2e6b56ce989ddb63bd367d13373a3ec1d190fac6,src/iid_gaussian.py,StdNormalMetamodel,simulate_joint,#StdNormalMetamodel#Any#Any#Any#Any#,50

Before Change

    def drop_models(self, *args): pass
    def analyze_models(self, *args): pass
    def simulate_joint(self, _bdb, _generator_id, targets, _constraints):
        return stats.norm(loc=0, scale=1).rvs(len(targets))
    def logpdf(self, _bdb, _generator_id, targets, _constraints):
        vals = [value for (_, _, value) in targets]
        anss = stats.norm(loc=0, scale=1).logpdf(vals)

After Change

    def drop_models(self, *args): pass
    def analyze_models(self, *args): pass
    def simulate_joint(self, _bdb, _generator_id, targets, _constraints):
        return [self.prng.gauss(0, 1) for _ in targets]
    def logpdf(self, _bdb, _generator_id, targets, _constraints):
        return sum(logpdfOne(value, 0, 1) for (_, _, value) in targets)
    def insert(self, *args): pass
    def remove(self, *args): pass

Instances