



'''simple docstring'''




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


lowerCamelCase							:Dict       = logging.get_logger(__name__)

lowerCamelCase							:List[Any]       = {
    '''google/realm-cc-news-pretrained-embedder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-encoder''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-scorer''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'''
    ),
    '''google/realm-cc-news-pretrained-openqa''': (
        '''https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'''
    ),
    '''google/realm-orqa-nq-openqa''': '''https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-nq-reader''': '''https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json''',
    '''google/realm-orqa-wq-openqa''': '''https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json''',
    '''google/realm-orqa-wq-reader''': '''https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json''',
    # See all REALM models at https://huggingface.co/models?filter=realm
}







class      _lowerCAmelCase							(      __UpperCAmelCase			):
	__SCREAMING_SNAKE_CASE       :		Union[str, Any]		      = '''realm'''


	def __init__(self	,				lowercase=30522	,				lowercase=768	,				lowercase=128	,				lowercase=12	,				lowercase=12	,				lowercase=8	,				lowercase=3072	,				lowercase="gelu_new"	,				lowercase=0.1	,				lowercase=0.1	,				lowercase=512	,				lowercase=2	,				lowercase=0.02	,				lowercase=1E-12	,				lowercase=256	,				lowercase=10	,				lowercase=1E-3	,				lowercase=5	,				lowercase=320	,				lowercase=13353718	,				lowercase=5000	,				lowercase=1	,				lowercase=0	,				lowercase=2	,				**lowercase	,				):
				super().__init__(pad_token_id=lowerCAmelCase__	,				bos_token_id=lowerCAmelCase__	,				eos_token_id=lowerCAmelCase__	,				**lowerCAmelCase__							)

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

				# Reader config
				A_     :						List[str]     =					span_hidden_size
				A_     :						Optional[Any]     =					max_span_width
				A_     :						Optional[Any]     =					reader_layer_norm_eps
				A_     :						int     =					reader_beam_size
				A_     :						Optional[int]     =					reader_seq_len

				# Retrieval config
				A_     :						Dict     =					num_block_records
				A_     :						Any     =					searcher_beam_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()