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Use array not vector #2971

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Use array not vector #2971

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5ff2bff
Remove some implicit PETSc from tests when not needed
chrisrichardson Jan 8, 2024
aeb3852
Another example
chrisrichardson Jan 8, 2024
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4 changes: 2 additions & 2 deletions python/test/unit/fem/test_dof_permuting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -255,7 +255,7 @@ def test_evaluation(cell_type, space_type, space_order):

for d in dofs:
v = Function(V)
v.vector[:] = [1 if i == d else 0 for i in range(v.vector.local_size)]
v.x.array[:] = [1 if i == d else 0 for i in range(v.x.index_map.size_local)]
values0 = v.eval(eval_points, [0 for i in eval_points])
values1 = v.eval(eval_points, [1 for i in eval_points])
if len(eval_points) == 1:
Expand Down Expand Up @@ -303,7 +303,7 @@ def test_integral(cell_type, space_type, space_order):
tdim = mesh.topology.dim
for d in dofs:
v = Function(V)
v.vector[:] = [1 if i == d else 0 for i, _ in enumerate(v.vector[:])]
v.x.array[:] = [1 if i == d else 0 for i, _ in enumerate(v.x.array[:])]
if space_type in ["RT", "BDM", "RTCF", "NCF", "BDMCF", "AAF"]:
# Hdiv
def normal(x):
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6 changes: 3 additions & 3 deletions python/test/unit/fem/test_function.py
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Expand Up @@ -165,9 +165,9 @@ def f(x):

w = Function(W)
w.interpolate(f)
x = w.vector
assert x.max()[1] == 3.0 # /NOSONAR
assert x.min()[1] == 1.0 # /NOSONAR
x = w.x.array
assert x.max() == 3.0 # /NOSONAR
assert x.min() == 1.0 # /NOSONAR

num_vertices = W.mesh.topology.index_map(0).size_global
assert round(w.x.norm(la.Norm.l1) - 6 * num_vertices, 7) == 0
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2 changes: 1 addition & 1 deletion python/test/unit/fem/test_function_space.py
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Expand Up @@ -177,7 +177,7 @@ def test_collapse(W, V):

f_0 = Function(Ws[0][0])
f_1 = Function(V)
assert f_0.vector.getSize() == f_1.vector.getSize()
assert f_0.x.index_map.size_global == f_1.x.index_map.size_global


def test_argument_equality(mesh, V, V2, W, W2):
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2 changes: 1 addition & 1 deletion python/test/unit/fem/test_quadrature_elements.py
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Expand Up @@ -147,7 +147,7 @@ def test_vector_element(shape):
q_ = ufl.TestFunction(Quad)
dq = ufl.TrialFunction(Quad)
one = dolfinx.fem.Function(Quad)
one.vector.set(1.0)
one.x.array[:] = 1.0
mass_L_form = dolfinx.fem.form(ufl.inner(one, q_) * dx_m)
mass_v = dolfinx.fem.assemble_vector(mass_L_form)
mass_a_form = dolfinx.fem.form(ufl.inner(dq, q_) * dx_m)
Expand Down
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