



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_snake_case				=					logging.get_logger(__name__)

_snake_case				=					{
    'SCUT-DLVCLab/lilt-roberta-en-base': (
        'https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'
    ),
}






class 		lowerCAmelCase_ (			_a ):







		"""simple docstring"""
		UpperCAmelCase__													=       """lilt"""
		def __init__(		self     ,    _SCREAMING_SNAKE_CASE=30_522     ,    _SCREAMING_SNAKE_CASE=768     ,    _SCREAMING_SNAKE_CASE=12     ,    _SCREAMING_SNAKE_CASE=12     ,    _SCREAMING_SNAKE_CASE=3_072     ,    _SCREAMING_SNAKE_CASE="gelu"     ,    _SCREAMING_SNAKE_CASE=0.1     ,    _SCREAMING_SNAKE_CASE=0.1     ,    _SCREAMING_SNAKE_CASE=512     ,    _SCREAMING_SNAKE_CASE=2     ,    _SCREAMING_SNAKE_CASE=0.0_2     ,    _SCREAMING_SNAKE_CASE=1e-1_2     ,    _SCREAMING_SNAKE_CASE=0     ,    _SCREAMING_SNAKE_CASE="absolute"     ,    _SCREAMING_SNAKE_CASE=None     ,    _SCREAMING_SNAKE_CASE=4     ,    _SCREAMING_SNAKE_CASE=1_024     ,    **_SCREAMING_SNAKE_CASE     ,    )     ->  Dict:
									super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE     ,    **_SCREAMING_SNAKE_CASE			)

									__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          =  classifier_dropout
									__UpperCamelCase          =  channel_shrink_ratio
									__UpperCamelCase          =  max_ad_position_embeddings







def 						_lowerCAmelCase							(     _lowerCAmelCase = 100			)    ->						int:


						'''simple docstring'''






						__snake_case				=		n * (n + 1) * (2 * n + 1) / 6
						__snake_case				=		(n * (n + 1) / 2) ** 2
						return int(square_of_sum - sum_of_squares			)


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





