


from collections import OrderedDict
from typing import Mapping

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


a			:			Dict												=					logging.get_logger(__name__)

a			:			Union[str, 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 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					__UpperCAmelCase							  =					"roformer"






					def __init__(					self			,							snake_case_=5_0_0_0_0			,							snake_case_=None			,							snake_case_=7_6_8			,							snake_case_=1_2			,							snake_case_=1_2			,							snake_case_=3_0_7_2			,							snake_case_="gelu"			,							snake_case_=0.1			,							snake_case_=0.1			,							snake_case_=1_5_3_6			,							snake_case_=2			,							snake_case_=0.0_2			,							snake_case_=1e-1_2			,							snake_case_=0			,							snake_case_=False			,							snake_case_=True			,							**snake_case_			,							) ->      Union[str, Any]:







								'''simple docstring'''

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

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




class 						lowerCamelCase_							(					lowerCAmelCase__					):



					'''simple docstring'''







					@property
					def A   (					self    ) ->      Mapping[str, Mapping[int, str]]:







								'''simple docstring'''

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






from maths.prime_factors import prime_factors


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			if not isinstance(_UpperCamelCase							,      _UpperCamelCase	):
						__lowercase			       = F'Input value of [number={number}] must be an integer'
						raise TypeError(_UpperCamelCase	)
			if number < 1:
						raise ValueError('''Input must be a positive integer'''	)
			return -1 if len(prime_factors(_UpperCamelCase	)	) % 2 else 1


if __name__ == "__main__":
	import doctest

	doctest.testmod()


