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


_lowerCamelCase   :				List[str]     			=						logging.get_logger(__name__)

_lowerCamelCase   :				Union[str, Any]     			=						{
    '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   lowercase      (       lowerCamelCase__       ):
							lowercase__  :    Optional[Any]									=							"""markuplm"""




							def __init__(  self				:   List[Any]		,							_UpperCamelCase				:   Dict=30_522		,							_UpperCamelCase				:   Optional[Any]=768		,							_UpperCamelCase				:   int=12		,							_UpperCamelCase				:   int=12		,							_UpperCamelCase				:   Optional[int]=3_072		,							_UpperCamelCase				:   Any="gelu"		,							_UpperCamelCase				:   Optional[int]=0.1		,							_UpperCamelCase				:   Any=0.1		,							_UpperCamelCase				:   Optional[Any]=512		,							_UpperCamelCase				:   List[str]=2		,							_UpperCamelCase				:   List[str]=0.0_2		,							_UpperCamelCase				:   Tuple=1e-12		,							_UpperCamelCase				:   Dict=0		,							_UpperCamelCase				:   Union[str, Any]=0		,							_UpperCamelCase				:   int=2		,							_UpperCamelCase				:   List[str]=256		,							_UpperCamelCase				:   Dict=1_024		,							_UpperCamelCase				:   Optional[int]=216		,							_UpperCamelCase				:   int=1_001		,							_UpperCamelCase				:   List[Any]=32		,							_UpperCamelCase				:   Tuple=50		,							_UpperCamelCase				:   Any="absolute"		,							_UpperCamelCase				:   Optional[int]=True		,							_UpperCamelCase				:   Union[str, Any]=None		,							**_UpperCamelCase				:   Dict		,							)   ->			List[Any]:



												'''simple docstring'''

												super().__init__(
												    pad_token_id=__lowerCamelCase		,							bos_token_id=__lowerCamelCase		,							eos_token_id=__lowerCamelCase		,							**__lowerCamelCase		,							)
												SCREAMING_SNAKE_CASE           =    vocab_size
												SCREAMING_SNAKE_CASE           =    hidden_size
												SCREAMING_SNAKE_CASE           =    num_hidden_layers
												SCREAMING_SNAKE_CASE           =    num_attention_heads
												SCREAMING_SNAKE_CASE           =    hidden_act
												SCREAMING_SNAKE_CASE           =    intermediate_size
												SCREAMING_SNAKE_CASE           =    hidden_dropout_prob
												SCREAMING_SNAKE_CASE           =    attention_probs_dropout_prob
												SCREAMING_SNAKE_CASE           =    max_position_embeddings
												SCREAMING_SNAKE_CASE           =    type_vocab_size
												SCREAMING_SNAKE_CASE           =    initializer_range
												SCREAMING_SNAKE_CASE           =    layer_norm_eps
												SCREAMING_SNAKE_CASE           =    position_embedding_type
												SCREAMING_SNAKE_CASE           =    use_cache
												SCREAMING_SNAKE_CASE           =    classifier_dropout
												# additional properties
												SCREAMING_SNAKE_CASE           =    max_depth
												SCREAMING_SNAKE_CASE           =    max_xpath_tag_unit_embeddings
												SCREAMING_SNAKE_CASE           =    max_xpath_subs_unit_embeddings
												SCREAMING_SNAKE_CASE           =    tag_pad_id
												SCREAMING_SNAKE_CASE           =    subs_pad_id
												SCREAMING_SNAKE_CASE           =    xpath_unit_hidden_size





def 		__lowerCamelCase							(UpperCAmelCase__       :							str ,	UpperCAmelCase__       :							str = " "					):
					SCREAMING_SNAKE_CASE           =    []

					SCREAMING_SNAKE_CASE           =    0
					for index, char in enumerate(UpperCAmelCase__					):
										if char == separator:
															split_words.append(string[last_index:index]					)
															SCREAMING_SNAKE_CASE           =    index + 1
										elif index + 1 == len(UpperCAmelCase__					):
															split_words.append(string[last_index : index + 1]					)
					return split_words


if __name__ == "__main__":
							from doctest import testmod

							testmod()




