



from collections import OrderedDict
from typing import Mapping

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


lowercase_													=      logging.get_logger(__name__)

lowercase_													=      {
    '''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			(  SCREAMING_SNAKE_CASE					):
	SCREAMING_SNAKE_CASE  	=							"roformer"



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

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






class     __a			(  SCREAMING_SNAKE_CASE					):



	@property
	def 		UpperCamelCase				(    self				:     Tuple)->				Mapping[str, Mapping[int, str]]:
						if self.task == "multiple-choice":
											__lowerCAmelCase						 ={0: """batch""", 1: """choice""", 2: """sequence"""}
						else:
											__lowerCAmelCase						 ={0: """batch""", 1: """sequence"""}
						__lowerCAmelCase						 ={0: """batch""", 1: """sequence"""}
						return OrderedDict(
						    [
						        ("""input_ids""", dynamic_axis),
						        ("""attention_mask""", dynamic_axis),
						        ("""token_type_ids""", dynamic_axis),
						    ])









def        __lowerCAmelCase		(	__lowerCamelCase						:     int						)	->    bool:
					if number < 0:
										raise ValueError("""number must not be negative"""						)
					return number & (number - 1) == 0


if __name__ == "__main__":
				import doctest

				doctest.testmod()




