






from statistics import mean, stdev







def 		_UpperCamelCase				(      UpperCamelCase_    :   list      ,    UpperCamelCase_    :   int = 3						)					->				list:

						"""simple docstring"""



						lowerCAmelCase__        =  min(UpperCamelCase_						)
						lowerCAmelCase__        =  max(UpperCamelCase_						)
						# normalize data
						return [round((x - x_min) / (x_max - x_min)      ,    UpperCamelCase_						) for x in data]







def 		_UpperCamelCase				(      UpperCamelCase_    :   list      ,    UpperCamelCase_    :   int = 3						)					->				list:

						"""simple docstring"""



						lowerCAmelCase__        =  mean(UpperCamelCase_						)
						lowerCAmelCase__        =  stdev(UpperCamelCase_						)
						# standardize data
						return [round((x - mu) / (sigma)      ,    UpperCamelCase_						) for x in data]













from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments





