from collections import OrderedDict
from typing import Mapping

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


_lowerCAmelCase       =		logging.get_logger(__name__)

_lowerCAmelCase       =		{
    "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     lowerCAmelCase_     (       __lowercase ):
							UpperCAmelCase				   =     "ibert"







							def __init__(   self      :     str ,			_A      :     Any=3_0522 ,			_A      :     List[Any]=768 ,			_A      :     Any=12 ,			_A      :     Union[str, Any]=12 ,			_A      :     Union[str, Any]=3072 ,			_A      :     Optional[int]="gelu" ,			_A      :     int=0.1 ,			_A      :     Tuple=0.1 ,			_A      :     int=512 ,			_A      :     int=2 ,			_A      :     Union[str, Any]=0.02 ,			_A      :     Dict=1e-12 ,			_A      :     Tuple=1 ,			_A      :     str=0 ,			_A      :     Dict=2 ,			_A      :     Union[str, Any]="absolute" ,			_A      :     Optional[int]=False ,			_A      :     List[Any]="none" ,			**_A      :     Dict ,			):
												super().__init__(pad_token_id=_A ,			bos_token_id=_A ,			eos_token_id=_A ,			**_A		)

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




class     lowerCAmelCase_     (       __lowercase ):







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




def 		_A		(		_lowercase = 1_00 )					-> int:


     """simple docstring"""


     __UpperCamelCase =			0
     __UpperCamelCase =			0
     for i in range(1					,  n + 1 ):
          sum_of_squares += i**2
          sum_of_ints += i
     return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
    print(f"""{solution() = }""")


