Ejemplo n.º 1
0
def test_restart(backend, dtype):
    # Run a sampler with the default backend.
    b = backends.Backend()
    run_sampler(b, dtype=dtype)
    sampler1 = run_sampler(b, seed=None, dtype=dtype)

    with backend() as be:
        run_sampler(be, dtype=dtype)
        sampler2 = run_sampler(be, seed=None, dtype=dtype)

        # Check all of the components.
        for k in ["chain", "log_prob", "blobs"]:
            a = getattr(sampler1, "get_" + k)()
            b = getattr(sampler2, "get_" + k)()
            _custom_allclose(a, b)

        last1 = sampler1.get_last_sample()
        last2 = sampler2.get_last_sample()
        assert np.allclose(last1.coords, last2.coords)
        assert np.allclose(last1.log_prob, last2.log_prob)
        assert all(
            np.allclose(l1, l2)
            for l1, l2 in zip(last1.random_state[1:], last2.random_state[1:]))
        _custom_allclose(last1.blobs, last2.blobs)

        a = sampler1.acceptance_fraction
        b = sampler2.acceptance_fraction
        assert np.allclose(a, b), "inconsistent acceptance fraction"
Ejemplo n.º 2
0
def test_backend(backend, dtype, blobs):
    # Run a sampler with the default backend.
    sampler1 = run_sampler(backends.Backend(), dtype=dtype, blobs=blobs)

    with backend() as be:
        sampler2 = run_sampler(be, dtype=dtype, blobs=blobs)

        values = ["chain", "log_prob"]
        if blobs:
            values += ["blobs"]
        else:
            assert sampler1.get_blobs() is None
            assert sampler2.get_blobs() is None

        # Check all of the components.
        for k in values:
            a = getattr(sampler1, "get_" + k)()
            b = getattr(sampler2, "get_" + k)()
            _custom_allclose(a, b)

        last1 = sampler1.get_last_sample()
        last2 = sampler2.get_last_sample()
        assert np.allclose(last1.coords, last2.coords)
        assert np.allclose(last1.log_prob, last2.log_prob)
        assert all(
            np.allclose(l1, l2)
            for l1, l2 in zip(last1.random_state[1:], last2.random_state[1:]))
        if blobs:
            _custom_allclose(last1.blobs, last2.blobs)
        else:
            assert last1.blobs is None and last2.blobs is None

        a = sampler1.acceptance_fraction
        b = sampler2.acceptance_fraction
        assert np.allclose(a, b), "inconsistent acceptance fraction"
Ejemplo n.º 3
0
def test_backend(backend):
    # Run a sampler with the default backend.
    sampler1 = run_sampler(backends.Backend())

    with backend() as be:
        sampler2 = run_sampler(be)

        # Check all of the components.
        for k in ["chain", "log_prob"]:
            a = getattr(sampler1, "get_" + k)()
            b = getattr(sampler2, "get_" + k)()
            assert np.allclose(a, b), "inconsistent {0}".format(k)

        a = sampler1.acceptance_fraction
        b = sampler2.acceptance_fraction
        assert np.allclose(a, b), "inconsistent acceptance fraction"