



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

					while len(__lowerCamelCase	) < 1E6:
										constant.append(str(__lowerCamelCase	)	)
										i += 1

					__lowerCAmelCase	   ="""""".join(__lowerCamelCase	)

					return (
					    int(constant[0]	)
					    * int(constant[9]	)
					    * int(constant[99]	)
					    * int(constant[999]	)
					    * int(constant[9999]	)
					    * int(constant[99999]	)
					    * int(constant[999999]	)
					)


if __name__ == "__main__":
				print(solution())




