



'''simple docstring'''

# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


_A				:    Any     						=re.compile(r'''^(?P<major>\d+)''' r'''\.(?P<minor>\d+)''' r'''\.(?P<patch>\d+)$''')



@total_ordering
@dataclass
class 		lowerCamelCase__      :




					'''simple docstring'''



					A_						    =						42
					A_						    =						None
					A_						    =						None
					A_						    =						None
					A_						    =						None




					def 						__UpperCAmelCase     (  self				:	Optional[Any]					)  ->       Dict:



						'''simple docstring'''





						_lowercase  ,    _lowercase  ,    _lowercase					:       Optional[int]       =		_str_to_version_tuple(self.version_str					)




					def __repr__(  self				:	Optional[int]					)  ->       int:



						'''simple docstring'''





						return F'''{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'''




					@property
					def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       Union[str, Any]:



						'''simple docstring'''





						return self.major, self.minor, self.patch




					def 						__UpperCAmelCase     (  self				:	Dict     ,  UpperCamelCase_				:	Dict					)  ->       List[Any]:



						'''simple docstring'''





						if isinstance(UpperCamelCase_     ,  UpperCamelCase_					):
							return Version(UpperCamelCase_					)
						elif isinstance(UpperCamelCase_     ,  UpperCamelCase_					):
							return other
						raise TypeError(F'''{other} (type {type(UpperCamelCase_					)}) cannot be compared to version.'''					)




					def __eq__(  self				:	int     ,  UpperCamelCase_				:	Union[str, Any]					)  ->       Optional[int]:



						'''simple docstring'''





						try:
							_lowercase					:       List[str]       =		self._validate_operand(UpperCamelCase_					)
						except (TypeError, ValueError):
							return False
						else:
							return self.tuple == other.tuple




					def __lt__(  self				:	int     ,  UpperCamelCase_				:	List[Any]					)  ->       Tuple:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		self._validate_operand(UpperCamelCase_					)
						return self.tuple < other.tuple




					def __hash__(  self				:	List[Any]					)  ->       List[str]:



						'''simple docstring'''





						return hash(_version_tuple_to_str(self.tuple					)					)




					@classmethod
					def 						__UpperCAmelCase     (  cls				:	Any     ,  UpperCamelCase_				:	List[str]					)  ->       List[Any]:



						'''simple docstring'''





						_lowercase					:       Dict       =		{f.name for f in dataclasses.fields(cls					)}
						return cls(**{k: v for k, v in dic.items() if k in field_names}					)




					def 						__UpperCAmelCase     (  self				:	Dict					)  ->       str:



						'''simple docstring'''





						return self.version_str







def 						__UpperCamelCase				(							_lowercase					) ->			Any:
	_lowercase					:       int       =		_VERSION_REG.match(_lowercase					)
	if not res:
		raise ValueError(f'''Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'''					)
	return tuple(int(_lowercase					) for v in [res.group('major'					), res.group('minor'					), res.group('patch'					)]					)







def 						__UpperCamelCase				(							_lowercase					) ->			int:
	return ".".join(str(_lowercase					) for v in version_tuple					)





'''simple docstring'''

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


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

_A				:    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 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					A_						    =						"""markuplm"""




					def __init__(  self				:	int     ,  UpperCamelCase_				:	Optional[Any]=3_0522     ,  UpperCamelCase_				:	Optional[Any]=768     ,  UpperCamelCase_				:	Tuple=12     ,  UpperCamelCase_				:	Union[str, Any]=12     ,  UpperCamelCase_				:	Tuple=3072     ,  UpperCamelCase_				:	Union[str, Any]="gelu"     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	List[Any]=0.1     ,  UpperCamelCase_				:	Dict=512     ,  UpperCamelCase_				:	Optional[int]=2     ,  UpperCamelCase_				:	Any=0.02     ,  UpperCamelCase_				:	Optional[Any]=1E-12     ,  UpperCamelCase_				:	List[str]=0     ,  UpperCamelCase_				:	Optional[int]=0     ,  UpperCamelCase_				:	Tuple=2     ,  UpperCamelCase_				:	str=256     ,  UpperCamelCase_				:	Optional[Any]=1024     ,  UpperCamelCase_				:	Union[str, Any]=216     ,  UpperCamelCase_				:	int=1001     ,  UpperCamelCase_				:	int=32     ,  UpperCamelCase_				:	int=50     ,  UpperCamelCase_				:	str="absolute"     ,  UpperCamelCase_				:	Union[str, Any]=True     ,  UpperCamelCase_				:	Optional[int]=None     ,  **UpperCamelCase_				:	Any     ,  )  ->       Optional[int]:



						'''simple docstring'''





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