

'''simple docstring'''





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


UpperCamelCase_							=					logging.get_logger(__name__)

UpperCamelCase_							=					{
    """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 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						'markuplm'







				def __init__(					self    :		Tuple		,				UpperCAmelCase__    :		str=30522		,				UpperCAmelCase__    :		Optional[Any]=768		,				UpperCAmelCase__    :		Optional[int]=12		,				UpperCAmelCase__    :		Union[str, Any]=12		,				UpperCAmelCase__    :		Dict=3072		,				UpperCAmelCase__    :		Tuple="gelu"		,				UpperCAmelCase__    :		str=0.1		,				UpperCAmelCase__    :		Dict=0.1		,				UpperCAmelCase__    :		Optional[Any]=512		,				UpperCAmelCase__    :		Any=2		,				UpperCAmelCase__    :		int=0.02		,				UpperCAmelCase__    :		Optional[int]=1E-12		,				UpperCAmelCase__    :		Tuple=0		,				UpperCAmelCase__    :		Union[str, Any]=0		,				UpperCAmelCase__    :		Dict=2		,				UpperCAmelCase__    :		List[str]=256		,				UpperCAmelCase__    :		Tuple=1024		,				UpperCAmelCase__    :		List[str]=216		,				UpperCAmelCase__    :		Optional[int]=1001		,				UpperCAmelCase__    :		str=32		,				UpperCAmelCase__    :		Any=50		,				UpperCAmelCase__    :		List[str]="absolute"		,				UpperCAmelCase__    :		List[str]=True		,				UpperCAmelCase__    :		Dict=None		,				**UpperCAmelCase__    :		str		,				):
										'''simple docstring'''
										super().__init__(
										    pad_token_id=UpperCAmelCase__		,				bos_token_id=UpperCAmelCase__		,				eos_token_id=UpperCAmelCase__		,				**UpperCAmelCase__		,				)
										lowercase   :       Optional[int]								=vocab_size
										lowercase   :       Optional[int]								=hidden_size
										lowercase   :       Tuple								=num_hidden_layers
										lowercase   :       str								=num_attention_heads
										lowercase   :       str								=hidden_act
										lowercase   :       List[Any]								=intermediate_size
										lowercase   :       Any								=hidden_dropout_prob
										lowercase   :       Union[str, Any]								=attention_probs_dropout_prob
										lowercase   :       Optional[int]								=max_position_embeddings
										lowercase   :       Any								=type_vocab_size
										lowercase   :       str								=initializer_range
										lowercase   :       List[str]								=layer_norm_eps
										lowercase   :       Optional[Any]								=position_embedding_type
										lowercase   :       Dict								=use_cache
										lowercase   :       str								=classifier_dropout
										# additional properties
										lowercase   :       Optional[Any]								=max_depth
										lowercase   :       Tuple								=max_xpath_tag_unit_embeddings
										lowercase   :       Optional[Any]								=max_xpath_subs_unit_embeddings
										lowercase   :       Tuple								=tag_pad_id
										lowercase   :       str								=subs_pad_id
										lowercase   :       Any								=xpath_unit_hidden_size








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int = 1000000	)							->     int:
						lowercase   :       Dict								=set(range(3      ,   __magic_name__      ,   2	)	)
						primes.add(2	)
						for p in range(3      ,   __magic_name__      ,   2	):
												if p not in primes:
																		continue
												primes.difference_update(set(range(p * p      ,   __magic_name__      ,   __magic_name__	)	)	)

						lowercase   :       List[Any]								=[float(__magic_name__	) for n in range(limit + 1	)]

						for p in primes:
												for n in range(__magic_name__      ,   limit + 1      ,   __magic_name__	):
																		phi[n] *= 1 - 1 / p

						return int(sum(phi[2:]	)	)


if __name__ == "__main__":
							print(f'''{solution() = }''')





