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

Before Change

    F.append(x_0)
    last_x = x_0

    for i in range(1,3):
        @stochastic
        def x(value=0, last = last_x, mod = C):
            return 0.
        x.__name__ = r"x_%i" % i
        last_x = x

        F.append(x)

        del x

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

After Change

DIR = "testresults"

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):

Instances