0   ,					__UpperCamelCase					:     Tuple=0   ,					__UpperCamelCase					:     List[str]=2   ,					__UpperCamelCase					:     List[Any]=2_5_6   ,					__UpperCamelCase					:     List[str]=1_0_2_4   ,					__UpperCamelCase					:     Optional[int]=2_1_6   ,					__UpperCamelCase					:     Any=1_0_0_1   ,					__UpperCamelCase					:     int=3_2   ,					__UpperCamelCase					:     Tuple=5_0   ,					__UpperCamelCase					:     str="absolute"   ,					__UpperCamelCase					:     List[str]=True   ,					__UpperCamelCase					:     List[Any]=None   ,					**__UpperCamelCase					:     List[str]   ,					):
            super().__init__(
                pad_token_id=lowerCamelCase__   ,					bos_token_id=lowerCamelCase__   ,					eos_token_id=lowerCamelCase__   ,					**lowerCamelCase__   ,					)
            lowerCamelCase_							  =					vocab_size
            lowerCamelCase_							  =					hidden_size
            lowerCamelCase_							  =					num_hidden_layers
            lowerCamelCase_							  =					num_attention_heads
            lowerCamelCase_							  =					hidden_act
            lowerCamelCase_							  =					intermediate_size
            lowerCamelCase_							  =					hidden_dropout_prob
            lowerCamelCase_							  =					attention_probs_dropout_prob
            lowerCamelCase_							  =					max_position_embeddings
            lowerCamelCase_							  =					type_vocab_size
            lowerCamelCase_							  =					initializer_range
            lowerCamelCase_							  =					layer_norm_eps
            lowerCamelCase_							  =					position_embedding_type
            lowerCamelCase_							  =					use_cache
            lowerCamelCase_							  =					classifier_dropout
            # additional properties
            lowerCamelCase_							  =					max_depth
            lowerCamelCase_							  =					max_xpath_tag_unit_embeddings
            lowerCamelCase_							  =					max_xpath_subs_unit_embeddings
            lowerCamelCase_							  =					tag_pad_id
            lowerCamelCase_							  =					subs_pad_id
            lowerCamelCase_							  =					xpath_unit_hidden_size







def      __lowerCAmelCase						(							UpperCAmelCase__				:      int			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float(moles / volume       ) * nfactor       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((moles * 0.0_8_2_1 * temperature) / (volume)       )       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((moles * 0.0_8_2_1 * temperature) / (pressure)       )       )



def      __lowerCAmelCase						(							UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float			,				UpperCAmelCase__				:      float       )  ->    float:
							return round(float((pressure * volume) / (0.0_8_2_1 * moles)       )       )


if __name__ == "__main__":
		import doctest

		doctest.testmod()





