





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


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

A   : Optional[Any]			=				{
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}


class   A      (A_   ):
			'''simple docstring'''




			__lowerCamelCase     :	str          =   '''roformer'''






			def __init__(      self       :   Optional[Any]							,     __lowerCAmelCase       :   int=5_00_00							,     __lowerCAmelCase       :   List[str]=None							,     __lowerCAmelCase       :   Dict=7_68							,     __lowerCAmelCase       :   int=12							,     __lowerCAmelCase       :   Union[str, Any]=12							,     __lowerCAmelCase       :   Tuple=30_72							,     __lowerCAmelCase       :   List[str]="gelu"							,     __lowerCAmelCase       :   int=0.1							,     __lowerCAmelCase       :   Dict=0.1							,     __lowerCAmelCase       :   Tuple=15_36							,     __lowerCAmelCase       :   List[str]=2							,     __lowerCAmelCase       :   Optional[int]=0.0_2							,     __lowerCAmelCase       :   Any=1e-12							,     __lowerCAmelCase       :   Union[str, Any]=0							,     __lowerCAmelCase       :   Optional[Any]=False							,     __lowerCAmelCase       :   List[Any]=True							,     **__lowerCAmelCase       :   Tuple							,     )     ->     List[str]:







					"""simple docstring"""






					super().__init__(pad_token_id=_lowerCamelCase							,     **_lowerCamelCase       )

					A__  				=       vocab_size
					A__  				=       hidden_size if embedding_size is None else embedding_size
					A__  				=       hidden_size
					A__  				=       num_hidden_layers
					A__  				=       num_attention_heads
					A__  				=       hidden_act
					A__  				=       intermediate_size
					A__  				=       hidden_dropout_prob
					A__  				=       attention_probs_dropout_prob
					A__  				=       max_position_embeddings
					A__  				=       type_vocab_size
					A__  				=       initializer_range
					A__  				=       layer_norm_eps
					A__  				=       rotary_value
					A__  				=       use_cache


class   A      (A_   ):
			'''simple docstring'''




			@property
			def        a_	(      self       :   Any       )     ->     Tuple:







					"""simple docstring"""






					if self.task == "multiple-choice":
							A__  				=       {0: """batch""", 1: """choice""", 2: """sequence"""}
					else:
							A__  				=       {0: """batch""", 1: """sequence"""}
					A__  				=       {0: """batch""", 1: """sequence"""}
					return OrderedDict(
					    [
					        ("""input_ids""", dynamic_axis),
					        ("""attention_mask""", dynamic_axis),
					        ("""token_type_ids""", dynamic_axis),
					    ]       )








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







def        __lowerCamelCase (							__a       :int   )		->    int:






		"""simple docstring"""

		A__  				=       prime_factors(__a   )
		if is_square_free(__a   ):
				return -1 if len(__a   ) % 2 else 1
		return 0


if __name__ == "__main__":
					import doctest

					doctest.testmod()



