





"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_									=logging.get_logger(__name__)

UpperCamelCase_									={
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}




class 			_a						(				a__    ):
				UpperCamelCase								=   '''roberta'''






				def __init__(			self		:   Any,			lowerCAmelCase__		:   Tuple=5_0_2_6_5,			lowerCAmelCase__		:   int=7_6_8,			lowerCAmelCase__		:   Optional[Any]=1_2,			lowerCAmelCase__		:   Tuple=1_2,			lowerCAmelCase__		:   List[str]=3_0_7_2,			lowerCAmelCase__		:   Union[str, Any]="gelu",			lowerCAmelCase__		:   Dict=0.1,			lowerCAmelCase__		:   Tuple=0.1,			lowerCAmelCase__		:   Tuple=5_1_2,			lowerCAmelCase__		:   Optional[int]=2,			lowerCAmelCase__		:   List[Any]=0.02,			lowerCAmelCase__		:   Any=1e-1_2,			lowerCAmelCase__		:   Optional[Any]=1,			lowerCAmelCase__		:   Union[str, Any]=0,			lowerCAmelCase__		:   Optional[Any]=2,			lowerCAmelCase__		:   Optional[Any]="absolute",			lowerCAmelCase__		:   str=True,			lowerCAmelCase__		:   Optional[Any]=None,			**lowerCAmelCase__		:   Any,			)     ->				Dict:




										'''simple docstring'''



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

										_UpperCamelCase      : Dict         =   vocab_size
										_UpperCamelCase      : List[Any]         =   hidden_size
										_UpperCamelCase      : str         =   num_hidden_layers
										_UpperCamelCase      : int         =   num_attention_heads
										_UpperCamelCase      : Dict         =   hidden_act
										_UpperCamelCase      : List[str]         =   intermediate_size
										_UpperCamelCase      : Optional[int]         =   hidden_dropout_prob
										_UpperCamelCase      : Union[str, Any]         =   attention_probs_dropout_prob
										_UpperCamelCase      : Union[str, Any]         =   max_position_embeddings
										_UpperCamelCase      : Dict         =   type_vocab_size
										_UpperCamelCase      : int         =   initializer_range
										_UpperCamelCase      : int         =   layer_norm_eps
										_UpperCamelCase      : Union[str, Any]         =   position_embedding_type
										_UpperCamelCase      : Any         =   use_cache
										_UpperCamelCase      : int         =   classifier_dropout




class 			_a						(				a__    ):






				@property
				def     snake_case     (			self		:   Tuple							)     ->				Union[str, Any]:




										'''simple docstring'''



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










"""simple docstring"""




def 	a_    (							_lowercase = 100       ):
						_UpperCamelCase      : List[Any]         =   0
						_UpperCamelCase      : Optional[Any]         =   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() = }")



