






from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase					:		Union[str, Any]	  =						logging.get_logger(__name__)

__UpperCamelCase					:		Any	  =						{
    "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(	_A	):
							_UpperCAmelCase     =       "ibert"
							def __init__(     self:      int       ,	UpperCamelCase:      int=3_05_22       ,	UpperCamelCase:      Dict=7_68       ,	UpperCamelCase:      Optional[int]=12       ,	UpperCamelCase:      str=12       ,	UpperCamelCase:      Union[str, Any]=30_72       ,	UpperCamelCase:      Optional[Any]="gelu"       ,	UpperCamelCase:      List[str]=0.1       ,	UpperCamelCase:      Tuple=0.1       ,	UpperCamelCase:      Optional[int]=5_12       ,	UpperCamelCase:      Tuple=2       ,	UpperCamelCase:      int=0.02       ,	UpperCamelCase:      Tuple=1e-12       ,	UpperCamelCase:      int=1       ,	UpperCamelCase:      Union[str, Any]=0       ,	UpperCamelCase:      List[Any]=2       ,	UpperCamelCase:      Optional[Any]="absolute"       ,	UpperCamelCase:      int=False       ,	UpperCamelCase:      Dict="none"       ,	**UpperCamelCase:      Dict       ,	)		->		Any:
											super().__init__(pad_token_id=UpperCamelCase       ,	bos_token_id=UpperCamelCase       ,	eos_token_id=UpperCamelCase       ,	**UpperCamelCase						)

											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(	_A	):
							@property
							def lowerCAmelCase_ (     self:      Any						)		->		Mapping[str, Mapping[int, str]]:
											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),
											    ]						)












def      a_ (      _A = 4000000  )			->			int:







				"""simple docstring"""
				snake_case__									=     [0, 1]
				snake_case__									=     0
				while fib[i] <= n:
								fib.append(fib[i] + fib[i + 1]  )
								if fib[i + 2] > n:
												break
								i += 1
				snake_case__									=     0
				for j in range(len(_A  ) - 1  ):
								if fib[j] % 2 == 0:
												total += fib[j]

				return total


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




