



'''simple docstring'''




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


lowerCamelCase							:Union[str, Any]       = logging.get_logger(__name__)

lowerCamelCase							:Optional[Any]       = {
    '''google/canine-s''': '''https://huggingface.co/google/canine-s/resolve/main/config.json''',
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class      _lowerCAmelCase							(      __UpperCAmelCase			):
	__SCREAMING_SNAKE_CASE       :		int		      = 'canine'


	def __init__(self	,				lowercase=768	,				lowercase=12	,				lowercase=12	,				lowercase=3072	,				lowercase="gelu"	,				lowercase=0.1	,				lowercase=0.1	,				lowercase=16384	,				lowercase=16	,				lowercase=0.02	,				lowercase=1E-12	,				lowercase=0	,				lowercase=0XE000	,				lowercase=0XE001	,				lowercase=4	,				lowercase=4	,				lowercase=8	,				lowercase=16384	,				lowercase=128	,				**lowercase	,				):
				super().__init__(pad_token_id=lowercase	,				bos_token_id=lowercase	,				eos_token_id=lowercase	,				**lowercase							)

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

				# Character config:
				A_     :						Optional[Any]     =					downsampling_rate
				A_     :						Optional[int]     =					upsampling_kernel_size
				A_     :						Optional[int]     =					num_hash_functions
				A_     :						int     =					num_hash_buckets
				A_     :						Any     =					local_transformer_stride




'''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()