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Added Firedrake testing
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Signed-off-by: Umberto Zerbinati <[email protected]>
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Umberto Zerbinati committed Oct 29, 2023
1 parent 6e51c1d commit 6910a79
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41 changes: 41 additions & 0 deletions .github/workflows/ngsPETSc.yml
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Expand Up @@ -74,3 +74,44 @@ jobs:
- name: Run test suite in serial
run: |
pytest -v tests/test_fenicsx.py
firedrake:
runs-on: ubuntu-latest
container: firedrakeproject/firedrake:latest
strategy:
# Don't immediately kill real if complex fails and vice versa.
fail-fast: false
matrix:
include:
- scalar-type: real
complex: ""
petsc_arch: default
- scalar-type: complex
complex: --complex
petsc_arch: complex
env:
# PETSC_DIR and MPICH_DIR are set inside the docker image
FIREDRAKE_CI_TESTS: 1
PETSC_ARCH: ${{ matrix.petsc_arch }}
OMP_NUM_THREADS: 1
OPENBLAS_NUM_THREADS: 1
COMPLEX: ${{ matrix.complex }}
RDMAV_FORK_SAFE: 1

steps:
- name: Check out repository code
run: cd /home/firedrake && git clone https://github.com/NGSolve/ngsPETSc.git

- name: Install ngsPETSc and pytest
run: |
. /home/firedrake/firedrake/bin/activate \
&& cd /home/firedrake/ngsPETSc \
&& NGSPETSC_NO_INSTALL_REQUIRED=ON python3 -m pip install . \
&& sudo apt update && sudo apt install -y python3-pytest
- name: Run test suite in serial
run: |
. /home/firedrake/firedrake/bin/activate \
&& cd /home/firedrake/ngsPETSc \
&& python3 tests/test_firedrake.py
338 changes: 338 additions & 0 deletions tests/test_firedrake.py
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# pylint: skip-file

from firedrake import *
import numpy as np
import gc
from petsc4py import PETSc
import pytest

printf = lambda msg: PETSc.Sys.Print(msg)


def poisson(h, degree=2):
try:
from netgen.geom2d import SplineGeometry
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

comm = COMM_WORLD
# Setting up Netgen geometry and mesh
if comm.Get_rank() == 0:
geo = SplineGeometry()
geo.AddRectangle((0, 0), (np.pi, np.pi), bc="rect")
ngmesh = geo.GenerateMesh(maxh=h)
labels = [i+1 for i, name in enumerate(ngmesh.GetRegionNames(codim=1)) if name == "rect"]
else:
ngmesh = netgen.libngpy._meshing.Mesh(2)
labels = None

labels = comm.bcast(labels, root=0)
msh = Mesh(ngmesh)
# Setting up the problem
V = FunctionSpace(msh, "CG", degree)
u = TrialFunction(V)
v = TestFunction(V)
f = Function(V)
x, y = SpatialCoordinate(msh)
f.interpolate(2*sin(x)*sin(y))
a = inner(grad(u), grad(v))*dx
l = inner(f, v) * dx
u = Function(V)
bc = DirichletBC(V, 0.0, labels)

# Assembling matrix
A = assemble(a, bcs=bc)
b = assemble(l)
bc.apply(b)

# Solving the problem
solve(A, u, b, solver_parameters={"ksp_type": "preonly", "pc_type": "lu"})

# Computing the error
f.interpolate(sin(x)*sin(y))
return sqrt(assemble(inner(u - f, u - f) * dx)), u, f


def poisson3D(h, degree=2):
try:
from netgen.csg import CSGeometry, OrthoBrick, Pnt
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

comm = COMM_WORLD
# Setting up Netgen geometry and mesh
if comm.Get_rank() == 0:
box = OrthoBrick(Pnt(0, 0, 0), Pnt(np.pi, np.pi, np.pi))
box.bc("bcs")
geo = CSGeometry()
geo.Add(box)
ngmesh = geo.GenerateMesh(maxh=h)
labels = [i+1 for i, name in enumerate(ngmesh.GetRegionNames(codim=1)) if name == "bcs"]
else:
ngmesh = netgen.libngpy._meshing.Mesh(3)
labels = None

labels = comm.bcast(labels, root=0)
msh = Mesh(ngmesh)

# Setting up the problem
V = FunctionSpace(msh, "CG", degree)
u = TrialFunction(V)
v = TestFunction(V)
f = Function(V)
x, y, z = SpatialCoordinate(msh)
f.interpolate(3*sin(x)*sin(y)*sin(z))
a = inner(grad(u), grad(v))*dx
l = inner(f, v) * dx
u = Function(V)
bc = DirichletBC(V, 0.0, labels)

# Assembling matrix
A = assemble(a, bcs=bc)
b = assemble(l)
bc.apply(b)

# Solving the problem
solve(A, u, b, solver_parameters={"ksp_type": "preonly", "pc_type": "lu"})

# Computing the error
f.interpolate(sin(x)*sin(y)*sin(z))
S = sqrt(assemble(inner(u - f, u - f) * dx))
return S


def test_firedrake_Poisson_netgen():
diff = np.array([poisson(h)[0] for h in [1/2, 1/4, 1/8]])
print("l2 error norms:", diff)
conv = np.log2(diff[:-1] / diff[1:])
print("convergence order:", conv)
assert (np.array(conv) > 2.8).all()


def test_firedrake_Poisson3D_netgen():
diff = np.array([poisson3D(h) for h in [1, 1/2, 1/4]])
print("l2 error norms:", diff)
conv = np.log2(diff[:-1] / diff[1:])
print("convergence order:", conv)
assert (np.array(conv) > 2.8).all()


def test_firedrake_integral_2D_netgen():
try:
from netgen.geom2d import SplineGeometry
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

comm = COMM_WORLD
if comm.Get_rank() == 0:
geo = SplineGeometry()
geo.AddRectangle((0, 0), (1, 1), bc="rect")
ngmesh = geo.GenerateMesh(maxh=0.1)
labels = [i+1 for i, name in enumerate(ngmesh.GetRegionNames(codim=1)) if name == "rect"]
else:
ngmesh = netgen.libngpy._meshing.Mesh(2)
labels = None
labels = comm.bcast(labels, root=0)
msh = Mesh(ngmesh)
V = FunctionSpace(msh, "CG", 3)
x, y = SpatialCoordinate(msh)
f = Function(V).interpolate(x*x+y*y*y+x*y)
assert abs(assemble(f * dx) - (5/6)) < 1.e-10


def test_firedrake_integral_3D_netgen():
try:
from netgen.csg import CSGeometry, OrthoBrick, Pnt
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

# Setting up Netgen geometry and mes
comm = COMM_WORLD
if comm.Get_rank() == 0:
box = OrthoBrick(Pnt(0, 0, 0), Pnt(1, 1, 1))
box.bc("bcs")
geo = CSGeometry()
geo.Add(box)
ngmesh = geo.GenerateMesh(maxh=0.25)
labels = [i+1 for i, name in enumerate(ngmesh.GetRegionNames(codim=1)) if name == "bcs"]
else:
ngmesh = netgen.libngpy._meshing.Mesh(3)
labels = None

labels = comm.bcast(labels, root=0)
msh = Mesh(ngmesh)
V = FunctionSpace(msh, "CG", 3)
x, y, z = SpatialCoordinate(msh)
f = Function(V).interpolate(2 * x + 3 * y * y + 4 * z * z * z)
assert abs(assemble(f * ds) - (2 + 4 + 2 + 5 + 2 + 6)) < 1.e-10


def test_firedrake_integral_ball_netgen():
try:
from netgen.csg import CSGeometry, Pnt, Sphere
from netgen.meshing import MeshingParameters
from netgen.meshing import MeshingStep
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

# Setting up Netgen geometry and mes
comm = COMM_WORLD
if comm.Get_rank() == 0:
geo = CSGeometry()
geo.Add(Sphere(Pnt(0, 0, 0), 1).bc("sphere"))
mp = MeshingParameters(maxh=0.05, perfstepsend=MeshingStep.MESHSURFACE)
ngmesh = geo.GenerateMesh(mp=mp)
else:
ngmesh = netgen.libngpy._meshing.Mesh(3)

msh = Mesh(ngmesh)
V = FunctionSpace(msh, "CG", 3)
x, y, z = SpatialCoordinate(msh)
f = Function(V).interpolate(1+0*x)
assert abs(assemble(f * dx) - 4*np.pi) < 1.e-2


def test_firedrake_integral_sphere_high_order_netgen():
try:
from netgen.csg import CSGeometry, Pnt, Sphere
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

# Setting up Netgen geometry and mes
comm = COMM_WORLD
if comm.Get_rank() == 0:
geo = CSGeometry()
geo.Add(Sphere(Pnt(0, 0, 0), 1).bc("sphere"))
ngmesh = geo.GenerateMesh(maxh=0.1)
else:
ngmesh = netgen.libngpy._meshing.Mesh(3)

msh = Mesh(ngmesh)
homsh = Mesh(msh.curve_field(4))
V = FunctionSpace(homsh, "CG", 4)
x, y, z = SpatialCoordinate(homsh)
f = Function(V).interpolate(1+0*x)
assert abs(assemble(f * dx) - (4/3)*np.pi) < 1.e-4


@pytest.mark.skipcomplex
def test_firedrake_Adaptivity_netgen():
try:
from netgen.geom2d import SplineGeometry
import netgen
except ImportError:
pytest.skip(reason="Netgen unavailable, skipping Netgen test.")

try:
from slepc4py import SLEPc
except ImportError:
pytest.skip(reason="SLEPc unavailable, skipping adaptive test refinement.")

gc.collect()
comm = COMM_WORLD

def Solve(msh, labels):
V = FunctionSpace(msh, "CG", 2)
u = TrialFunction(V)
v = TestFunction(V)
a = inner(grad(u), grad(v))*dx
m = (u*v)*dx
uh = Function(V)
bc = DirichletBC(V, 0, labels)
A = assemble(a, bcs=bc)
M = assemble(m)
Asc, Msc = A.M.handle, M.M.handle
E = SLEPc.EPS().create()
E.setType(SLEPc.EPS.Type.ARNOLDI)
E.setProblemType(SLEPc.EPS.ProblemType.GHEP)
E.setDimensions(1, SLEPc.DECIDE)
E.setOperators(Asc, Msc)
ST = E.getST()
ST.setType(SLEPc.ST.Type.SINVERT)
PC = ST.getKSP().getPC()
PC.setType("lu")
PC.setFactorSolverType("mumps")
E.setST(ST)
E.solve()
vr, vi = Asc.getVecs()
with uh.dat.vec_wo as vr:
lam = E.getEigenpair(0, vr, vi)
return (lam, uh, V)

def Mark(msh, uh, lam):
W = FunctionSpace(msh, "DG", 0)
w = TestFunction(W)
R_T = lam.real*uh + div(grad(uh))
n = FacetNormal(V.mesh())
h = CellDiameter(msh)
R_dT = dot(grad(uh), n)
eta = assemble(h**2*R_T**2*w*dx + (h("+")+h("-"))*(R_dT("+")-R_dT("-"))**2*(w("+")+w("-"))*dS)
frac = .95
delfrac = .05
part = .2
mark = Function(W)
with mark.dat.vec as markedVec:
with eta.dat.vec as etaVec:
sum_eta = etaVec.sum()
if sum_eta < tolerance:
return markedVec
eta_max = etaVec.max()[1]
sct, etaVec0 = PETSc.Scatter.toZero(etaVec)
markedVec0 = etaVec0.duplicate()
sct(etaVec, etaVec0)
if etaVec.getComm().getRank() == 0:
eta = etaVec0.getArray()
marked = np.zeros(eta.size, dtype='bool')
sum_marked_eta = 0.
while sum_marked_eta < part*sum_eta:
new_marked = (~marked) & (eta > frac*eta_max)
sum_marked_eta += sum(eta[new_marked])
marked += new_marked
frac -= delfrac
markedVec0.getArray()[:] = 1.0*marked[:]
sct(markedVec0, markedVec, mode=PETSc.Scatter.Mode.REVERSE)
return mark
tolerance = 1e-16
max_iterations = 15
exact = 3.375610652693620492628**2
geo = SplineGeometry()
pnts = [(0, 0), (1, 0), (1, 1),
(0, 1), (-1, 1), (-1, 0),
(-1, -1), (0, -1)]
p1, p2, p3, p4, p5, p6, p7, p8 = [geo.AppendPoint(*pnt) for pnt in pnts]
curves = [[["line", p1, p2], "line"],
[["spline3", p2, p3, p4], "curve"],
[["spline3", p4, p5, p6], "curve"],
[["spline3", p6, p7, p8], "curve"],
[["line", p8, p1], "line"]]
[geo.Append(c, bc=bc) for c, bc in curves]
if comm.Get_rank() == 0:
ngmsh = geo.GenerateMesh(maxh=0.2)
labels = [i+1 for i, name in enumerate(ngmsh.GetRegionNames(codim=1)) if name == "line" or name == "curve"]
else:
ngmsh = netgen.libngpy._meshing.Mesh(2)
labels = None
labels = comm.bcast(labels, root=0)
msh = Mesh(ngmsh)
for i in range(max_iterations):
printf("level {}".format(i))
lam, uh, V = Solve(msh, labels)
mark = Mark(msh, uh, lam)
msh = msh.refine_marked_elements(mark)
File("Sol.pvd").write(uh)
assert (abs(lam-exact) < 1e-2)

if __name__ == "__main__":
test_firedrake_Adaptivity_netgen()
test_firedrake_integral_2D_netgen()
test_firedrake_integral_3D_netgen()
test_firedrake_integral_ball_netgen()
test_firedrake_integral_sphere_high_order_netgen()
test_firedrake_Poisson_netgen()
test_firedrake_Poisson3D_netgen()

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