2526879b1f941c887eeb24a267b5ea010e20d5d7,PyNomaly/loop.py,LocalOutlierProbability,_standard_distance,#Any#Any#,84

Before Change

    @staticmethod
    def _standard_distance(mean_distance, sum_squared_distance):
        with np.errstate(divide="ignore", invalid="ignore"):
            st_dist = np.sqrt(np.divide(sum_squared_distance, np.fabs(mean_distance)))
        return st_dist

    @staticmethod

After Change

    @staticmethod
    def _standard_distance(cardinality, sum_squared_distance):
        with np.errstate(divide="ignore", invalid="ignore"):
            st_dist = np.array([np.sqrt(i) for i in np.divide(sum_squared_distance, cardinality)])
        return st_dist

    @staticmethod

Instances