



'''simple docstring'''




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


lowerCamelCase							:Any       = logging.get_logger(__name__)

lowerCamelCase							:str       = {
    '''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							(      __UpperCAmelCase			):
	__SCREAMING_SNAKE_CASE       :		int		      = 'markuplm'


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




'''simple docstring'''




from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						List[Any]     =					prime_factors(lowerCamelCase__   )
			if is_square_free(lowerCamelCase__   ):
						return -1 if len(lowerCamelCase__   ) % 2 else 1
			return 0


if __name__ == "__main__":
						import doctest

						doctest.testmod()