test_grudge.py

__copyright__ = """
Copyright (C) 2015 Andreas Kloeckner
Copyright (C) 2021 University of Illinois Board of Trustees
"""

__license__ = """
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
"""

import numpy as np
import numpy.linalg as la

from grudge.array_context import PytestPyOpenCLArrayContextFactory
from arraycontext import pytest_generate_tests_for_array_contexts
pytest_generate_tests = pytest_generate_tests_for_array_contexts(
        [PytestPyOpenCLArrayContextFactory])

from arraycontext.container.traversal import thaw

from meshmode import _acf           # noqa: F401
from meshmode.dof_array import flat_norm
import meshmode.mesh.generation as mgen

from pytools.obj_array import flat_obj_array

from grudge import DiscretizationCollection

import grudge.dof_desc as dof_desc
import grudge.op as op


import pytest

import logging

logger = logging.getLogger(__name__)


# {{{ inverse metric

@pytest.mark.parametrize("dim", [2, 3])
def test_inverse_metric(actx_factory, dim):
    actx = actx_factory()

    mesh = mgen.generate_regular_rect_mesh(a=(-0.5,)*dim, b=(0.5,)*dim,
            nelements_per_axis=(6,)*dim, order=4)

    def m(x):
        result = np.empty_like(x)
        result[0] = (
                1.5*x[0] + np.cos(x[0])
                + 0.1*np.sin(10*x[1]))
        result[1] = (
                0.05*np.cos(10*x[0])
                + 1.3*x[1] + np.sin(x[1]))
        if len(x) == 3:
            result[2] = x[2]
        return result

    from meshmode.mesh.processing import map_mesh
    mesh = map_mesh(mesh, m)

    dcoll = DiscretizationCollection(actx, mesh, order=4)

    from grudge.geometry import \
        forward_metric_derivative_mat, inverse_metric_derivative_mat

    mat = forward_metric_derivative_mat(actx, dcoll).dot(
        inverse_metric_derivative_mat(actx, dcoll))

    for i in range(mesh.dim):
        for j in range(mesh.dim):
            tgt = 1 if i == j else 0

            err = flat_norm(mat[i, j] - tgt, ord=np.inf)
            logger.info("error[%d, %d]: %.5e", i, j, err)
            assert err < 1.0e-12, (i, j, err)

# }}}


# {{{ mass operator trig integration

@pytest.mark.parametrize("ambient_dim", [1, 2, 3])
@pytest.mark.parametrize("discr_tag", [dof_desc.DISCR_TAG_BASE,
                                       dof_desc.DISCR_TAG_QUAD])
def test_mass_mat_trig(actx_factory, ambient_dim, discr_tag):
    """Check the integral of some trig functions on an interval using the mass
    matrix.
    """
    actx = actx_factory()

    nel_1d = 16
    order = 4

    a = -4.0 * np.pi
    b = +9.0 * np.pi
    true_integral = 13*np.pi/2 * (b - a)**(ambient_dim - 1)

    from meshmode.discretization.poly_element import QuadratureSimplexGroupFactory
    dd_quad = dof_desc.DOFDesc(dof_desc.DTAG_VOLUME_ALL, discr_tag)
    if discr_tag is dof_desc.DISCR_TAG_BASE:
        discr_tag_to_group_factory = {}
    else:
        discr_tag_to_group_factory = {
            discr_tag: QuadratureSimplexGroupFactory(order=2*order)
        }

    mesh = mgen.generate_regular_rect_mesh(
            a=(a,)*ambient_dim, b=(b,)*ambient_dim,
            nelements_per_axis=(nel_1d,)*ambient_dim, order=1)
    dcoll = DiscretizationCollection(
        actx, mesh, order=order,
        discr_tag_to_group_factory=discr_tag_to_group_factory
    )

    def f(x):
        return actx.np.sin(x[0])**2

    volm_disc = dcoll.discr_from_dd(dof_desc.DD_VOLUME)
    x_volm = thaw(volm_disc.nodes(), actx)
    f_volm = f(x_volm)
    ones_volm = volm_disc.zeros(actx) + 1

    quad_disc = dcoll.discr_from_dd(dd_quad)
    x_quad = thaw(quad_disc.nodes(), actx)
    f_quad = f(x_quad)
    ones_quad = quad_disc.zeros(actx) + 1

    mop_1 = op.mass(dcoll, dd_quad, f_quad)
    num_integral_1 = op.nodal_sum(
        dcoll, dof_desc.DD_VOLUME, ones_volm * mop_1
    )

    err_1 = abs(num_integral_1 - true_integral)
    assert err_1 < 2e-9, err_1

    mop_2 = op.mass(dcoll, dd_quad, ones_quad)
    num_integral_2 = op.nodal_sum(dcoll, dof_desc.DD_VOLUME, f_volm * mop_2)

    err_2 = abs(num_integral_2 - true_integral)
    assert err_2 < 2e-9, err_2

    if discr_tag is dof_desc.DISCR_TAG_BASE:
        # NOTE: `integral` always makes a square mass matrix and
        # `QuadratureSimplexGroupFactory` does not have a `mass_matrix` method.
        num_integral_3 = op.nodal_sum(dcoll, dof_desc.DD_VOLUME, f_quad * mop_2)
        err_3 = abs(num_integral_3 - true_integral)
        assert err_3 < 5e-10, err_3

# }}}


# {{{ mass operator on surface

def _ellipse_surface_area(radius, aspect_ratio):
    # https://docs.scipy.org/doc/scipy/reference/generated/scipy.special.ellipe.html
    eccentricity = 1.0 - (1/aspect_ratio)**2

    if abs(aspect_ratio - 2.0) < 1.0e-14:
        # NOTE: hardcoded value so we don't need scipy for the test
        ellip_e = 1.2110560275684594
    else:
        from scipy.special import ellipe        # pylint: disable=no-name-in-module
        ellip_e = ellipe(eccentricity)

    return 4.0 * radius * ellip_e


def _spheroid_surface_area(radius, aspect_ratio):
    # https://en.wikipedia.org/wiki/Ellipsoid#Surface_area
    a = 1.0
    c = aspect_ratio

    if a < c:
        e = np.sqrt(1.0 - (a/c)**2)
        return 2.0 * np.pi * radius**2 * (1.0 + (c/a) / e * np.arcsin(e))
    else:
        e = np.sqrt(1.0 - (c/a)**2)
        return 2.0 * np.pi * radius**2 * (1 + (c/a)**2 / e * np.arctanh(e))


@pytest.mark.parametrize("name", [
    "2-1-ellipse", "spheroid", "box2d", "box3d"