def test_helmholtz_single_layer(has_exafmm, wavenumber):
"""Test dense assembler for the Laplace operators."""
if not has_exafmm and not check_for_fmm():
pytest.skip("ExaFMM must be installed to run this test.")
grid = bempp.api.shapes.regular_sphere(2)
space = function_space(grid, "DP", 0)
op1 = helmholtz.single_layer(space,
space,
space,
wavenumber,
assembler="dense")
op2 = helmholtz.single_layer(space,
space,
space,
wavenumber,
assembler="fmm")
fun = bempp.api.GridFunction(space,
coefficients=np.random.rand(
space.global_dof_count))
assert np.allclose((op1 * fun).coefficients, (op2 * fun).coefficients)
bempp.api.clear_fmm_cache()
def test_helmholtz_single_layer(wavenumber):
"""Test dense assembler for the Laplace operators."""
grid = bempp.api.shapes.regular_sphere(2)
space = function_space(grid, "DP", 0)
op1 = helmholtz.single_layer(space, space, space, wavenumber, assembler="dense")
op2 = helmholtz.single_layer(space, space, space, wavenumber, assembler="fmm")
fun = bempp.api.GridFunction(
space, coefficients=np.random.rand(space.global_dof_count)
)
assert np.allclose((op1 * fun).coefficients, (op2 * fun).coefficients)
bempp.api.clear_fmm_cache()
def test_helmholtz_single_layer_p0_p1(default_parameters, helpers, precision,
device_interface):
"""Test dense assembler for the slp with disc. p0/p1 basis."""
from bempp.api.operators.boundary.helmholtz import single_layer
from bempp.api import function_space
grid = helpers.load_grid("sphere")
space0 = function_space(grid, "DP", 0)
space1 = function_space(grid, "DP", 1)
discrete_op = single_layer(
space1,
space1,
space0,
WAVENUMBER,
assembler="dense",
precision=precision,
device_interface=device_interface,
parameters=default_parameters,
).weak_form()
expected = helpers.load_npy_data("helmholtz_single_layer_boundary_p0_dp1")
_np.testing.assert_allclose(discrete_op.to_dense(),
expected,
rtol=helpers.default_tolerance(precision))
