b2566d099e6b0b4cc8c3958638d06ad3c87eee41,pymc/tests/test_graph.py,,mymodel,#,7

Before Change

        x.__name__ = r"x_%i" % i
        last_x = x

        F.append(x)

        del x

    @deterministic
    def q(pop = A):
        return (0)
    F.append(q)

    F.append(5)

    F = Container(F)

    del q

After Change

def mymodel():
    mu=pm.Normal("mu",0,1)
    N= [pm.Normal("N_%i"%i,mu,1) for i in xrange(10)]
    z = pm.Lambda("z",lambda n=N: np.sum(n))
    @pm.potential
    def y(z=z):
        return -z**2
    return mu,N,z,y

Instances