def ising_weights(self, for_sampling=False):
        if not hasattr(self, 'sampling_W_stdev'):
            self.sampling_W_stdev = None
        if for_sampling and self.sampling_W_stdev is not None:
            return self.noisy_sampling_W
        return 0.25 * self.W
multiply
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/models/dbm/ising.py/BoltzmannIsingHidden.ising_weights--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/lib/django-1.5/django/contrib/gis/geos/mutable_list.py/ListMixin.__mul__