9f7d418c4eae41ded178402ab07538910c11b07a,pymc/tests/test_graph.py,,mymodel,#,7

Before Change

    def C(value=0, mom = A, dad = B):
        return 0.

    F = []

    @stochastic
    def x_0(value=0, mod = C):
        return 0.
    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)

    F.append(5)

    F = Container(F)

    del q
    del x_0

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):
        return -z**2

Instances