




"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase	:      Optional[Any]   =							logging.get_logger(__name__)

_lowerCamelCase	:      List[Any]   =							{
    'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/config.json',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}

class 							lowercase   (     __UpperCAmelCase):
				__lowerCAmelCase     :     Tuple								= """rembert"""







				def __init__(				self :       List[Any]   ,  _lowerCamelCase :       List[Any]=25_03_00   ,  _lowerCamelCase :       Union[str, Any]=11_52   ,  _lowerCamelCase :       List[Any]=32   ,  _lowerCamelCase :       Tuple=18   ,  _lowerCamelCase :       Optional[Any]=2_56   ,  _lowerCamelCase :       int=16_64   ,  _lowerCamelCase :       List[Any]=46_08   ,  _lowerCamelCase :       int="gelu"   ,  _lowerCamelCase :       Optional[int]=0.0   ,  _lowerCamelCase :       Union[str, Any]=0.0   ,  _lowerCamelCase :       int=0.1   ,  _lowerCamelCase :       Tuple=5_12   ,  _lowerCamelCase :       int=2   ,  _lowerCamelCase :       List[Any]=0.02   ,  _lowerCamelCase :       Optional[int]=1E-12   ,  _lowerCamelCase :       str=True   ,  _lowerCamelCase :       str=0   ,  _lowerCamelCase :       Union[str, Any]=3_12   ,  _lowerCamelCase :       Any=3_13   ,  **_lowerCamelCase :       Optional[Any]   ,  ):



					"""simple docstring"""

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

					A_	:					List[Any]						 =		vocab_size
					A_	:					List[str]						 =		input_embedding_size
					A_	:					str						 =		output_embedding_size
					A_	:					Dict						 =		max_position_embeddings
					A_	:					List[Any]						 =		hidden_size
					A_	:					Union[str, Any]						 =		num_hidden_layers
					A_	:					int						 =		num_attention_heads
					A_	:					List[str]						 =		intermediate_size
					A_	:					Union[str, Any]						 =		hidden_act
					A_	:					List[Any]						 =		hidden_dropout_prob
					A_	:					List[str]						 =		attention_probs_dropout_prob
					A_	:					int						 =		classifier_dropout_prob
					A_	:					Any						 =		initializer_range
					A_	:					Optional[Any]						 =		type_vocab_size
					A_	:					Tuple						 =		layer_norm_eps
					A_	:					Optional[Any]						 =		use_cache
					A_	:					Optional[int]						 =		False

class 							lowercase   (     __UpperCAmelCase):







				@property
				def        a_	(				self :       str							):



					"""simple docstring"""

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







				@property
				def        a_	(				self :       int							):



					"""simple docstring"""

					return 1E-4











"""simple docstring"""

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	return a + b


if __name__ == "__main__":
		_lowerCamelCase	:      Tuple   =							5
		_lowerCamelCase	:      Union[str, Any]   =							6
		print(f'The sum of {a} + {b} is {add(a, b)}')





