コード例 #1
0
def test_tangential_onb(actx_factory):
    actx = actx_factory()

    from meshmode.mesh.generation import generate_torus
    mesh = generate_torus(5, 2, order=3)

    discr = Discretization(
            actx, mesh, InterpolatoryQuadratureSimplexGroupFactory(3))

    tob = sym.tangential_onb(mesh.ambient_dim)
    nvecs = tob.shape[1]

    # make sure tangential_onb is mutually orthogonal and normalized
    orth_check = bind(discr, sym.make_obj_array([
        np.dot(tob[:, i], tob[:, j]) - (1 if i == j else 0)
        for i in range(nvecs) for j in range(nvecs)])
        )(actx)

    for orth_i in orth_check:
        assert actx.to_numpy(
                actx.np.all(actx.np.abs(orth_i) < 1e-13)
                )

    # make sure tangential_onb is orthogonal to normal
    orth_check = bind(discr, sym.make_obj_array([
        np.dot(tob[:, i], sym.normal(mesh.ambient_dim).as_vector())
        for i in range(nvecs)])
        )(actx)

    for orth_i in orth_check:
        assert actx.to_numpy(
                actx.np.all(actx.np.abs(orth_i) < 1e-13)
                )
コード例 #2
0
def test_tangential_onb(ctx_factory):
    cl_ctx = ctx_factory()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.mesh.generation import generate_torus
    mesh = generate_torus(5, 2, order=3)

    discr = Discretization(cl_ctx, mesh,
                           InterpolatoryQuadratureSimplexGroupFactory(3))

    tob = sym.tangential_onb(mesh.ambient_dim)
    nvecs = tob.shape[1]

    # make sure tangential_onb is mutually orthogonal and normalized
    orth_check = bind(
        discr,
        sym.make_obj_array([
            np.dot(tob[:, i], tob[:, j]) - (1 if i == j else 0)
            for i in range(nvecs) for j in range(nvecs)
        ]))(queue)

    for i, orth_i in enumerate(orth_check):
        assert (cl.clmath.fabs(orth_i) < 1e-13).get().all()

    # make sure tangential_onb is orthogonal to normal
    orth_check = bind(
        discr,
        sym.make_obj_array([
            np.dot(tob[:, i],
                   sym.normal(mesh.ambient_dim).as_vector())
            for i in range(nvecs)
        ]))(queue)

    for i, orth_i in enumerate(orth_check):
        assert (cl.clmath.fabs(orth_i) < 1e-13).get().all()
コード例 #3
0
ファイル: test_symbolic.py プロジェクト: inducer/pytential
def test_tangential_onb(ctx_factory):
    cl_ctx = ctx_factory()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.mesh.generation import generate_torus
    mesh = generate_torus(5, 2, order=3)

    discr = Discretization(
            cl_ctx, mesh,
            InterpolatoryQuadratureSimplexGroupFactory(3))

    tob = sym.tangential_onb(mesh.ambient_dim)
    nvecs = tob.shape[1]

    # make sure tangential_onb is mutually orthogonal and normalized
    orth_check = bind(discr, sym.make_obj_array([
        np.dot(tob[:, i], tob[:, j]) - (1 if i == j else 0)
        for i in range(nvecs) for j in range(nvecs)])
        )(queue)

    for i, orth_i in enumerate(orth_check):
        assert (cl.clmath.fabs(orth_i) < 1e-13).get().all()

    # make sure tangential_onb is orthogonal to normal
    orth_check = bind(discr, sym.make_obj_array([
        np.dot(tob[:, i], sym.normal(mesh.ambient_dim).as_vector())
        for i in range(nvecs)])
        )(queue)

    for i, orth_i in enumerate(orth_check):
        assert (cl.clmath.fabs(orth_i) < 1e-13).get().all()