


'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase   : Any             =				logging.get_logger(__name__)

lowerCAmelCase   : Dict             =				{
    """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        _UpperCamelCase	(    SCREAMING_SNAKE_CASE):


				'''simple docstring'''


				_snake_case						       =				'''roformer'''

				def __init__(     self							,      a_=5_0_0_0_0							,      a_=None							,      a_=7_6_8							,      a_=1_2							,      a_=1_2							,      a_=3_0_7_2							,      a_="gelu"							,      a_=0.1							,      a_=0.1							,      a_=1_5_3_6							,      a_=2							,      a_=0.02							,      a_=1e-1_2							,      a_=0							,      a_=False							,      a_=True							,      **a_							,      )    ->  Optional[Any]:
					super().__init__(pad_token_id=a_							,      **a_							)

					lowercase						:		Dict   					=		vocab_size
					lowercase						:		List[str]   					=		hidden_size if embedding_size is None else embedding_size
					lowercase						:		Optional[int]   					=		hidden_size
					lowercase						:		Optional[Any]   					=		num_hidden_layers
					lowercase						:		Dict   					=		num_attention_heads
					lowercase						:		Optional[int]   					=		hidden_act
					lowercase						:		Tuple   					=		intermediate_size
					lowercase						:		Dict   					=		hidden_dropout_prob
					lowercase						:		Tuple   					=		attention_probs_dropout_prob
					lowercase						:		List[str]   					=		max_position_embeddings
					lowercase						:		int   					=		type_vocab_size
					lowercase						:		int   					=		initializer_range
					lowercase						:		str   					=		layer_norm_eps
					lowercase						:		str   					=		rotary_value
					lowercase						:		Dict   					=		use_cache




class        _UpperCamelCase	(    SCREAMING_SNAKE_CASE):


				'''simple docstring'''


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






'''simple docstring'''
import baseaa




def 	_A  (       A							)  ->				bytes:
	return baseaa.aaaencode(string.encode("utf-8"							)							)




def 	_A  (       A							)  ->				str:
	return baseaa.aaadecode(A							).decode("utf-8"							)


if __name__ == "__main__":
					import doctest

					doctest.testmod()


