






"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowerCAmelCase         =							logging.get_logger(__name__)

_lowerCAmelCase         =							{
    "uw-madison/mra-base-512-4": "https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json",
}



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE						):





	"""simple docstring"""




	_A       :				Dict    =				"""mra"""





	def __init__(self     ,     lowerCAmelCase_=50265     ,     lowerCAmelCase_=768     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=12     ,     lowerCAmelCase_=3072     ,     lowerCAmelCase_="gelu"     ,     lowerCAmelCase_=0.1     ,     lowerCAmelCase_=0.1     ,     lowerCAmelCase_=512     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=0.02     ,     lowerCAmelCase_=1e-5     ,     lowerCAmelCase_="absolute"     ,     lowerCAmelCase_=4     ,     lowerCAmelCase_="full"     ,     lowerCAmelCase_=0     ,     lowerCAmelCase_=0     ,     lowerCAmelCase_=1     ,     lowerCAmelCase_=0     ,     lowerCAmelCase_=2     ,     **lowerCAmelCase_     ,     ):
		super().__init__(pad_token_id=lowerCAmelCase_     ,     bos_token_id=lowerCAmelCase_     ,     eos_token_id=lowerCAmelCase_     ,     **lowerCAmelCase_							)

		A_		:						Any	    =   vocab_size
		A_		:						Union[str, Any]	    =   max_position_embeddings
		A_		:						Dict	    =   hidden_size
		A_		:						List[Any]	    =   num_hidden_layers
		A_		:						Optional[int]	    =   num_attention_heads
		A_		:						str	    =   intermediate_size
		A_		:						int	    =   hidden_act
		A_		:						List[str]	    =   hidden_dropout_prob
		A_		:						Any	    =   attention_probs_dropout_prob
		A_		:						Any	    =   initializer_range
		A_		:						Dict	    =   type_vocab_size
		A_		:						Optional[Any]	    =   layer_norm_eps
		A_		:						int	    =   position_embedding_type
		A_		:						str	    =   block_per_row
		A_		:						Dict	    =   approx_mode
		A_		:						Any	    =   initial_prior_first_n_blocks
		A_		:						Tuple	    =   initial_prior_diagonal_n_blocks









"""simple docstring"""
from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors






def 			__UpperCamelCase	(		snake_case__					):
	A_		:						List[str]	    =   prime_factors(snake_case__					)
	if is_square_free(snake_case__					):
		return -1 if len(snake_case__					) % 2 else 1
	return 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()

