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


__a  			=					logging.get_logger(__name__)

__a  			=					{
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}
class  lowercase__(				_SCREAMING_SNAKE_CASE							):



	"""simple docstring"""




	a			:Tuple         =	'lilt'
	def __init__(       self  :			Tuple       ,							SCREAMING_SNAKE_CASE_  :			Union[str, Any]=3_0_5_2_2       ,							SCREAMING_SNAKE_CASE_  :			Dict=7_6_8       ,							SCREAMING_SNAKE_CASE_  :			List[str]=1_2       ,							SCREAMING_SNAKE_CASE_  :			Dict=1_2       ,							SCREAMING_SNAKE_CASE_  :			Any=3_0_7_2       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]="gelu"       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=0.1       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0.1       ,							SCREAMING_SNAKE_CASE_  :			List[str]=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			str=2       ,							SCREAMING_SNAKE_CASE_  :			str=0.02       ,							SCREAMING_SNAKE_CASE_  :			Tuple=1e-12       ,							SCREAMING_SNAKE_CASE_  :			List[str]=0       ,							SCREAMING_SNAKE_CASE_  :			List[Any]="absolute"       ,							SCREAMING_SNAKE_CASE_  :			Tuple=None       ,							SCREAMING_SNAKE_CASE_  :			Dict=4       ,							SCREAMING_SNAKE_CASE_  :			str=1_0_2_4       ,							**SCREAMING_SNAKE_CASE_  :			int       ,							)       ->     Optional[int]:
					super().__init__(pad_token_id=SCREAMING_SNAKE_CASE_       ,							**SCREAMING_SNAKE_CASE_       )

					lowercase_       =					vocab_size
					lowercase_       =					hidden_size
					lowercase_       =					num_hidden_layers
					lowercase_       =					num_attention_heads
					lowercase_       =					hidden_act
					lowercase_       =					intermediate_size
					lowercase_       =					hidden_dropout_prob
					lowercase_       =					attention_probs_dropout_prob
					lowercase_       =					max_position_embeddings
					lowercase_       =					type_vocab_size
					lowercase_       =					initializer_range
					lowercase_       =					layer_norm_eps
					lowercase_       =					position_embedding_type
					lowercase_       =					classifier_dropout
					lowercase_       =					channel_shrink_ratio
					lowercase_       =					max_ad_position_embeddings








'''simple docstring'''






from statistics import mean, stdev







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   min(A__					)
  lowerCAmelCase_			:      Optional[int]			=   max(A__					)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)							,    A__					) for x in data]







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   mean(A__					)
  lowerCAmelCase_			:      List[Any]			=   stdev(A__					)
  # standardize data
  return [round((x - mu) / (sigma)							,    A__					) for x in data]



