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"""Unit tests for the pybind11 wrapping of PETSc / petsc4py"""
# Copyright (C) 2017 Tormod Landet
#
# This file is part of DOLFIN.
#
# DOLFIN is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# DOLFIN is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with DOLFIN. If not, see <http://www.gnu.org/licenses/>.
import gc
from dolfin import (UnitSquareMesh, TrialFunction, TestFunction,
FunctionSpace, Function, assemble, dx,
parameters, as_backend_type, has_petsc)
if has_petsc() :
from dolfin import (PETScVector, PETScMatrix)
from dolfin_utils.test import skip_if_not_petsc4py, pushpop_parameters
@skip_if_not_petsc4py
def test_petsc4py_vector(pushpop_parameters):
"Test PETScVector <-> petsc4py.PETSc.Vec conversions"
parameters["linear_algebra_backend"] = "PETSc"
# Assemble a test matrix
mesh = UnitSquareMesh(4, 4)
V = FunctionSpace(mesh, "Lagrange", 1)
v = TestFunction(V)
a = v*dx
b1 = assemble(a)
# Test conversion dolfin.PETScVector -> petsc4py.PETSc.Vec
b1 = as_backend_type(b1)
v1 = b1.vec()
# Copy and scale vector with petsc4py
v2 = v1.copy()
v2.scale(2.0)
# Test conversion petsc4py.PETSc.Vec -> PETScVector
b2 = PETScVector(v2)
assert (b1.get_local()*2.0 == b2.get_local()).all()
@skip_if_not_petsc4py
def test_petsc4py_matrix(pushpop_parameters):
"Test PETScMatrix <-> petsc4py.PETSc.Mat conversions"
parameters["linear_algebra_backend"] = "PETSc"
# Assemble a test matrix
mesh = UnitSquareMesh(4, 4)
V = FunctionSpace(mesh, "Lagrange", 1)
u, v = TrialFunction(V), TestFunction(V)
a = u*v*dx
A1 = assemble(a)
# Test conversion dolfin.PETScMatrix -> petsc4py.PETSc.Mat
A1 = as_backend_type(A1)
M1 = A1.mat()
# Copy and scale matrix with petsc4py
M2 = M1.copy()
M2.scale(2.0)
# Test conversion petsc4py.PETSc.Mat -> PETScMatrix
A2 = PETScMatrix(M2)
assert (A1.array()*2.0 == A2.array()).all()
@skip_if_not_petsc4py
def test_ref_count(pushpop_parameters):
"Test petsc4py reference counting"
parameters["linear_algebra_backend"] = "PETSc"
mesh = UnitSquareMesh(3, 3)
V = FunctionSpace(mesh, "P", 1)
# Check u and x own the vector
u = Function(V)
x = as_backend_type(u.vector()).vec()
assert x.refcount == 2
# Check decref
del u; gc.collect() # destroy u
assert x.refcount == 1
# Check incref
vec = PETScVector(x)
assert x.refcount == 2
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