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__copyright__ = "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.
"""
from arraycontext import pytest_generate_tests_for_array_contexts
from grudge.array_context import PytestPyOpenCLArrayContextFactory
from grudge.discretization import make_discretization_collection
pytest_generate_tests = pytest_generate_tests_for_array_contexts(
[PytestPyOpenCLArrayContextFactory])
import pytest
import meshmode.mesh.generation as mgen
from meshmode.discretization.poly_element import (
# Simplex group factories
InterpolatoryQuadratureSimplexGroupFactory,
# Tensor product group factories
LegendreGaussLobattoTensorProductGroupFactory,
ModalGroupFactory,
PolynomialEquidistantSimplexGroupFactory,
PolynomialWarpAndBlend2DRestrictingGroupFactory,
# Quadrature-based (non-interpolatory) group factories
)
from meshmode.dof_array import flat_norm
import grudge.dof_desc as dof_desc
@pytest.mark.parametrize("nodal_group_factory", [
InterpolatoryQuadratureSimplexGroupFactory,
PolynomialWarpAndBlend2DRestrictingGroupFactory,
PolynomialEquidistantSimplexGroupFactory,
LegendreGaussLobattoTensorProductGroupFactory,
]
)
def test_inverse_modal_connections(actx_factory, nodal_group_factory):
actx = actx_factory()
order = 4
def f(x):
return 2*actx.np.sin(20*x) + 0.5*actx.np.cos(10*x)
# Make a regular rectangle mesh
mesh = mgen.generate_regular_rect_mesh(
a=(0, 0), b=(5, 3), npoints_per_axis=(10, 6), order=order,
group_cls=nodal_group_factory.mesh_group_class
)
dcoll = make_discretization_collection(
discr_tag_to_group_factory={
dof_desc.DISCR_TAG_BASE: nodal_group_factory(order),
dof_desc.DISCR_TAG_MODAL: ModalGroupFactory(order),
dd_modal = dof_desc.DD_VOLUME_ALL_MODAL
dd_volume = dof_desc.DD_VOLUME_ALL
x_nodal = actx.thaw(dcoll.discr_from_dd(dd_volume).nodes()[0])
nodal_f = f(x_nodal)
# Map nodal coefficients of f to modal coefficients
forward_conn = dcoll.connection_from_dds(dd_volume, dd_modal)
modal_f = forward_conn(nodal_f)
# Now map the modal coefficients back to nodal
backward_conn = dcoll.connection_from_dds(dd_modal, dd_volume)
nodal_f_2 = backward_conn(modal_f)
# This error should be small since we composed a map with
# its inverse
def test_inverse_modal_connections_quadgrid(actx_factory):
actx = actx_factory()
order = 5
def f(x):
return 1 + 2*x + 3*x**2
# Make a regular rectangle mesh
mesh = mgen.generate_regular_rect_mesh(
a=(0, 0), b=(5, 3), npoints_per_axis=(10, 6), order=order,
group_cls=QuadratureSimplexGroupFactory.mesh_group_class
)
dcoll = make_discretization_collection(
discr_tag_to_group_factory={
dof_desc.DISCR_TAG_BASE:
PolynomialWarpAndBlend2DRestrictingGroupFactory(order),
dof_desc.DISCR_TAG_QUAD: QuadratureSimplexGroupFactory(2*order),
dof_desc.DISCR_TAG_MODAL: ModalGroupFactory(order),
}
)
# Use dof descriptors on the quadrature grid
dd_modal = dof_desc.DD_VOLUME_ALL_MODAL
dd_quad = dof_desc.DOFDesc(dof_desc.DTAG_VOLUME_ALL,
dof_desc.DISCR_TAG_QUAD)
x_quad = actx.thaw(dcoll.discr_from_dd(dd_quad).nodes()[0])
quad_f = f(x_quad)
# Map nodal coefficients of f to modal coefficients
forward_conn = dcoll.connection_from_dds(dd_quad, dd_modal)
modal_f = forward_conn(quad_f)
# Now map the modal coefficients back to nodal
backward_conn = dcoll.connection_from_dds(dd_modal, dd_quad)
quad_f_2 = backward_conn(modal_f)
# This error should be small since we composed a map with
# its inverse