




from numpy import exp, pi, sqrt
def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase = 0.0						,lowercase = 1.0					)  ->       int:
   return 1 / sqrt(2 * pi * sigma**2					) * exp(-((x - mu) ** 2) / (2 * sigma**2)					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()











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





