
from collections import OrderedDict
from typing import Mapping

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


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

_lowerCamelCase	:    List[str]          =      {
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		List[str]          = "ibert"



	def __init__(  self     :   Optional[int]      ,  lowercase     :   str=30_522      ,  lowercase     :   Dict=768      ,  lowercase     :   List[Any]=12      ,  lowercase     :   Union[str, Any]=12      ,  lowercase     :   Dict=3_072      ,  lowercase     :   str="gelu"      ,  lowercase     :   Optional[Any]=0.1      ,  lowercase     :   Tuple=0.1      ,  lowercase     :   List[Any]=512      ,  lowercase     :   int=2      ,  lowercase     :   Optional[Any]=0.02      ,  lowercase     :   int=1E-12      ,  lowercase     :   Optional[int]=1      ,  lowercase     :   int=0      ,  lowercase     :   str=2      ,  lowercase     :   Optional[Any]="absolute"      ,  lowercase     :   Optional[Any]=False      ,  lowercase     :   Any="none"      ,  **lowercase     :   str      ,  ):


				'''simple docstring'''


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

				_snake_case          =      vocab_size
				_snake_case          =      hidden_size
				_snake_case          =      num_hidden_layers
				_snake_case          =      num_attention_heads
				_snake_case          =      hidden_act
				_snake_case          =      intermediate_size
				_snake_case          =      hidden_dropout_prob
				_snake_case          =      attention_probs_dropout_prob
				_snake_case          =      max_position_embeddings
				_snake_case          =      type_vocab_size
				_snake_case          =      initializer_range
				_snake_case          =      layer_norm_eps
				_snake_case          =      position_embedding_type
				_snake_case          =      quant_mode
				_snake_case          =      force_dequant




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	@property
	def 			A							(  self     :   List[str]     ):


				'''simple docstring'''


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

import baseaa






def 	a_		(	__lowercase       :     str			)			->  bytes:
			return baseaa.aaaencode(string.encode('utf-8'			)			)






def 	a_		(	__lowercase       :     bytes			)			->  str:
			return baseaa.aaadecode(__lowercase			).decode('utf-8'			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()