Exemple #1
0
def test_circle_mesh(visualize=False):
    from meshmode.mesh.io import generate_gmsh, FileSource
    logger.info("BEGIN GEN")
    mesh = generate_gmsh(
        FileSource("circle.step"),
        2,
        order=2,
        force_ambient_dim=2,
        other_options=["-string", "Mesh.CharacteristicLengthMax = 0.05;"],
        target_unit="MM",
    )
    logger.info("END GEN")
    logger.info("nelements: %d", mesh.nelements)

    from meshmode.mesh.processing import affine_map
    mesh = affine_map(mesh, A=3 * np.eye(2))

    if visualize:
        from meshmode.mesh.visualization import draw_2d_mesh
        draw_2d_mesh(mesh,
                     fill=None,
                     draw_vertex_numbers=False,
                     draw_nodal_adjacency=True,
                     set_bounding_box=True)
        import matplotlib.pyplot as pt
        pt.axis("equal")
        pt.savefig("circle_mesh", dpi=300)
Exemple #2
0
def test_merge_and_map(ctx_getter, visualize=False):
    from meshmode.mesh.io import generate_gmsh, FileSource

    mesh_order = 3

    mesh = generate_gmsh(
            FileSource("blob-2d.step"), 2, order=mesh_order,
            force_ambient_dim=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"]
            )

    from meshmode.mesh.processing import merge_dijsoint_meshes, affine_map
    mesh2 = affine_map(mesh, A=np.eye(2), b=np.array([5, 0]))

    mesh3 = merge_dijsoint_meshes((mesh2, mesh))

    if visualize:
        from meshmode.discretization import Discretization
        from meshmode.discretization.poly_element import \
                PolynomialWarpAndBlendGroupFactory
        cl_ctx = ctx_getter()
        queue = cl.CommandQueue(cl_ctx)

        discr = Discretization(cl_ctx, mesh3,
                PolynomialWarpAndBlendGroupFactory(3))

        from meshmode.discretization.visualization import make_visualizer
        vis = make_visualizer(queue, discr, 1)
        vis.write_vtk_file("merged.vtu", [])
    def get_mesh(self, resolution, mesh_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        base_mesh = generate_gmsh(FileSource("ellipsoid.step"),
                                  2,
                                  order=mesh_order,
                                  other_options=[
                                      "-string",
                                      "Mesh.CharacteristicLengthMax = %g;" %
                                      resolution
                                  ])

        from meshmode.mesh.processing import perform_flips
        base_mesh = perform_flips(base_mesh, np.ones(base_mesh.nelements))

        from meshmode.mesh.processing import affine_map, merge_disjoint_meshes
        from meshmode.mesh.tools import rand_rotation_matrix
        meshes = [
            affine_map(base_mesh,
                       A=rand_rotation_matrix(3),
                       b=self.pitch * np.array([(ix - self.nx // 2),
                                                (iy - self.ny // 2),
                                                (iz - self.ny // 2)]))
            for ix in range(self.nx) for iy in range(self.ny)
            for iz in range(self.nz)
        ]

        return merge_disjoint_meshes(meshes, single_group=True)
    def get_mesh(self, resolution, target_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        base_mesh = generate_gmsh(
                FileSource("ellipsoid.step"), 2, order=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        from meshmode.mesh.processing import perform_flips
        # Flip elements--gmsh generates inside-out geometry.
        base_mesh = perform_flips(base_mesh, np.ones(base_mesh.nelements))

        from meshmode.mesh.processing import affine_map, merge_disjoint_meshes
        from meshmode.mesh.tools import rand_rotation_matrix
        pitch = 10
        meshes = [
                affine_map(
                    base_mesh,
                    A=rand_rotation_matrix(3),
                    b=pitch*np.array([
                        (ix-self.nx//2),
                        (iy-self.ny//2),
                        (iz-self.ny//2)]))
                for ix in range(self.nx)
                for iy in range(self.ny)
                for iz in range(self.nz)
                ]

        mesh = merge_disjoint_meshes(meshes, single_group=True)
        return mesh
Exemple #5
0
def test_element_orientation():
    from meshmode.mesh.io import generate_gmsh, FileSource

    mesh_order = 3

    mesh = generate_gmsh(
        FileSource("blob-2d.step"),
        2,
        order=mesh_order,
        force_ambient_dim=2,
        other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"])

    from meshmode.mesh.processing import (perform_flips,
                                          find_volume_mesh_element_orientations
                                          )
    mesh_orient = find_volume_mesh_element_orientations(mesh)

    assert (mesh_orient > 0).all()

    from random import randrange
    flippy = np.zeros(mesh.nelements, np.int8)
    for i in range(int(0.3 * mesh.nelements)):
        flippy[randrange(0, mesh.nelements)] = 1

    mesh = perform_flips(mesh, flippy, skip_tests=True)

    mesh_orient = find_volume_mesh_element_orientations(mesh)

    assert ((mesh_orient < 0) == (flippy > 0)).all()
Exemple #6
0
def test_element_orientation():
    from meshmode.mesh.io import generate_gmsh, FileSource

    mesh_order = 3

    mesh = generate_gmsh(
            FileSource("blob-2d.step"), 2, order=mesh_order,
            force_ambient_dim=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"]
            )

    from meshmode.mesh.processing import (perform_flips,
            find_volume_mesh_element_orientations)
    mesh_orient = find_volume_mesh_element_orientations(mesh)

    assert (mesh_orient > 0).all()

    from random import randrange
    flippy = np.zeros(mesh.nelements, np.int8)
    for i in range(int(0.3*mesh.nelements)):
        flippy[randrange(0, mesh.nelements)] = 1

    mesh = perform_flips(mesh, flippy, skip_tests=True)

    mesh_orient = find_volume_mesh_element_orientations(mesh)

    assert ((mesh_orient < 0) == (flippy > 0)).all()
Exemple #7
0
def gen_blob_mesh(h=0.2, order=1):
    from meshmode.mesh.io import generate_gmsh, FileSource
    return generate_gmsh(
        FileSource("blob-2d.step"),
        2,
        order=order,
        force_ambient_dim=2,
        other_options=["-string",
                       "Mesh.CharacteristicLengthMax = %s;" % h])
    def get_mesh(self, resolution, target_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource("ellipsoid.step"), 2, order=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        from meshmode.mesh.processing import perform_flips
        # Flip elements--gmsh generates inside-out geometry.
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #9
0
def test_quad_mesh_3d(mesh_name, order=3, visualize=False):
    if mesh_name == "ball":
        from meshmode.mesh.io import ScriptWithFilesSource
        script = ScriptWithFilesSource(
            """
            Merge "ball-radius-1.step";
            // Mesh.CharacteristicLengthMax = 0.1;

            Mesh.RecombineAll = 1;
            Mesh.Recombine3DAll = 1;
            Mesh.Recombine3DLevel = 2;

            Mesh.Algorithm = 8;
            Mesh.Algorithm3D = 8;

            Mesh 3;
            Save "output.msh";
            """, ["ball-radius-1.step"])

        with open("ball-quad.geo", "w") as f:
            f.write(script.source)

    elif mesh_name == "cube":
        from meshmode.mesh.io import ScriptSource
        script = ScriptSource(
            """
            SetFactory("OpenCASCADE");
            Box(1) = {0, 0, 0, 1, 1, 1};

            Transfinite Line "*" = 8;
            Transfinite Surface "*";
            Transfinite Volume "*";

            Mesh.RecombineAll = 1;
            Mesh.Recombine3DAll = 1;
            Mesh.Recombine3DLevel = 2;
            """, "geo")
    else:
        raise ValueError(f"unknown mesh name: '{mesh_name}'")

    np.set_printoptions(linewidth=200)
    from meshmode.mesh.io import generate_gmsh
    logger.info("BEGIN GEN")
    mesh = generate_gmsh(script, 3, order=order, target_unit="MM")
    logger.info("END GEN")

    if visualize:
        from meshmode.mesh.visualization import write_vertex_vtk_file
        write_vertex_vtk_file(mesh,
                              f"quad_mesh_3d_{mesh_name}.vtu",
                              overwrite=True)
Exemple #10
0
def test_merge_and_map(ctx_factory, visualize=False):
    from meshmode.mesh.io import generate_gmsh, FileSource
    from meshmode.mesh.generation import generate_box_mesh
    from meshmode.mesh import TensorProductElementGroup
    from meshmode.discretization.poly_element import (
        PolynomialWarpAndBlendGroupFactory,
        LegendreGaussLobattoTensorProductGroupFactory)

    mesh_order = 3

    if 1:
        mesh = generate_gmsh(
            FileSource("blob-2d.step"),
            2,
            order=mesh_order,
            force_ambient_dim=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"])

        discr_grp_factory = PolynomialWarpAndBlendGroupFactory(3)
    else:
        mesh = generate_box_mesh((
            np.linspace(0, 1, 4),
            np.linspace(0, 1, 4),
            np.linspace(0, 1, 4),
        ),
                                 10,
                                 group_factory=TensorProductElementGroup)

        discr_grp_factory = LegendreGaussLobattoTensorProductGroupFactory(3)

    from meshmode.mesh.processing import merge_disjoint_meshes, affine_map
    mesh2 = affine_map(mesh,
                       A=np.eye(mesh.ambient_dim),
                       b=np.array([5, 0, 0])[:mesh.ambient_dim])

    mesh3 = merge_disjoint_meshes((mesh2, mesh))
    mesh3.facial_adjacency_groups

    mesh3.copy()

    if visualize:
        from meshmode.discretization import Discretization
        cl_ctx = ctx_factory()
        queue = cl.CommandQueue(cl_ctx)

        discr = Discretization(cl_ctx, mesh3, discr_grp_factory)

        from meshmode.discretization.visualization import make_visualizer
        vis = make_visualizer(queue, discr, 3, element_shrink_factor=0.8)
        vis.write_vtk_file("merged.vtu", [])
    def get_mesh(self, resolution, target_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(FileSource("ellipsoid.step"),
                             2,
                             order=2,
                             other_options=[
                                 "-string",
                                 "Mesh.CharacteristicLengthMax = %g;" %
                                 resolution
                             ])

        from meshmode.mesh.processing import perform_flips
        # Flip elements--gmsh generates inside-out geometry.
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #12
0
def test_merge_and_map(ctx_factory, visualize=False):
    from meshmode.mesh.io import generate_gmsh, FileSource
    from meshmode.mesh.generation import generate_box_mesh
    from meshmode.mesh import TensorProductElementGroup
    from meshmode.discretization.poly_element import (
            PolynomialWarpAndBlendGroupFactory,
            LegendreGaussLobattoTensorProductGroupFactory)

    mesh_order = 3

    if 1:
        mesh = generate_gmsh(
                FileSource("blob-2d.step"), 2, order=mesh_order,
                force_ambient_dim=2,
                other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"]
                )

        discr_grp_factory = PolynomialWarpAndBlendGroupFactory(3)
    else:
        mesh = generate_box_mesh(
                (
                    np.linspace(0, 1, 4),
                    np.linspace(0, 1, 4),
                    np.linspace(0, 1, 4),
                    ),
                10, group_factory=TensorProductElementGroup)

        discr_grp_factory = LegendreGaussLobattoTensorProductGroupFactory(3)

    from meshmode.mesh.processing import merge_disjoint_meshes, affine_map
    mesh2 = affine_map(mesh,
            A=np.eye(mesh.ambient_dim),
            b=np.array([5, 0, 0])[:mesh.ambient_dim])

    mesh3 = merge_disjoint_meshes((mesh2, mesh))
    mesh3.facial_adjacency_groups

    mesh3.copy()

    if visualize:
        from meshmode.discretization import Discretization
        cl_ctx = ctx_factory()
        queue = cl.CommandQueue(cl_ctx)

        discr = Discretization(cl_ctx, mesh3, discr_grp_factory)

        from meshmode.discretization.visualization import make_visualizer
        vis = make_visualizer(queue, discr, 3, element_shrink_factor=0.8)
        vis.write_vtk_file("merged.vtu", [])
Exemple #13
0
def test_mesh_to_tikz():
    from meshmode.mesh.io import generate_gmsh, FileSource

    h = 0.3
    order = 1

    mesh = generate_gmsh(
            FileSource("../test/blob-2d.step"), 2, order=order,
            force_ambient_dim=2,
            other_options=[
                "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
            )

    from meshmode.mesh.visualization import mesh_to_tikz
    mesh_to_tikz(mesh)
Exemple #14
0
    def get_mesh(self, resolution, target_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource("rounded-cube.step"), 2, order=3,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        from meshmode.mesh.processing import perform_flips, affine_map
        mesh = affine_map(mesh, b=np.array([-0.5, -0.5, -0.5]))
        mesh = affine_map(mesh, A=np.eye(3)*2)

        # now centered at origin and extends to -1,1

        # Flip elements--gmsh generates inside-out geometry.
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #15
0
    def get_mesh(self, resolution, target_order):
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource("rounded-cube.step"), 2, order=3,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        from meshmode.mesh.processing import perform_flips, affine_map
        mesh = affine_map(mesh, b=np.array([-0.5, -0.5, -0.5]))
        mesh = affine_map(mesh, A=np.eye(3)*2)

        # now centered at origin and extends to -1,1

        # Flip elements--gmsh generates inside-out geometry.
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #16
0
def test_quad_mesh_2d():
    from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
        ScriptWithFilesSource(
            """
                Merge "blob-2d.step";
                Mesh.CharacteristicLengthMax = 0.05;
                Recombine Surface "*" = 0.0001;
                Mesh 2;
                Save "output.msh";
                """, ["blob-2d.step"]),
        force_ambient_dim=2,
    )
    print("END GEN")
    print(mesh.nelements)
Exemple #17
0
def test_merge_and_map(actx_factory, group_cls, visualize=False):
    from meshmode.mesh.io import generate_gmsh, FileSource

    order = 3
    mesh_order = 3

    if group_cls is SimplexElementGroup:
        mesh = generate_gmsh(
            FileSource("blob-2d.step"),
            2,
            order=mesh_order,
            force_ambient_dim=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = 0.02;"],
            target_unit="MM",
        )

        discr_grp_factory = PolynomialWarpAndBlendGroupFactory(order)
    else:
        ambient_dim = 3
        mesh = mgen.generate_regular_rect_mesh(a=(0, ) * ambient_dim,
                                               b=(1, ) * ambient_dim,
                                               nelements_per_axis=(4, ) *
                                               ambient_dim,
                                               order=mesh_order,
                                               group_cls=group_cls)

        discr_grp_factory = LegendreGaussLobattoTensorProductGroupFactory(
            order)

    from meshmode.mesh.processing import merge_disjoint_meshes, affine_map
    mesh2 = affine_map(mesh,
                       A=np.eye(mesh.ambient_dim),
                       b=np.array([2, 0, 0])[:mesh.ambient_dim])

    mesh3 = merge_disjoint_meshes((mesh2, mesh))
    assert mesh3.facial_adjacency_groups

    mesh4 = mesh3.copy()

    if visualize:
        from meshmode.discretization import Discretization
        actx = actx_factory()
        discr = Discretization(actx, mesh4, discr_grp_factory)

        from meshmode.discretization.visualization import make_visualizer
        vis = make_visualizer(actx, discr, 3, element_shrink_factor=0.8)
        vis.write_vtk_file("merge_and_map.vtu", [])
Exemple #18
0
def test_quad_mesh():
    from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
            ScriptWithFilesSource(
                """
                Merge "blob-2d.step";
                Mesh.CharacteristicLengthMax = 0.05;
                Recombine Surface "*" = 0.0001;
                Mesh 2;
                Save "output.msh";
                """,
                ["blob-2d.step"]),
            force_ambient_dim=2,
            )
    print("END GEN")
    print(mesh.nelements)
Exemple #19
0
def test_boundary_interpolation(ctx_getter):
    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.mesh.io import generate_gmsh, FileSource
    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            InterpolatoryQuadratureSimplexGroupFactory
    from meshmode.discretization.connection import make_boundary_restriction

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    for h in [1e-1, 3e-2, 1e-2]:
        print("BEGIN GEN")
        mesh = generate_gmsh(
                FileSource("blob-2d.step"), 2, order=order,
                force_ambient_dim=2,
                other_options=[
                    "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
                )
        print("END GEN")

        vol_discr = Discretization(cl_ctx, mesh,
                InterpolatoryQuadratureSimplexGroupFactory(order))
        print("h=%s -> %d elements" % (
                h, sum(mgrp.nelements for mgrp in mesh.groups)))

        x = vol_discr.nodes()[0].with_queue(queue)
        f = 0.1*cl.clmath.sin(30*x)

        bdry_mesh, bdry_discr, bdry_connection = make_boundary_restriction(
                queue, vol_discr, InterpolatoryQuadratureSimplexGroupFactory(order))

        bdry_x = bdry_discr.nodes()[0].with_queue(queue)
        bdry_f = 0.1*cl.clmath.sin(30*bdry_x)
        bdry_f_2 = bdry_connection(queue, f)

        err = la.norm((bdry_f-bdry_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert eoc_rec.order_estimate() >= order-0.5
Exemple #20
0
def test_quad_mesh_2d(ambient_dim, filename, visualize=False):
    from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
    logger.info("BEGIN GEN")

    mesh = generate_gmsh(
        ScriptWithFilesSource(
            f"""
                Merge "{filename}";
                Mesh.CharacteristicLengthMax = 0.05;
                Recombine Surface "*" = 0.0001;
                Mesh 2;
                Save "output.msh";
                """, [filename]),
        order=1,
        force_ambient_dim=ambient_dim,
        target_unit="MM",
    )

    logger.info("END GEN")
    logger.info("nelements: %d", mesh.nelements)

    groups = []
    for grp in mesh.groups:
        if not isinstance(grp, TensorProductElementGroup):
            # NOTE: gmsh isn't guaranteed to recombine all elements, so we
            # could still have some simplices sitting around, so skip them
            groups.append(grp.copy())
            continue

        g = mgen.make_group_from_vertices(mesh.vertices,
                                          grp.vertex_indices,
                                          grp.order,
                                          group_cls=TensorProductElementGroup)
        assert g.nodes.shape == (mesh.ambient_dim, grp.nelements,
                                 grp.nunit_nodes)

        groups.append(g)

    mesh_from_vertices = Mesh(mesh.vertices, groups=groups, is_conforming=True)

    if visualize:
        from meshmode.mesh.visualization import write_vertex_vtk_file
        write_vertex_vtk_file(mesh, "quad_mesh_2d_orig.vtu")
        write_vertex_vtk_file(mesh_from_vertices, "quad_mesh_2d_groups.vtu")
Exemple #21
0
    def get_mesh(self, resolution, target_order):
        from pytools import download_from_web_if_not_present

        download_from_web_if_not_present(
                "https://raw.githubusercontent.com/inducer/geometries/master/"
                "surface-3d/elliptiplane.brep")

        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource("elliptiplane.brep"), 2, order=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        # now centered at origin and extends to -1,1

        # Flip elements--gmsh generates inside-out geometry.
        from meshmode.mesh.processing import perform_flips
        return perform_flips(mesh, np.ones(mesh.nelements))
    def get_mesh(self, resolution, target_order):
        from pytools import download_from_web_if_not_present

        download_from_web_if_not_present(
                "https://raw.githubusercontent.com/inducer/geometries/master/"
                "surface-3d/elliptiplane.brep")

        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource("elliptiplane.brep"), 2, order=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %g;" % resolution])

        # now centered at origin and extends to -1,1

        # Flip elements--gmsh generates inside-out geometry.
        from meshmode.mesh.processing import perform_flips
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #23
0
def test_circle_mesh(do_plot=False):
    from meshmode.mesh.io import generate_gmsh, FileSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
            FileSource("circle.step"), 2, order=2,
            force_ambient_dim=2,
            other_options=[
                "-string", "Mesh.CharacteristicLengthMax = 0.05;"]
            )
    print("END GEN")
    print(mesh.nelements)

    from meshmode.mesh.processing import affine_map
    mesh = affine_map(mesh, A=3*np.eye(2))

    if do_plot:
        from meshmode.mesh.visualization import draw_2d_mesh
        draw_2d_mesh(mesh, fill=None, draw_nodal_adjacency=True,
                set_bounding_box=True)
        import matplotlib.pyplot as pt
        pt.show()
Exemple #24
0
def test_circle_mesh(do_plot=False):
    from meshmode.mesh.io import generate_gmsh, FileSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
            FileSource("circle.step"), 2, order=2,
            force_ambient_dim=2,
            other_options=[
                "-string", "Mesh.CharacteristicLengthMax = 0.05;"]
            )
    print("END GEN")
    print(mesh.nelements)

    from meshmode.mesh.processing import affine_map
    mesh = affine_map(mesh, A=3*np.eye(2))

    if do_plot:
        from meshmode.mesh.visualization import draw_2d_mesh
        draw_2d_mesh(mesh, fill=None, draw_connectivity=True,
                set_bounding_box=True)
        import matplotlib.pyplot as pt
        pt.show()
Exemple #25
0
def test_interpolatory_error_reporting(ctx_factory):
    logging.basicConfig(level=logging.INFO)

    ctx = ctx_factory()
    queue = cl.CommandQueue(ctx)

    h = 0.2
    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
        FileSource("circle.step"),
        2,
        order=4,
        force_ambient_dim=2,
        other_options=["-string",
                       "Mesh.CharacteristicLengthMax = %g;" % h],
        target_unit="mm",
    )

    logger.info("%d elements" % mesh.nelements)

    # {{{ discretizations and connections

    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            QuadratureSimplexGroupFactory

    vol_discr = Discretization(ctx, mesh, QuadratureSimplexGroupFactory(5))

    vol_x = vol_discr.nodes().with_queue(queue)

    # }}}

    from pytential import integral
    rhs = 1 + 0 * vol_x[0]

    one = rhs.copy()
    one.fill(1)
    with pytest.raises(TypeError):
        print("AREA", integral(vol_discr, queue, one), 0.25**2 * np.pi)
Exemple #26
0
def test_interpolatory_error_reporting(ctx_factory):
    logging.basicConfig(level=logging.INFO)

    ctx = ctx_factory()
    queue = cl.CommandQueue(ctx)
    actx = PyOpenCLArrayContext(queue)

    h = 0.2
    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
        FileSource("circle.step"),
        2,
        order=4,
        force_ambient_dim=2,
        other_options=["-string",
                       "Mesh.CharacteristicLengthMax = %g;" % h],
        target_unit="mm",
    )

    logger.info("%d elements" % mesh.nelements)

    # {{{ discretizations and connections

    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            QuadratureSimplexGroupFactory

    vol_discr = Discretization(actx, mesh, QuadratureSimplexGroupFactory(5))

    from meshmode.dof_array import thaw
    vol_x = thaw(actx, vol_discr.nodes())

    # }}}

    from pytential import integral
    one = 1 + 0 * vol_x[0]
    from meshmode.discretization import NoninterpolatoryElementGroupError
    with pytest.raises(NoninterpolatoryElementGroupError):
        print("AREA", integral(vol_discr, one), 0.25**2 * np.pi)
Exemple #27
0
def no_test_quad_mesh_3d():
    from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
        ScriptWithFilesSource(
            """
                Merge "ball-radius-1.step";
                // Mesh.CharacteristicLengthMax = 0.1;

                Mesh.RecombineAll=1;
                Mesh.Recombine3DAll=1;
                Mesh.Algorithm = 8;
                Mesh.Algorithm3D = 9;
                // Mesh.Smoothing = 0;

                // Mesh.ElementOrder = 3;

                Mesh 3;
                Save "output.msh";
                """, ["ball-radius-1.step"]), )
    print("END GEN")
    print(mesh.nelements)
Exemple #28
0
    def get_mesh(self, resolution, mesh_order):
        from meshmode.mesh.io import ScriptSource
        source = ScriptSource(
            """
            SetFactory("OpenCASCADE");
            Sphere(1) = {{0, 0, 0, {r}}};
            Dilate {{ {{0, 0, 0}}, {{ {r}, {r}, {rr} }} }} {{ Volume{{1}}; }}
            """.format(r=self.diameter, rr=self.aspect_ratio * self.diameter),
            "geo")

        from meshmode.mesh.io import generate_gmsh
        mesh = generate_gmsh(source,
                             2,
                             order=mesh_order,
                             other_options=[
                                 "-optimize_ho", "-string",
                                 "Mesh.CharacteristicLengthMax = %g;" %
                                 resolution
                             ],
                             target_unit="MM")

        from meshmode.mesh.processing import perform_flips
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #29
0
def no_test_quad_mesh_3d():
    from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
    print("BEGIN GEN")
    mesh = generate_gmsh(
            ScriptWithFilesSource(
                """
                Merge "ball-radius-1.step";
                // Mesh.CharacteristicLengthMax = 0.1;

                Mesh.RecombineAll=1;
                Mesh.Recombine3DAll=1;
                Mesh.Algorithm = 8;
                Mesh.Algorithm3D = 9;
                // Mesh.Smoothing = 0;

                // Mesh.ElementOrder = 3;

                Mesh 3;
                Save "output.msh";
                """,
                ["ball-radius-1.step"]),
            )
    print("END GEN")
    print(mesh.nelements)
Exemple #30
0
def test_opposite_face_interpolation(ctx_getter, group_factory,
        mesh_name, dim, mesh_pars):
    logging.basicConfig(level=logging.INFO)

    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
            make_face_restriction, make_opposite_face_connection,
            check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 5

    def f(x):
        return 0.1*cl.clmath.sin(30*x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(
                    FileSource("blob-2d.step"), 2, order=order,
                    force_ambient_dim=2,
                    other_options=[
                        "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
                    )
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1/mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh,
                group_factory(order))
        print("h=%s -> %d elements" % (
                h, sum(mgrp.nelements for mgrp in mesh.groups)))

        bdry_connection = make_face_restriction(
                vol_discr, group_factory(order),
                FRESTR_INTERIOR_FACES)
        bdry_discr = bdry_connection.to_discr

        opp_face = make_opposite_face_connection(bdry_connection)
        check_connection(opp_face)

        bdry_x = bdry_discr.nodes()[0].with_queue(queue)
        bdry_f = f(bdry_x)

        bdry_f_2 = opp_face(queue, bdry_f)

        err = la.norm((bdry_f-bdry_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (
            eoc_rec.order_estimate() >= order-0.5
            or eoc_rec.max_error() < 1e-13)
Exemple #31
0
def test_sanity_balls(ctx_getter, src_file, dim, mesh_order, visualize=False):
    pytest.importorskip("pytential")

    logging.basicConfig(level=logging.INFO)

    ctx = ctx_getter()
    queue = cl.CommandQueue(ctx)

    from pytools.convergence import EOCRecorder
    vol_eoc_rec = EOCRecorder()
    surf_eoc_rec = EOCRecorder()

    # overkill
    quad_order = mesh_order

    from pytential import bind, sym

    for h in [0.2, 0.14, 0.1]:
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(FileSource(src_file),
                             dim,
                             order=mesh_order,
                             other_options=[
                                 "-string",
                                 "Mesh.CharacteristicLengthMax = %g;" % h
                             ],
                             force_ambient_dim=dim)

        logger.info("%d elements" % mesh.nelements)

        # {{{ discretizations and connections

        from meshmode.discretization import Discretization
        vol_discr = Discretization(
            ctx, mesh, InterpolatoryQuadratureSimplexGroupFactory(quad_order))

        from meshmode.discretization.connection import make_face_restriction
        bdry_connection = make_face_restriction(
            vol_discr, InterpolatoryQuadratureSimplexGroupFactory(quad_order),
            BTAG_ALL)
        bdry_discr = bdry_connection.to_discr

        # }}}

        # {{{ visualizers

        from meshmode.discretization.visualization import make_visualizer
        vol_vis = make_visualizer(queue, vol_discr, 20)
        bdry_vis = make_visualizer(queue, bdry_discr, 20)

        # }}}

        from math import gamma
        true_surf = 2 * np.pi**(dim / 2) / gamma(dim / 2)
        true_vol = true_surf / dim

        vol_x = vol_discr.nodes().with_queue(queue)

        vol_one = vol_x[0].copy()
        vol_one.fill(1)
        from pytential import norm, integral  # noqa

        comp_vol = integral(vol_discr, queue, vol_one)
        rel_vol_err = abs(true_vol - comp_vol) / true_vol
        vol_eoc_rec.add_data_point(h, rel_vol_err)
        print("VOL", true_vol, comp_vol)

        bdry_x = bdry_discr.nodes().with_queue(queue)

        bdry_one_exact = bdry_x[0].copy()
        bdry_one_exact.fill(1)

        bdry_one = bdry_connection(queue, vol_one).with_queue(queue)
        intp_err = norm(bdry_discr, queue, bdry_one - bdry_one_exact)
        assert intp_err < 1e-14

        comp_surf = integral(bdry_discr, queue, bdry_one)
        rel_surf_err = abs(true_surf - comp_surf) / true_surf
        surf_eoc_rec.add_data_point(h, rel_surf_err)
        print("SURF", true_surf, comp_surf)

        if visualize:
            vol_vis.write_vtk_file("volume-h=%g.vtu" % h, [
                ("f", vol_one),
                ("area_el", bind(vol_discr, sym.area_element())(queue)),
            ])
            bdry_vis.write_vtk_file("boundary-h=%g.vtu" % h, [("f", bdry_one)])

        # {{{ check normals point outward

        normal_outward_check = bind(
            bdry_discr,
            sym.normal(mesh.ambient_dim) | sym.nodes(mesh.ambient_dim),
        )(queue).as_scalar() > 0

        assert normal_outward_check.get().all(), normal_outward_check.get()

        # }}}

    print("---------------------------------")
    print("VOLUME")
    print("---------------------------------")
    print(vol_eoc_rec)
    assert vol_eoc_rec.order_estimate() >= mesh_order

    print("---------------------------------")
    print("SURFACE")
    print("---------------------------------")
    print(surf_eoc_rec)
    assert surf_eoc_rec.order_estimate() >= mesh_order
Exemple #32
0
def test_opposite_face_interpolation(ctx_getter, group_factory, mesh_name, dim,
                                     mesh_pars):
    logging.basicConfig(level=logging.INFO)

    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
        make_face_restriction, make_opposite_face_connection, check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 5

    def f(x):
        return 0.1 * cl.clmath.sin(30 * x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(FileSource("blob-2d.step"),
                                 2,
                                 order=order,
                                 force_ambient_dim=2,
                                 other_options=[
                                     "-string",
                                     "Mesh.CharacteristicLengthMax = %s;" % h
                                 ])
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1 / mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh, group_factory(order))
        print("h=%s -> %d elements" %
              (h, sum(mgrp.nelements for mgrp in mesh.groups)))

        bdry_connection = make_face_restriction(vol_discr,
                                                group_factory(order),
                                                FRESTR_INTERIOR_FACES)
        bdry_discr = bdry_connection.to_discr

        opp_face = make_opposite_face_connection(bdry_connection)
        check_connection(opp_face)

        bdry_x = bdry_discr.nodes()[0].with_queue(queue)
        bdry_f = f(bdry_x)

        bdry_f_2 = opp_face(queue, bdry_f)

        err = la.norm((bdry_f - bdry_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (eoc_rec.order_estimate() >= order - 0.5
            or eoc_rec.max_error() < 1e-13)
    def get_mesh(self, resolution, target_order):
        from pytools import download_from_web_if_not_present

        download_from_web_if_not_present(
            "https://raw.githubusercontent.com/inducer/geometries/a869fc3/"
            "surface-3d/betterplane.brep")

        from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
        mesh = generate_gmsh(
            ScriptWithFilesSource(
                """
                    Merge "betterplane.brep";

                    Mesh.CharacteristicLengthMax = %(lcmax)f;
                    Mesh.ElementOrder = 2;
                    Mesh.CharacteristicLengthExtendFromBoundary = 0;

                    // 2D mesh optimization
                    // Mesh.Lloyd = 1;

                    l_superfine() = Unique(Abs(Boundary{ Surface{
                        27, 25, 17, 13, 18  }; }));
                    l_fine() = Unique(Abs(Boundary{ Surface{ 2, 6, 7}; }));
                    l_coarse() = Unique(Abs(Boundary{ Surface{ 14, 16  }; }));

                    // p() = Unique(Abs(Boundary{ Line{l_fine()}; }));
                    // Characteristic Length{p()} = 0.05;

                    Field[1] = Attractor;
                    Field[1].NNodesByEdge = 100;
                    Field[1].EdgesList = {l_superfine()};

                    Field[2] = Threshold;
                    Field[2].IField = 1;
                    Field[2].LcMin = 0.075;
                    Field[2].LcMax = %(lcmax)f;
                    Field[2].DistMin = 0.1;
                    Field[2].DistMax = 0.4;

                    Field[3] = Attractor;
                    Field[3].NNodesByEdge = 100;
                    Field[3].EdgesList = {l_fine()};

                    Field[4] = Threshold;
                    Field[4].IField = 3;
                    Field[4].LcMin = 0.1;
                    Field[4].LcMax = %(lcmax)f;
                    Field[4].DistMin = 0.15;
                    Field[4].DistMax = 0.4;

                    Field[5] = Attractor;
                    Field[5].NNodesByEdge = 100;
                    Field[5].EdgesList = {l_coarse()};

                    Field[6] = Threshold;
                    Field[6].IField = 5;
                    Field[6].LcMin = 0.15;
                    Field[6].LcMax = %(lcmax)f;
                    Field[6].DistMin = 0.2;
                    Field[6].DistMax = 0.4;

                    Field[7] = Min;
                    Field[7].FieldsList = {2, 4, 6};

                    Background Field = 7;
                    """ % {
                    "lcmax": resolution,
                }, ["betterplane.brep"]), 2)

        # Flip elements--gmsh generates inside-out geometry.
        from meshmode.mesh.processing import perform_flips
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #34
0
def test_sanity_balls(actx_factory,
                      src_file,
                      dim,
                      mesh_order,
                      visualize=False):
    pytest.importorskip("pytential")

    logging.basicConfig(level=logging.INFO)
    actx = actx_factory()

    from pytools.convergence import EOCRecorder
    vol_eoc_rec = EOCRecorder()
    surf_eoc_rec = EOCRecorder()

    # overkill
    quad_order = mesh_order

    from pytential import bind, sym

    for h in [0.2, 0.1, 0.05]:
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(FileSource(src_file),
                             dim,
                             order=mesh_order,
                             other_options=[
                                 "-string",
                                 "Mesh.CharacteristicLengthMax = %g;" % h
                             ],
                             force_ambient_dim=dim,
                             target_unit="MM")

        logger.info("%d elements", mesh.nelements)

        # {{{ discretizations and connections

        from meshmode.discretization import Discretization
        vol_discr = Discretization(
            actx, mesh, InterpolatoryQuadratureSimplexGroupFactory(quad_order))

        from meshmode.discretization.connection import make_face_restriction
        bdry_connection = make_face_restriction(
            actx, vol_discr,
            InterpolatoryQuadratureSimplexGroupFactory(quad_order), BTAG_ALL)
        bdry_discr = bdry_connection.to_discr

        # }}}

        from math import gamma
        true_surf = 2 * np.pi**(dim / 2) / gamma(dim / 2)
        true_vol = true_surf / dim

        vol_x = thaw(vol_discr.nodes(), actx)

        vol_one = vol_x[0] * 0 + 1
        from pytential import norm, integral  # noqa

        comp_vol = integral(vol_discr, vol_one)
        rel_vol_err = abs(true_vol - comp_vol) / true_vol
        vol_eoc_rec.add_data_point(h, rel_vol_err)
        print("VOL", true_vol, comp_vol)

        bdry_x = thaw(bdry_discr.nodes(), actx)

        bdry_one_exact = bdry_x[0] * 0 + 1

        bdry_one = bdry_connection(vol_one)
        intp_err = norm(bdry_discr, bdry_one - bdry_one_exact)
        assert intp_err < 1e-14

        comp_surf = integral(bdry_discr, bdry_one)
        rel_surf_err = abs(true_surf - comp_surf) / true_surf
        surf_eoc_rec.add_data_point(h, rel_surf_err)
        print("SURF", true_surf, comp_surf)

        if visualize:
            from meshmode.discretization.visualization import make_visualizer
            vol_vis = make_visualizer(actx, vol_discr, 7)
            bdry_vis = make_visualizer(actx, bdry_discr, 7)

            name = src_file.split("-")[0]
            vol_vis.write_vtk_file(f"sanity_balls_volume_{name}_{h:g}.vtu", [
                ("f", vol_one),
                ("area_el",
                 bind(vol_discr,
                      sym.area_element(mesh.ambient_dim,
                                       mesh.ambient_dim))(actx)),
            ])

            bdry_vis.write_vtk_file(f"sanity_balls_boundary_{name}_{h:g}.vtu",
                                    [("f", bdry_one)])

        # {{{ check normals point outward

        normal_outward_check = bind(
            bdry_discr,
            sym.normal(mesh.ambient_dim) | sym.nodes(mesh.ambient_dim),
        )(actx).as_scalar()

        normal_outward_check = flatten_to_numpy(actx, normal_outward_check > 0)
        assert normal_outward_check.all(), normal_outward_check

        # }}}

    print("---------------------------------")
    print("VOLUME")
    print("---------------------------------")
    print(vol_eoc_rec)
    assert vol_eoc_rec.order_estimate() >= mesh_order

    print("---------------------------------")
    print("SURFACE")
    print("---------------------------------")
    print(surf_eoc_rec)
    assert surf_eoc_rec.order_estimate() >= mesh_order
Exemple #35
0
def test_opposite_face_interpolation(actx_factory, group_factory, mesh_name,
                                     dim, mesh_pars):
    if (group_factory is LegendreGaussLobattoTensorProductGroupFactory
            and mesh_name in ["segment", "blob"]):
        pytest.skip("tensor products not implemented on blobs")

    logging.basicConfig(level=logging.INFO)
    actx = actx_factory()

    if group_factory is LegendreGaussLobattoTensorProductGroupFactory:
        group_cls = TensorProductElementGroup
    else:
        group_cls = SimplexElementGroup

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
        make_face_restriction, make_opposite_face_connection, check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 5

    def f(x):
        return 0.1 * actx.np.sin(30 * x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "segment":
            assert dim == 1

            mesh = mgen.generate_box_mesh([np.linspace(-0.5, 0.5, mesh_par)],
                                          order=order,
                                          group_cls=group_cls)
            h = 1.0 / mesh_par
        elif mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(
                FileSource("blob-2d.step"),
                2,
                order=order,
                force_ambient_dim=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %s;" % h
                ],
                target_unit="MM",
            )
            print("END GEN")
        elif mesh_name == "warp":
            mesh = mgen.generate_warped_rect_mesh(dim,
                                                  order=order,
                                                  nelements_side=mesh_par,
                                                  group_cls=group_cls)

            h = 1 / mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(actx, mesh, group_factory(order))
        print("h=%s -> %d elements" %
              (h, sum(mgrp.nelements for mgrp in mesh.groups)))

        bdry_connection = make_face_restriction(actx, vol_discr,
                                                group_factory(order),
                                                FACE_RESTR_INTERIOR)
        bdry_discr = bdry_connection.to_discr

        opp_face = make_opposite_face_connection(actx, bdry_connection)
        check_connection(actx, opp_face)

        bdry_x = thaw(bdry_discr.nodes()[0], actx)
        bdry_f = f(bdry_x)
        bdry_f_2 = opp_face(bdry_f)

        err = flat_norm(bdry_f - bdry_f_2, np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (eoc_rec.order_estimate() >= order - 0.5
            or eoc_rec.max_error() < 1.7e-13)
Exemple #36
0
def test_all_faces_interpolation(actx_factory, group_factory, mesh_name, dim,
                                 mesh_pars, per_face_groups):
    if (group_factory is LegendreGaussLobattoTensorProductGroupFactory
            and mesh_name == "blob"):
        pytest.skip("tensor products not implemented on blobs")

    actx = actx_factory()

    if group_factory is LegendreGaussLobattoTensorProductGroupFactory:
        group_cls = TensorProductElementGroup
    else:
        group_cls = SimplexElementGroup

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
        make_face_restriction, make_face_to_all_faces_embedding,
        check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    def f(x):
        return 0.1 * actx.np.sin(30 * x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(
                FileSource("blob-2d.step"),
                2,
                order=order,
                force_ambient_dim=2,
                other_options=[
                    "-string",
                    "Mesh.CharacteristicLengthMax = %s;" % h
                ],
                target_unit="MM",
            )
            print("END GEN")
        elif mesh_name == "warp":
            mesh = mgen.generate_warped_rect_mesh(dim,
                                                  order=4,
                                                  nelements_side=mesh_par,
                                                  group_cls=group_cls)

            h = 1 / mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(actx, mesh, group_factory(order))
        print("h=%s -> %d elements" %
              (h, sum(mgrp.nelements for mgrp in mesh.groups)))

        all_face_bdry_connection = make_face_restriction(
            actx,
            vol_discr,
            group_factory(order),
            FACE_RESTR_ALL,
            per_face_groups=per_face_groups)
        all_face_bdry_discr = all_face_bdry_connection.to_discr

        for ito_grp, ceg in enumerate(all_face_bdry_connection.groups):
            for ibatch, batch in enumerate(ceg.batches):
                assert np.array_equal(
                    actx.to_numpy(actx.thaw(batch.from_element_indices)),
                    np.arange(vol_discr.mesh.nelements))

                if per_face_groups:
                    assert ito_grp == batch.to_element_face
                else:
                    assert ibatch == batch.to_element_face

        all_face_x = thaw(all_face_bdry_discr.nodes()[0], actx)
        all_face_f = f(all_face_x)

        all_face_f_2 = all_face_bdry_discr.zeros(actx)

        for boundary_tag in [
                BTAG_ALL,
                FACE_RESTR_INTERIOR,
        ]:
            bdry_connection = make_face_restriction(
                actx,
                vol_discr,
                group_factory(order),
                boundary_tag,
                per_face_groups=per_face_groups)
            bdry_discr = bdry_connection.to_discr

            bdry_x = thaw(bdry_discr.nodes()[0], actx)
            bdry_f = f(bdry_x)

            all_face_embedding = make_face_to_all_faces_embedding(
                actx, bdry_connection, all_face_bdry_discr)

            check_connection(actx, all_face_embedding)

            all_face_f_2 = all_face_f_2 + all_face_embedding(bdry_f)

        err = flat_norm(all_face_f - all_face_f_2, np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (eoc_rec.order_estimate() >= order - 0.5
            or eoc_rec.max_error() < 1e-14)
Exemple #37
0
def main():
    # cl.array.to_device(queue, numpy_array)
    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
        FileSource("ellipsoid.step"),
        2,
        order=2,
        other_options=["-string",
                       "Mesh.CharacteristicLengthMax = %g;" % h])

    from meshmode.mesh.processing import perform_flips
    # Flip elements--gmsh generates inside-out geometry.
    mesh = perform_flips(mesh, np.ones(mesh.nelements))

    print("%d elements" % mesh.nelements)

    from meshmode.mesh.processing import find_bounding_box
    bbox_min, bbox_max = find_bounding_box(mesh)
    bbox_center = 0.5 * (bbox_min + bbox_max)
    bbox_size = max(bbox_max - bbox_min) / 2

    logger.info("%d elements" % mesh.nelements)

    from pytential.qbx import QBXLayerPotentialSource
    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            InterpolatoryQuadratureSimplexGroupFactory

    density_discr = Discretization(
        cl_ctx, mesh, InterpolatoryQuadratureSimplexGroupFactory(target_order))

    qbx = QBXLayerPotentialSource(density_discr,
                                  4 * target_order,
                                  qbx_order,
                                  fmm_order=qbx_order + 10,
                                  fmm_backend="fmmlib")

    from pytential.symbolic.pde.maxwell import MuellerAugmentedMFIEOperator
    pde_op = MuellerAugmentedMFIEOperator(
        omega=0.4,
        epss=[1.4, 1.0],
        mus=[1.2, 1.0],
    )
    from pytential import bind, sym

    unk = pde_op.make_unknown("sigma")
    sym_operator = pde_op.operator(unk)
    sym_rhs = pde_op.rhs(sym.make_sym_vector("Einc", 3),
                         sym.make_sym_vector("Hinc", 3))
    sym_repr = pde_op.representation(0, unk)

    if 1:
        expr = sym_repr
        print(sym.pretty(expr))

        print("#" * 80)
        from pytential.target import PointsTarget

        tgt_points = np.zeros((3, 1))
        tgt_points[0, 0] = 100
        tgt_points[1, 0] = -200
        tgt_points[2, 0] = 300

        bound_op = bind((qbx, PointsTarget(tgt_points)), expr)
        print(bound_op.code)

    if 1:

        def green3e(x, y, z, source, strength, k):
            # electric field corresponding to dyadic green's function
            # due to monochromatic electric dipole located at "source".
            # "strength" is the the intensity of the dipole.
            #  E = (I + Hess)(exp(ikr)/r) dot (strength)
            #
            dx = x - source[0]
            dy = y - source[1]
            dz = z - source[2]
            rr = np.sqrt(dx**2 + dy**2 + dz**2)

            fout = np.exp(1j * k * rr) / rr
            evec = fout * strength
            qmat = np.zeros((3, 3), dtype=np.complex128)

            qmat[0, 0] = (2 * dx**2 - dy**2 - dz**2) * (1 - 1j * k * rr)
            qmat[1, 1] = (2 * dy**2 - dz**2 - dx**2) * (1 - 1j * k * rr)
            qmat[2, 2] = (2 * dz**2 - dx**2 - dy**2) * (1 - 1j * k * rr)

            qmat[0, 0] = qmat[0, 0] + (-k**2 * dx**2 * rr**2)
            qmat[1, 1] = qmat[1, 1] + (-k**2 * dy**2 * rr**2)
            qmat[2, 2] = qmat[2, 2] + (-k**2 * dz**2 * rr**2)

            qmat[0, 1] = (3 - k**2 * rr**2 - 3 * 1j * k * rr) * (dx * dy)
            qmat[1, 2] = (3 - k**2 * rr**2 - 3 * 1j * k * rr) * (dy * dz)
            qmat[2, 0] = (3 - k**2 * rr**2 - 3 * 1j * k * rr) * (dz * dx)

            qmat[1, 0] = qmat[0, 1]
            qmat[2, 1] = qmat[1, 2]
            qmat[0, 2] = qmat[2, 0]

            fout = np.exp(1j * k * rr) / rr**5 / k**2

            fvec = fout * np.dot(qmat, strength)
            evec = evec + fvec
            return evec

        def green3m(x, y, z, source, strength, k):
            # magnetic field corresponding to dyadic green's function
            # due to monochromatic electric dipole located at "source".
            # "strength" is the the intensity of the dipole.
            #  H = curl((I + Hess)(exp(ikr)/r) dot (strength)) =
            #  strength \cross \grad (exp(ikr)/r)
            #
            dx = x - source[0]
            dy = y - source[1]
            dz = z - source[2]
            rr = np.sqrt(dx**2 + dy**2 + dz**2)

            fout = (1 - 1j * k * rr) * np.exp(1j * k * rr) / rr**3
            fvec = np.zeros(3, dtype=np.complex128)
            fvec[0] = fout * dx
            fvec[1] = fout * dy
            fvec[2] = fout * dz

            hvec = np.cross(strength, fvec)

            return hvec

        def dipole3e(x, y, z, source, strength, k):
            #
            #  evalaute electric and magnetic field due
            #  to monochromatic electric dipole located at "source"
            #  with intensity "strength"

            evec = green3e(x, y, z, source, strength, k)
            evec = evec * 1j * k
            hvec = green3m(x, y, z, source, strength, k)
            return evec, hvec

        def dipole3m(x, y, z, source, strength, k):
            #
            #  evalaute electric and magnetic field due
            #  to monochromatic magnetic dipole located at "source"
            #  with intensity "strength"
            evec = green3m(x, y, z, source, strength, k)
            hvec = green3e(x, y, z, source, strength, k)
            hvec = -hvec * 1j * k
            return evec, hvec

        def dipole3eall(x, y, z, sources, strengths, k):
            ns = len(strengths)
            evec = np.zeros(3, dtype=np.complex128)
            hvec = np.zeros(3, dtype=np.complex128)

            for i in range(ns):
                evect, hvect = dipole3e(x, y, z, sources[i], strengths[i], k)
                evec = evec + evect
                hvec = hvec + hvect

        nodes = density_discr.nodes().with_queue(queue).get()
        source = [0.01, -0.03, 0.02]
        #        source = cl.array.to_device(queue,np.zeros(3))
        #        source[0] = 0.01
        #        source[1] =-0.03
        #        source[2] = 0.02
        strength = np.ones(3)

        #        evec = cl.array.to_device(queue,np.zeros((3,len(nodes[0])),dtype=np.complex128))
        #        hvec = cl.array.to_device(queue,np.zeros((3,len(nodes[0])),dtype=np.complex128))

        evec = np.zeros((3, len(nodes[0])), dtype=np.complex128)
        hvec = np.zeros((3, len(nodes[0])), dtype=np.complex128)
        for i in range(len(nodes[0])):
            evec[:, i], hvec[:, i] = dipole3e(nodes[0][i], nodes[1][i],
                                              nodes[2][i], source, strength, k)
        print(np.shape(hvec))
        print(type(evec))
        print(type(hvec))

        evec = cl.array.to_device(queue, evec)
        hvec = cl.array.to_device(queue, hvec)

        bvp_rhs = bind(qbx, sym_rhs)(queue, Einc=evec, Hinc=hvec)
        print(np.shape(bvp_rhs))
        print(type(bvp_rhs))
        #        print(bvp_rhs)
        1 / -1

        bound_op = bind(qbx, sym_operator)

        from pytential.solve import gmres
        if 0:
            gmres_result = gmres(bound_op.scipy_op(queue,
                                                   "sigma",
                                                   dtype=np.complex128,
                                                   k=k),
                                 bvp_rhs,
                                 tol=1e-8,
                                 progress=True,
                                 stall_iterations=0,
                                 hard_failure=True)

            sigma = gmres_result.solution

        fld_at_tgt = bind((qbx, PointsTarget(tgt_points)),
                          sym_repr)(queue, sigma=bvp_rhs, k=k)
        fld_at_tgt = np.array([fi.get() for fi in fld_at_tgt])
        print(fld_at_tgt)
        1 / 0

    # }}}

    #mlab.figure(bgcolor=(1, 1, 1))
    if 1:
        from meshmode.discretization.visualization import make_visualizer
        bdry_vis = make_visualizer(queue, density_discr, target_order)

        bdry_normals = bind(density_discr, sym.normal(3))(queue)\
                .as_vector(dtype=object)

        bdry_vis.write_vtk_file("source.vtu", [
            ("sigma", sigma),
            ("bdry_normals", bdry_normals),
        ])

        fplot = FieldPlotter(bbox_center,
                             extent=2 * bbox_size,
                             npoints=(150, 150, 1))

        qbx_tgt_tol = qbx.copy(target_association_tolerance=0.1)
        from pytential.target import PointsTarget
        from pytential.qbx import QBXTargetAssociationFailedException

        rho_sym = sym.var("rho")

        try:
            fld_in_vol = bind((qbx_tgt_tol, PointsTarget(fplot.points)),
                              sym.make_obj_array([
                                  sym.S(pde_op.kernel,
                                        rho_sym,
                                        k=sym.var("k"),
                                        qbx_forced_limit=None),
                                  sym.d_dx(
                                      3,
                                      sym.S(pde_op.kernel,
                                            rho_sym,
                                            k=sym.var("k"),
                                            qbx_forced_limit=None)),
                                  sym.d_dy(
                                      3,
                                      sym.S(pde_op.kernel,
                                            rho_sym,
                                            k=sym.var("k"),
                                            qbx_forced_limit=None)),
                                  sym.d_dz(
                                      3,
                                      sym.S(pde_op.kernel,
                                            rho_sym,
                                            k=sym.var("k"),
                                            qbx_forced_limit=None)),
                              ]))(queue, jt=jt, rho=rho, k=k)
        except QBXTargetAssociationFailedException as e:
            fplot.write_vtk_file(
                "failed-targets.vts",
                [("failed_targets", e.failed_target_flags.get(queue))])
            raise

        fld_in_vol = sym.make_obj_array([fiv.get() for fiv in fld_in_vol])

        #fplot.show_scalar_in_mayavi(fld_in_vol.real, max_val=5)
        fplot.write_vtk_file("potential.vts", [
            ("potential", fld_in_vol[0]),
            ("grad", fld_in_vol[1:]),
        ])
Exemple #38
0
def test_sanity_balls(ctx_getter, src_file, dim, mesh_order,
        visualize=False):
    pytest.importorskip("pytential")

    logging.basicConfig(level=logging.INFO)

    ctx = ctx_getter()
    queue = cl.CommandQueue(ctx)

    from pytools.convergence import EOCRecorder
    vol_eoc_rec = EOCRecorder()
    surf_eoc_rec = EOCRecorder()

    # overkill
    quad_order = mesh_order

    from pytential import bind, sym

    for h in [0.2, 0.14, 0.1]:
        from meshmode.mesh.io import generate_gmsh, FileSource
        mesh = generate_gmsh(
                FileSource(src_file), dim, order=mesh_order,
                other_options=["-string", "Mesh.CharacteristicLengthMax = %g;" % h],
                force_ambient_dim=dim)

        logger.info("%d elements" % mesh.nelements)

        # {{{ discretizations and connections

        from meshmode.discretization import Discretization
        from meshmode.discretization.poly_element import \
                InterpolatoryQuadratureSimplexGroupFactory
        vol_discr = Discretization(ctx, mesh,
                InterpolatoryQuadratureSimplexGroupFactory(quad_order))

        from meshmode.discretization.connection import make_boundary_restriction
        bdry_mesh, bdry_discr, bdry_connection = make_boundary_restriction(
                queue, vol_discr,
                InterpolatoryQuadratureSimplexGroupFactory(quad_order))

        # }}}

        # {{{ visualizers

        from meshmode.discretization.visualization import make_visualizer
        vol_vis = make_visualizer(queue, vol_discr, 20)
        bdry_vis = make_visualizer(queue, bdry_discr, 20)

        # }}}

        from math import gamma
        true_surf = 2*np.pi**(dim/2)/gamma(dim/2)
        true_vol = true_surf/dim

        vol_x = vol_discr.nodes().with_queue(queue)

        vol_one = vol_x[0].copy()
        vol_one.fill(1)
        from pytential import norm, integral  # noqa

        comp_vol = integral(vol_discr, queue, vol_one)
        rel_vol_err = abs(true_vol - comp_vol) / true_vol
        vol_eoc_rec.add_data_point(h, rel_vol_err)
        print("VOL", true_vol, comp_vol)

        bdry_x = bdry_discr.nodes().with_queue(queue)

        bdry_one_exact = bdry_x[0].copy()
        bdry_one_exact.fill(1)

        bdry_one = bdry_connection(queue, vol_one).with_queue(queue)
        intp_err = norm(bdry_discr, queue, bdry_one-bdry_one_exact)
        assert intp_err < 1e-14

        comp_surf = integral(bdry_discr, queue, bdry_one)
        rel_surf_err = abs(true_surf - comp_surf) / true_surf
        surf_eoc_rec.add_data_point(h, rel_surf_err)
        print("SURF", true_surf, comp_surf)

        if visualize:
            vol_vis.write_vtk_file("volume-h=%g.vtu" % h, [
                ("f", vol_one),
                ("area_el", bind(vol_discr, sym.area_element())(queue)),
                ])
            bdry_vis.write_vtk_file("boundary-h=%g.vtu" % h, [("f", bdry_one)])

        # {{{ check normals point outward

        normal_outward_check = bind(bdry_discr,
                sym.normal() | sym.Nodes(),
                )(queue).as_scalar() > 0

        assert normal_outward_check.get().all(), normal_outward_check.get()

        # }}}

    print("---------------------------------")
    print("VOLUME")
    print("---------------------------------")
    print(vol_eoc_rec)
    assert vol_eoc_rec.order_estimate() >= mesh_order

    print("---------------------------------")
    print("SURFACE")
    print("---------------------------------")
    print(surf_eoc_rec)
    assert surf_eoc_rec.order_estimate() >= mesh_order
Exemple #39
0
def test_boundary_interpolation(ctx_getter, group_factory, boundary_tag,
                                mesh_name, dim, mesh_pars, per_face_groups):
    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (make_face_restriction,
                                                    check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    def f(x):
        return 0.1 * cl.clmath.sin(30 * x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(FileSource("blob-2d.step"),
                                 2,
                                 order=order,
                                 force_ambient_dim=2,
                                 other_options=[
                                     "-string",
                                     "Mesh.CharacteristicLengthMax = %s;" % h
                                 ])
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1 / mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh, group_factory(order))
        print("h=%s -> %d elements" %
              (h, sum(mgrp.nelements for mgrp in mesh.groups)))

        x = vol_discr.nodes()[0].with_queue(queue)
        vol_f = f(x)

        bdry_connection = make_face_restriction(
            vol_discr,
            group_factory(order),
            boundary_tag,
            per_face_groups=per_face_groups)
        check_connection(bdry_connection)
        bdry_discr = bdry_connection.to_discr

        bdry_x = bdry_discr.nodes()[0].with_queue(queue)
        bdry_f = f(bdry_x)
        bdry_f_2 = bdry_connection(queue, vol_f)

        if mesh_name == "blob" and dim == 2:
            mat = bdry_connection.full_resample_matrix(queue).get(queue)
            bdry_f_2_by_mat = mat.dot(vol_f.get())

            mat_error = la.norm(bdry_f_2.get(queue=queue) - bdry_f_2_by_mat)
            assert mat_error < 1e-14, mat_error

        err = la.norm((bdry_f - bdry_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (eoc_rec.order_estimate() >= order - 0.5
            or eoc_rec.max_error() < 1e-14)
Exemple #40
0
qbx_order = 2
nelements = 60
mode_nr = 0

h = 0.4

k = 0
if k:
    kernel = HelmholtzKernel("k")
else:
    kernel = LaplaceKernel()
#kernel = OneKernel()

from meshmode.mesh.io import generate_gmsh, FileSource
mesh = generate_gmsh(
        FileSource("molecule.step"), 2, order=2,
        other_options=["-string", "Mesh.CharacteristicLengthMax = %g;" % h])

from meshmode.mesh.processing import find_bounding_box
bbox_min, bbox_max = find_bounding_box(mesh)
bbox_center = 0.5*(bbox_min+bbox_max)
bbox_size = max(bbox_max-bbox_min) / 2

logger.info("%d elements" % mesh.nelements)

from pytential.qbx import QBXLayerPotentialSource
from meshmode.discretization import Discretization
from meshmode.discretization.poly_element import \
        InterpolatoryQuadratureSimplexGroupFactory

density_discr = Discretization(
Exemple #41
0
def main(mesh_name="ellipsoid"):
    import logging
    logger = logging.getLogger(__name__)
    logging.basicConfig(level=logging.WARNING)  # INFO for more progress info

    cl_ctx = cl.create_some_context()
    queue = cl.CommandQueue(cl_ctx)
    actx = PyOpenCLArrayContext(queue)

    if mesh_name == "ellipsoid":
        cad_file_name = "geometries/ellipsoid.step"
        h = 0.6
    elif mesh_name == "two-cylinders":
        cad_file_name = "geometries/two-cylinders-smooth.step"
        h = 0.4
    else:
        raise ValueError("unknown mesh name: %s" % mesh_name)

    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
        FileSource(cad_file_name),
        2,
        order=2,
        other_options=["-string",
                       "Mesh.CharacteristicLengthMax = %g;" % h],
        target_unit="MM")

    from meshmode.mesh.processing import perform_flips
    # Flip elements--gmsh generates inside-out geometry.
    mesh = perform_flips(mesh, np.ones(mesh.nelements))

    from meshmode.mesh.processing import find_bounding_box
    bbox_min, bbox_max = find_bounding_box(mesh)
    bbox_center = 0.5 * (bbox_min + bbox_max)
    bbox_size = max(bbox_max - bbox_min) / 2

    logger.info("%d elements" % mesh.nelements)

    from pytential.qbx import QBXLayerPotentialSource
    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            InterpolatoryQuadratureSimplexGroupFactory

    density_discr = Discretization(
        actx, mesh, InterpolatoryQuadratureSimplexGroupFactory(target_order))

    qbx = QBXLayerPotentialSource(density_discr,
                                  4 * target_order,
                                  qbx_order,
                                  fmm_order=qbx_order + 3,
                                  target_association_tolerance=0.15)

    from pytential.target import PointsTarget
    fplot = FieldPlotter(bbox_center, extent=3.5 * bbox_size, npoints=150)

    from pytential import GeometryCollection
    places = GeometryCollection(
        {
            "qbx": qbx,
            "targets": PointsTarget(fplot.points)
        }, auto_where="qbx")
    density_discr = places.get_discretization("qbx")

    nodes = thaw(actx, density_discr.nodes())
    angle = actx.np.arctan2(nodes[1], nodes[0])

    if k:
        kernel = HelmholtzKernel(3)
    else:
        kernel = LaplaceKernel(3)

    #op = sym.d_dx(sym.S(kernel, sym.var("sigma"), qbx_forced_limit=None))
    op = sym.D(kernel, sym.var("sigma"), qbx_forced_limit=None)
    #op = sym.S(kernel, sym.var("sigma"), qbx_forced_limit=None)

    sigma = actx.np.cos(mode_nr * angle)
    if 0:
        from meshmode.dof_array import flatten, unflatten
        sigma = flatten(0 * angle)
        from random import randrange
        for i in range(5):
            sigma[randrange(len(sigma))] = 1
        sigma = unflatten(actx, density_discr, sigma)

    if isinstance(kernel, HelmholtzKernel):
        for i, elem in np.ndenumerate(sigma):
            sigma[i] = elem.astype(np.complex128)

    fld_in_vol = actx.to_numpy(
        bind(places, op, auto_where=("qbx", "targets"))(actx, sigma=sigma,
                                                        k=k))

    #fplot.show_scalar_in_mayavi(fld_in_vol.real, max_val=5)
    fplot.write_vtk_file("layerpot-3d-potential.vts",
                         [("potential", fld_in_vol)])

    bdry_normals = bind(places, sym.normal(
        density_discr.ambient_dim))(actx).as_vector(dtype=object)

    from meshmode.discretization.visualization import make_visualizer
    bdry_vis = make_visualizer(actx, density_discr, target_order)
    bdry_vis.write_vtk_file("layerpot-3d-density.vtu", [
        ("sigma", sigma),
        ("bdry_normals", bdry_normals),
    ])
    def get_mesh(self, resolution, target_order):
        from pytools import download_from_web_if_not_present

        download_from_web_if_not_present(
                "https://raw.githubusercontent.com/inducer/geometries/a869fc3/"
                "surface-3d/betterplane.brep")

        from meshmode.mesh.io import generate_gmsh, ScriptWithFilesSource
        mesh = generate_gmsh(
                ScriptWithFilesSource("""
                    Merge "betterplane.brep";

                    Mesh.CharacteristicLengthMax = %(lcmax)f;
                    Mesh.ElementOrder = 2;
                    Mesh.CharacteristicLengthExtendFromBoundary = 0;

                    // 2D mesh optimization
                    // Mesh.Lloyd = 1;

                    l_superfine() = Unique(Abs(Boundary{ Surface{
                        27, 25, 17, 13, 18  }; }));
                    l_fine() = Unique(Abs(Boundary{ Surface{ 2, 6, 7}; }));
                    l_coarse() = Unique(Abs(Boundary{ Surface{ 14, 16  }; }));

                    // p() = Unique(Abs(Boundary{ Line{l_fine()}; }));
                    // Characteristic Length{p()} = 0.05;

                    Field[1] = Attractor;
                    Field[1].NNodesByEdge = 100;
                    Field[1].EdgesList = {l_superfine()};

                    Field[2] = Threshold;
                    Field[2].IField = 1;
                    Field[2].LcMin = 0.075;
                    Field[2].LcMax = %(lcmax)f;
                    Field[2].DistMin = 0.1;
                    Field[2].DistMax = 0.4;

                    Field[3] = Attractor;
                    Field[3].NNodesByEdge = 100;
                    Field[3].EdgesList = {l_fine()};

                    Field[4] = Threshold;
                    Field[4].IField = 3;
                    Field[4].LcMin = 0.1;
                    Field[4].LcMax = %(lcmax)f;
                    Field[4].DistMin = 0.15;
                    Field[4].DistMax = 0.4;

                    Field[5] = Attractor;
                    Field[5].NNodesByEdge = 100;
                    Field[5].EdgesList = {l_coarse()};

                    Field[6] = Threshold;
                    Field[6].IField = 5;
                    Field[6].LcMin = 0.15;
                    Field[6].LcMax = %(lcmax)f;
                    Field[6].DistMin = 0.2;
                    Field[6].DistMax = 0.4;

                    Field[7] = Min;
                    Field[7].FieldsList = {2, 4, 6};

                    Background Field = 7;
                    """ % {
                        "lcmax": resolution,
                        }, ["betterplane.brep"]), 2)

        # Flip elements--gmsh generates inside-out geometry.
        from meshmode.mesh.processing import perform_flips
        return perform_flips(mesh, np.ones(mesh.nelements))
Exemple #43
0
from meshmode.mesh.io import generate_gmsh, FileSource

h = 0.3
order = 1

mesh = generate_gmsh(
        FileSource("../test/blob-2d.step"), 2, order=order,
        force_ambient_dim=2,
        other_options=[
            "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
        )

from meshmode.mesh.visualization import mesh_to_tikz
print(mesh_to_tikz(mesh))
Exemple #44
0
def test_boundary_interpolation(ctx_getter, group_factory, boundary_tag,
        mesh_name, dim, mesh_pars, per_face_groups):
    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
            make_face_restriction, check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    def f(x):
        return 0.1*cl.clmath.sin(30*x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(
                    FileSource("blob-2d.step"), 2, order=order,
                    force_ambient_dim=2,
                    other_options=[
                        "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
                    )
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1/mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh,
                group_factory(order))
        print("h=%s -> %d elements" % (
                h, sum(mgrp.nelements for mgrp in mesh.groups)))

        x = vol_discr.nodes()[0].with_queue(queue)
        vol_f = f(x)

        bdry_connection = make_face_restriction(
                vol_discr, group_factory(order),
                boundary_tag, per_face_groups=per_face_groups)
        check_connection(bdry_connection)
        bdry_discr = bdry_connection.to_discr

        bdry_x = bdry_discr.nodes()[0].with_queue(queue)
        bdry_f = f(bdry_x)
        bdry_f_2 = bdry_connection(queue, vol_f)

        if mesh_name == "blob" and dim == 2:
            mat = bdry_connection.full_resample_matrix(queue).get(queue)
            bdry_f_2_by_mat = mat.dot(vol_f.get())

            mat_error = la.norm(bdry_f_2.get(queue=queue) - bdry_f_2_by_mat)
            assert mat_error < 1e-14, mat_error

        err = la.norm((bdry_f-bdry_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (
            eoc_rec.order_estimate() >= order-0.5
            or eoc_rec.max_error() < 1e-14)
Exemple #45
0
def main():
    # cl.array.to_device(queue, numpy_array)
    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
            FileSource("ellipsoid.step"), 2, order=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = %g;" % h])

    from meshmode.mesh.processing import perform_flips
    # Flip elements--gmsh generates inside-out geometry.
    mesh = perform_flips(mesh, np.ones(mesh.nelements))

    print("%d elements" % mesh.nelements)

    from meshmode.mesh.processing import find_bounding_box
    bbox_min, bbox_max = find_bounding_box(mesh)
    bbox_center = 0.5*(bbox_min+bbox_max)
    bbox_size = max(bbox_max-bbox_min) / 2

    logger.info("%d elements" % mesh.nelements)

    from pytential.qbx import QBXLayerPotentialSource
    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            InterpolatoryQuadratureSimplexGroupFactory

    density_discr = Discretization(
            cl_ctx, mesh, InterpolatoryQuadratureSimplexGroupFactory(target_order))

    qbx = QBXLayerPotentialSource(density_discr, 4*target_order, qbx_order,
            fmm_order=qbx_order + 10, fmm_backend="fmmlib")

    from pytential.symbolic.pde.maxwell import MuellerAugmentedMFIEOperator
    pde_op = MuellerAugmentedMFIEOperator(
            omega=0.4,
            epss=[1.4, 1.0],
            mus=[1.2, 1.0],
            )
    from pytential import bind, sym

    unk = pde_op.make_unknown("sigma")
    sym_operator = pde_op.operator(unk)
    sym_rhs = pde_op.rhs(
            sym.make_sym_vector("Einc", 3),
            sym.make_sym_vector("Hinc", 3))
    sym_repr = pde_op.representation(0, unk)

    if 1:
        expr = sym_repr
        print(sym.pretty(expr))

        print("#"*80)
        from pytential.target import PointsTarget

        tgt_points=np.zeros((3,1))
        tgt_points[0,0] = 100
        tgt_points[1,0] = -200
        tgt_points[2,0] = 300

        bound_op = bind((qbx, PointsTarget(tgt_points)), expr)
        print(bound_op.code)

    if 1:

        def green3e(x,y,z,source,strength,k):
        # electric field corresponding to dyadic green's function
        # due to monochromatic electric dipole located at "source".
        # "strength" is the the intensity of the dipole.
        #  E = (I + Hess)(exp(ikr)/r) dot (strength)
        #
            dx = x - source[0]
            dy = y - source[1]
            dz = z - source[2]
            rr = np.sqrt(dx**2 + dy**2 + dz**2)

            fout = np.exp(1j*k*rr)/rr
            evec = fout*strength
            qmat = np.zeros((3,3),dtype=np.complex128)

            qmat[0,0]=(2*dx**2-dy**2-dz**2)*(1-1j*k*rr)
            qmat[1,1]=(2*dy**2-dz**2-dx**2)*(1-1j*k*rr)
            qmat[2,2]=(2*dz**2-dx**2-dy**2)*(1-1j*k*rr)

            qmat[0,0]=qmat[0,0]+(-k**2*dx**2*rr**2)
            qmat[1,1]=qmat[1,1]+(-k**2*dy**2*rr**2)
            qmat[2,2]=qmat[2,2]+(-k**2*dz**2*rr**2)

            qmat[0,1]=(3-k**2*rr**2-3*1j*k*rr)*(dx*dy)
            qmat[1,2]=(3-k**2*rr**2-3*1j*k*rr)*(dy*dz)
            qmat[2,0]=(3-k**2*rr**2-3*1j*k*rr)*(dz*dx)

            qmat[1,0]=qmat[0,1]
            qmat[2,1]=qmat[1,2]
            qmat[0,2]=qmat[2,0]

            fout=np.exp(1j*k*rr)/rr**5/k**2

            fvec = fout*np.dot(qmat,strength)
            evec = evec + fvec
            return evec

        def green3m(x,y,z,source,strength,k):
        # magnetic field corresponding to dyadic green's function
        # due to monochromatic electric dipole located at "source".
        # "strength" is the the intensity of the dipole.
        #  H = curl((I + Hess)(exp(ikr)/r) dot (strength)) = 
        #  strength \cross \grad (exp(ikr)/r)
        #
            dx = x - source[0]
            dy = y - source[1]
            dz = z - source[2]
            rr = np.sqrt(dx**2 + dy**2 + dz**2)

            fout=(1-1j*k*rr)*np.exp(1j*k*rr)/rr**3
            fvec = np.zeros(3,dtype=np.complex128)
            fvec[0] = fout*dx
            fvec[1] = fout*dy
            fvec[2] = fout*dz

            hvec = np.cross(strength,fvec)

            return hvec

        def dipole3e(x,y,z,source,strength,k):
        #
        #  evalaute electric and magnetic field due
        #  to monochromatic electric dipole located at "source"
        #  with intensity "strength"

            evec = green3e(x,y,z,source,strength,k)
            evec = evec*1j*k
            hvec = green3m(x,y,z,source,strength,k)
            return evec,hvec
            
        def dipole3m(x,y,z,source,strength,k):
        #
        #  evalaute electric and magnetic field due
        #  to monochromatic magnetic dipole located at "source"
        #  with intensity "strength"
            evec = green3m(x,y,z,source,strength,k)
            hvec = green3e(x,y,z,source,strength,k)
            hvec = -hvec*1j*k
            return evec,hvec
            

        def dipole3eall(x,y,z,sources,strengths,k):
            ns = len(strengths)
            evec = np.zeros(3,dtype=np.complex128)
            hvec = np.zeros(3,dtype=np.complex128)

            for i in range(ns):
                evect,hvect = dipole3e(x,y,z,sources[i],strengths[i],k)
                evec = evec + evect
                hvec = hvec + hvect

        nodes = density_discr.nodes().with_queue(queue).get()
        source = [0.01,-0.03,0.02]
#        source = cl.array.to_device(queue,np.zeros(3))
#        source[0] = 0.01
#        source[1] =-0.03
#        source[2] = 0.02
        strength = np.ones(3)
       
#        evec = cl.array.to_device(queue,np.zeros((3,len(nodes[0])),dtype=np.complex128))
#        hvec = cl.array.to_device(queue,np.zeros((3,len(nodes[0])),dtype=np.complex128))

        evec = np.zeros((3,len(nodes[0])),dtype=np.complex128)
        hvec = np.zeros((3,len(nodes[0])),dtype=np.complex128)
        for i in range(len(nodes[0])):
            evec[:,i],hvec[:,i] = dipole3e(nodes[0][i],nodes[1][i],nodes[2][i],source,strength,k)
        print(np.shape(hvec))
        print(type(evec))
        print(type(hvec))

        evec = cl.array.to_device(queue,evec)
        hvec = cl.array.to_device(queue,hvec)

        bvp_rhs = bind(qbx, sym_rhs)(queue,Einc=evec,Hinc=hvec)
        print(np.shape(bvp_rhs))
        print(type(bvp_rhs))
#        print(bvp_rhs)
        1/-1

        bound_op = bind(qbx, sym_operator)

        from pytential.solve import gmres
        if 0:
            gmres_result = gmres(
                bound_op.scipy_op(queue, "sigma", dtype=np.complex128, k=k),
                bvp_rhs, tol=1e-8, progress=True,
                stall_iterations=0,
                hard_failure=True)

            sigma = gmres_result.solution

        fld_at_tgt = bind((qbx, PointsTarget(tgt_points)), sym_repr)(queue,
        sigma=bvp_rhs,k=k)
        fld_at_tgt = np.array([
            fi.get() for fi in fld_at_tgt
            ])
        print(fld_at_tgt)
        1/0

    # }}}

    #mlab.figure(bgcolor=(1, 1, 1))
    if 1:
        from meshmode.discretization.visualization import make_visualizer
        bdry_vis = make_visualizer(queue, density_discr, target_order)

        bdry_normals = bind(density_discr, sym.normal(3))(queue)\
                .as_vector(dtype=object)

        bdry_vis.write_vtk_file("source.vtu", [
            ("sigma", sigma),
            ("bdry_normals", bdry_normals),
            ])

        fplot = FieldPlotter(bbox_center, extent=2*bbox_size, npoints=(150, 150, 1))

        qbx_tgt_tol = qbx.copy(target_association_tolerance=0.1)
        from pytential.target import PointsTarget
        from pytential.qbx import QBXTargetAssociationFailedException

        rho_sym = sym.var("rho")

        try:
            fld_in_vol = bind(
                    (qbx_tgt_tol, PointsTarget(fplot.points)),
                    sym.make_obj_array([
                        sym.S(pde_op.kernel, rho_sym, k=sym.var("k"),
                            qbx_forced_limit=None),
                        sym.d_dx(3, sym.S(pde_op.kernel, rho_sym, k=sym.var("k"),
                            qbx_forced_limit=None)),
                        sym.d_dy(3, sym.S(pde_op.kernel, rho_sym, k=sym.var("k"),
                            qbx_forced_limit=None)),
                        sym.d_dz(3, sym.S(pde_op.kernel, rho_sym, k=sym.var("k"),
                            qbx_forced_limit=None)),
                        ])
                    )(queue, jt=jt, rho=rho, k=k)
        except QBXTargetAssociationFailedException as e:
            fplot.write_vtk_file(
                    "failed-targets.vts",
                    [
                        ("failed_targets", e.failed_target_flags.get(queue))
                        ])
            raise

        fld_in_vol = sym.make_obj_array(
            [fiv.get() for fiv in fld_in_vol])

        #fplot.show_scalar_in_mayavi(fld_in_vol.real, max_val=5)
        fplot.write_vtk_file(
                "potential.vts",
                [
                    ("potential", fld_in_vol[0]),
                    ("grad", fld_in_vol[1:]),
                    ]
                )
Exemple #46
0
def test_all_faces_interpolation(ctx_getter, mesh_name, dim, mesh_pars,
        per_face_groups):
    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
            make_face_restriction, make_face_to_all_faces_embedding,
            check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    def f(x):
        return 0.1*cl.clmath.sin(30*x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(
                    FileSource("blob-2d.step"), 2, order=order,
                    force_ambient_dim=2,
                    other_options=[
                        "-string", "Mesh.CharacteristicLengthMax = %s;" % h]
                    )
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1/mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh,
                PolynomialWarpAndBlendGroupFactory(order))
        print("h=%s -> %d elements" % (
                h, sum(mgrp.nelements for mgrp in mesh.groups)))

        all_face_bdry_connection = make_face_restriction(
                vol_discr, PolynomialWarpAndBlendGroupFactory(order),
                FRESTR_ALL_FACES, per_face_groups=per_face_groups)
        all_face_bdry_discr = all_face_bdry_connection.to_discr

        for ito_grp, ceg in enumerate(all_face_bdry_connection.groups):
            for ibatch, batch in enumerate(ceg.batches):
                assert np.array_equal(
                        batch.from_element_indices.get(queue),
                        np.arange(vol_discr.mesh.nelements))

                if per_face_groups:
                    assert ito_grp == batch.to_element_face
                else:
                    assert ibatch == batch.to_element_face

        all_face_x = all_face_bdry_discr.nodes()[0].with_queue(queue)
        all_face_f = f(all_face_x)

        all_face_f_2 = all_face_bdry_discr.zeros(queue)

        for boundary_tag in [
                BTAG_ALL,
                FRESTR_INTERIOR_FACES,
                ]:
            bdry_connection = make_face_restriction(
                    vol_discr, PolynomialWarpAndBlendGroupFactory(order),
                    boundary_tag, per_face_groups=per_face_groups)
            bdry_discr = bdry_connection.to_discr

            bdry_x = bdry_discr.nodes()[0].with_queue(queue)
            bdry_f = f(bdry_x)

            all_face_embedding = make_face_to_all_faces_embedding(
                    bdry_connection, all_face_bdry_discr)

            check_connection(all_face_embedding)

            all_face_f_2 += all_face_embedding(queue, bdry_f)

        err = la.norm((all_face_f-all_face_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (
            eoc_rec.order_estimate() >= order-0.5
            or eoc_rec.max_error() < 1e-14)
Exemple #47
0
def main():
    import logging
    logging.basicConfig(level=logging.INFO)

    ctx = cl.create_some_context()
    queue = cl.CommandQueue(ctx)

    mesh = generate_gmsh(
            FileSource("circle.step"), 2, order=mesh_order,
            force_ambient_dim=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = %g;" % h]
            )

    logger.info("%d elements" % mesh.nelements)

    # {{{ discretizations and connections

    vol_discr = Discretization(ctx, mesh,
            InterpolatoryQuadratureSimplexGroupFactory(vol_quad_order))
    ovsmp_vol_discr = Discretization(ctx, mesh,
            InterpolatoryQuadratureSimplexGroupFactory(vol_ovsmp_quad_order))

    from meshmode.discretization.connection import (
            make_boundary_restriction, make_same_mesh_connection)
    bdry_mesh, bdry_discr, bdry_connection = make_boundary_restriction(
            queue, vol_discr,
            InterpolatoryQuadratureSimplexGroupFactory(bdry_quad_order))

    vol_to_ovsmp_vol = make_same_mesh_connection(
            queue, ovsmp_vol_discr, vol_discr)

    # }}}

    # {{{ visualizers

    vol_vis = make_visualizer(queue, vol_discr, 20)
    bdry_vis = make_visualizer(queue, bdry_discr, 20)

    # }}}

    vol_x = vol_discr.nodes().with_queue(queue)
    ovsmp_vol_x = ovsmp_vol_discr.nodes().with_queue(queue)

    rhs = rhs_func(vol_x[0], vol_x[1])
    poisson_true_sol = sol_func(vol_x[0], vol_x[1])

    vol_vis.write_vtk_file("volume.vtu", [("f", rhs)])

    bdry_normals = bind(bdry_discr, p.normal())(queue).as_vector(dtype=object)
    bdry_vis.write_vtk_file("boundary.vtu", [
        ("normals", bdry_normals)
        ])

    bdry_nodes = bdry_discr.nodes().with_queue(queue)
    bdry_f = rhs_func(bdry_nodes[0], bdry_nodes[1])
    bdry_f_2 = bdry_connection(queue, rhs)

    bdry_vis.write_vtk_file("y.vtu", [("f", bdry_f_2)])

    if 0:
        vol_vis.show_scalar_in_mayavi(rhs, do_show=False)
        bdry_vis.show_scalar_in_mayavi(bdry_f - bdry_f_2, line_width=10,
                do_show=False)

        import mayavi.mlab as mlab
        mlab.colorbar()
        mlab.show()

    # {{{ compute volume potential

    from sumpy.qbx import LayerPotential
    from sumpy.expansion.local import LineTaylorLocalExpansion

    def get_kernel():
        from sumpy.symbolic import pymbolic_real_norm_2
        from pymbolic.primitives import (make_sym_vector, Variable as var)

        r = pymbolic_real_norm_2(make_sym_vector("d", 3))
        expr = var("log")(r)
        scaling = 1/(2*var("pi"))

        from sumpy.kernel import ExpressionKernel
        return ExpressionKernel(
                dim=3,
                expression=expr,
                scaling=scaling,
                is_complex_valued=False)

    laplace_2d_in_3d_kernel = get_kernel()

    layer_pot = LayerPotential(ctx, [
        LineTaylorLocalExpansion(laplace_2d_in_3d_kernel,
            order=vol_qbx_order)])

    targets = cl.array.zeros(queue, (3,) + vol_x.shape[1:], vol_x.dtype)
    targets[:2] = vol_x

    center_dist = np.min(
            cl.clmath.sqrt(
                bind(vol_discr, p.area_element())(queue)).get())

    centers = make_obj_array([ci.copy().reshape(vol_discr.nnodes) for ci in targets])
    centers[2][:] = center_dist

    sources = cl.array.zeros(queue, (3,) + ovsmp_vol_x.shape[1:], ovsmp_vol_x.dtype)
    sources[:2] = ovsmp_vol_x

    ovsmp_rhs = vol_to_ovsmp_vol(queue, rhs)
    ovsmp_vol_weights = bind(ovsmp_vol_discr, p.area_element() * p.QWeight())(queue)

    evt, (vol_pot,) = layer_pot(
            queue,
            targets=targets.reshape(3, vol_discr.nnodes),
            centers=centers,
            sources=sources.reshape(3, ovsmp_vol_discr.nnodes),
            strengths=(
                (ovsmp_vol_weights*ovsmp_rhs).reshape(ovsmp_vol_discr.nnodes),)
            )

    vol_pot_bdry = bdry_connection(queue, vol_pot)

    # }}}

    # {{{ solve bvp

    from sumpy.kernel import LaplaceKernel
    from pytential.symbolic.pde.scalar import DirichletOperator
    op = DirichletOperator(LaplaceKernel(2), -1, use_l2_weighting=True)

    sym_sigma = sym.var("sigma")
    op_sigma = op.operator(sym_sigma)

    from pytential.qbx import QBXLayerPotentialSource
    qbx = QBXLayerPotentialSource(
            bdry_discr, fine_order=bdry_ovsmp_quad_order, qbx_order=qbx_order,
            fmm_order=fmm_order
            )

    bound_op = bind(qbx, op_sigma)

    poisson_bc = poisson_bc_func(bdry_nodes[0], bdry_nodes[1])
    bvp_bc = poisson_bc - vol_pot_bdry
    bdry_f = rhs_func(bdry_nodes[0], bdry_nodes[1])

    bvp_rhs = bind(bdry_discr, op.prepare_rhs(sym.var("bc")))(queue, bc=bvp_bc)

    from pytential.solve import gmres
    gmres_result = gmres(
            bound_op.scipy_op(queue, "sigma"),
            bvp_rhs, tol=1e-14, progress=True,
            hard_failure=False)

    sigma = gmres_result.solution
    print("gmres state:", gmres_result.state)

    # }}}

    bvp_sol = bind(
            (qbx, vol_discr),
            op.representation(sym_sigma))(queue, sigma=sigma)

    poisson_sol = bvp_sol + vol_pot
    poisson_err = poisson_sol-poisson_true_sol

    rel_err = (
            norm(vol_discr, queue, poisson_err)
            /
            norm(vol_discr, queue, poisson_true_sol))
    bdry_vis.write_vtk_file("poisson-boundary.vtu", [
        ("vol_pot_bdry", vol_pot_bdry),
        ("sigma", sigma),
        ])

    vol_vis.write_vtk_file("poisson-volume.vtu", [
        ("bvp_sol", bvp_sol),
        ("poisson_sol", poisson_sol),
        ("poisson_true_sol", poisson_true_sol),
        ("poisson_err", poisson_err),
        ("vol_pot", vol_pot),
        ("rhs", rhs),
        ])

    print("h = %s" % h)
    print("mesh_order = %s" % mesh_order)
    print("vol_quad_order = %s" % vol_quad_order)
    print("vol_ovsmp_quad_order = %s" % vol_ovsmp_quad_order)
    print("bdry_quad_order = %s" % bdry_quad_order)
    print("bdry_ovsmp_quad_order = %s" % bdry_ovsmp_quad_order)
    print("qbx_order = %s" % qbx_order)
    print("vol_qbx_order = %s" % vol_qbx_order)
    print("fmm_order = %s" % fmm_order)
    print()
    print("rel err: %g" % rel_err)
Exemple #48
0
def test_all_faces_interpolation(ctx_getter, mesh_name, dim, mesh_pars,
                                 per_face_groups):
    cl_ctx = ctx_getter()
    queue = cl.CommandQueue(cl_ctx)

    from meshmode.discretization import Discretization
    from meshmode.discretization.connection import (
        make_face_restriction, make_face_to_all_faces_embedding,
        check_connection)

    from pytools.convergence import EOCRecorder
    eoc_rec = EOCRecorder()

    order = 4

    def f(x):
        return 0.1 * cl.clmath.sin(30 * x)

    for mesh_par in mesh_pars:
        # {{{ get mesh

        if mesh_name == "blob":
            assert dim == 2

            h = mesh_par

            from meshmode.mesh.io import generate_gmsh, FileSource
            print("BEGIN GEN")
            mesh = generate_gmsh(FileSource("blob-2d.step"),
                                 2,
                                 order=order,
                                 force_ambient_dim=2,
                                 other_options=[
                                     "-string",
                                     "Mesh.CharacteristicLengthMax = %s;" % h
                                 ])
            print("END GEN")
        elif mesh_name == "warp":
            from meshmode.mesh.generation import generate_warped_rect_mesh
            mesh = generate_warped_rect_mesh(dim, order=4, n=mesh_par)

            h = 1 / mesh_par
        else:
            raise ValueError("mesh_name not recognized")

        # }}}

        vol_discr = Discretization(cl_ctx, mesh,
                                   PolynomialWarpAndBlendGroupFactory(order))
        print("h=%s -> %d elements" %
              (h, sum(mgrp.nelements for mgrp in mesh.groups)))

        all_face_bdry_connection = make_face_restriction(
            vol_discr,
            PolynomialWarpAndBlendGroupFactory(order),
            FRESTR_ALL_FACES,
            per_face_groups=per_face_groups)
        all_face_bdry_discr = all_face_bdry_connection.to_discr

        for ito_grp, ceg in enumerate(all_face_bdry_connection.groups):
            for ibatch, batch in enumerate(ceg.batches):
                assert np.array_equal(batch.from_element_indices.get(queue),
                                      np.arange(vol_discr.mesh.nelements))

                if per_face_groups:
                    assert ito_grp == batch.to_element_face
                else:
                    assert ibatch == batch.to_element_face

        all_face_x = all_face_bdry_discr.nodes()[0].with_queue(queue)
        all_face_f = f(all_face_x)

        all_face_f_2 = all_face_bdry_discr.zeros(queue)

        for boundary_tag in [
                BTAG_ALL,
                FRESTR_INTERIOR_FACES,
        ]:
            bdry_connection = make_face_restriction(
                vol_discr,
                PolynomialWarpAndBlendGroupFactory(order),
                boundary_tag,
                per_face_groups=per_face_groups)
            bdry_discr = bdry_connection.to_discr

            bdry_x = bdry_discr.nodes()[0].with_queue(queue)
            bdry_f = f(bdry_x)

            all_face_embedding = make_face_to_all_faces_embedding(
                bdry_connection, all_face_bdry_discr)

            check_connection(all_face_embedding)

            all_face_f_2 += all_face_embedding(queue, bdry_f)

        err = la.norm((all_face_f - all_face_f_2).get(), np.inf)
        eoc_rec.add_data_point(h, err)

    print(eoc_rec)
    assert (eoc_rec.order_estimate() >= order - 0.5
            or eoc_rec.max_error() < 1e-14)
Exemple #49
0
def main():
    import logging
    logger = logging.getLogger(__name__)
    logging.basicConfig(level=logging.WARNING)  # INFO for more progress info

    from meshmode.mesh.io import generate_gmsh, FileSource
    mesh = generate_gmsh(
            FileSource(cad_file_name), 2, order=2,
            other_options=["-string", "Mesh.CharacteristicLengthMax = %g;" % h])

    from meshmode.mesh.processing import perform_flips
    # Flip elements--gmsh generates inside-out geometry.
    mesh = perform_flips(mesh, np.ones(mesh.nelements))

    from meshmode.mesh.processing import find_bounding_box
    bbox_min, bbox_max = find_bounding_box(mesh)
    bbox_center = 0.5*(bbox_min+bbox_max)
    bbox_size = max(bbox_max-bbox_min) / 2

    logger.info("%d elements" % mesh.nelements)

    from pytential.qbx import QBXLayerPotentialSource
    from meshmode.discretization import Discretization
    from meshmode.discretization.poly_element import \
            InterpolatoryQuadratureSimplexGroupFactory

    density_discr = Discretization(
            cl_ctx, mesh, InterpolatoryQuadratureSimplexGroupFactory(target_order))

    qbx, _ = QBXLayerPotentialSource(density_discr, 4*target_order, qbx_order,
            fmm_order=qbx_order + 3,
            target_association_tolerance=0.15).with_refinement()

    nodes = density_discr.nodes().with_queue(queue)

    angle = cl.clmath.atan2(nodes[1], nodes[0])

    from pytential import bind, sym
    #op = sym.d_dx(sym.S(kernel, sym.var("sigma"), qbx_forced_limit=None))
    op = sym.D(kernel, sym.var("sigma"), qbx_forced_limit=None)
    #op = sym.S(kernel, sym.var("sigma"), qbx_forced_limit=None)

    sigma = cl.clmath.cos(mode_nr*angle)
    if 0:
        sigma = 0*angle
        from random import randrange
        for i in range(5):
            sigma[randrange(len(sigma))] = 1

    if isinstance(kernel, HelmholtzKernel):
        sigma = sigma.astype(np.complex128)

    fplot = FieldPlotter(bbox_center, extent=3.5*bbox_size, npoints=150)

    from pytential.target import PointsTarget
    fld_in_vol = bind(
            (qbx, PointsTarget(fplot.points)),
            op)(queue, sigma=sigma, k=k).get()

    #fplot.show_scalar_in_mayavi(fld_in_vol.real, max_val=5)
    fplot.write_vtk_file(
            "potential-3d.vts",
            [
                ("potential", fld_in_vol)
                ]
            )

    bdry_normals = bind(
            density_discr,
            sym.normal(density_discr.ambient_dim))(queue).as_vector(dtype=object)

    from meshmode.discretization.visualization import make_visualizer
    bdry_vis = make_visualizer(queue, density_discr, target_order)

    bdry_vis.write_vtk_file("source-3d.vtu", [
        ("sigma", sigma),
        ("bdry_normals", bdry_normals),
        ])
Exemple #50
0
from meshmode.mesh.io import generate_gmsh, FileSource
from meshmode.mesh.visualization import mesh_to_tikz

h = 0.3
order = 1

mesh = generate_gmsh(
    FileSource("../test/blob-2d.step"),
    2,
    order=order,
    force_ambient_dim=2,
    other_options=["-string",
                   "Mesh.CharacteristicLengthMax = %s;" % h])

print(mesh_to_tikz(mesh))