def test_402(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
file_dir = os.path.dirname(os.path.abspath(__file__))
qfs = load_qfs_so()
qf_setup = ceed.QFunction(1, qfs.setup_mass,
os.path.join(file_dir, "test-qfunctions.h:setup_mass"))
qf_setup.add_input("w", 1, libceed.EVAL_WEIGHT)
qf_setup.add_input("dx", 1, libceed.EVAL_GRAD)
qf_setup.add_output("qdata", 1, libceed.EVAL_NONE)
qf_mass = ceed.QFunction(1, qfs.apply_mass,
os.path.join(file_dir, "t400-qfunction.h:apply_mass"))
qf_mass.add_input("qdata", 1, libceed.EVAL_NONE)
qf_mass.add_input("u", 1, libceed.EVAL_INTERP)
qf_mass.add_output("v", 1, libceed.EVAL_INTERP)
print(qf_setup)
print(qf_mass)
ctx_data = np.array([1., 2., 3., 4., 5.])
ctx = ceed.QFunctionContext()
ctx.set_data(ctx_data)
print(ctx)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_413(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
qf_setup = ceed.QFunctionByName("Mass1DBuild")
qf_mass = ceed.QFunctionByName("MassApply")
print(qf_setup)
print(qf_mass)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_211(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
num_elem = 3
strides = np.array([1, 2, 2], dtype="int32")
r = ceed.StridedElemRestriction(num_elem, 2, 1, num_elem + 1, strides)
print(r)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_300(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
b = ceed.BasisTensorH1Lagrange(1, 1, 4, 4, libceed.GAUSS_LOBATTO)
print(b)
del b
b = ceed.BasisTensorH1Lagrange(1, 1, 4, 4, libceed.GAUSS)
print(b)
del b
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_107(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
n = 10
x = ceed.Vector(n)
a = np.arange(10, 10 + n, dtype="float64")
x.set_array(a, cmode=libceed.USE_POINTER)
print(x)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_300(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
b = ceed.BasisTensorH1Lagrange(1, 1, 4, 4, libceed.GAUSS_LOBATTO)
print(b)
del b
b = ceed.BasisTensorH1Lagrange(1, 1, 4, 4, libceed.GAUSS)
print(b)
del b
# Only run this test in double precision
if libceed.lib.CEED_SCALAR_TYPE == libceed.SCALAR_FP64:
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_210(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
num_elem = 3
ind = np.zeros(2 * num_elem, dtype="int32")
for i in range(num_elem):
ind[2 * i + 0] = i + 0
ind[2 * i + 1] = i + 1
r = ceed.ElemRestriction(num_elem, 2, 1, 1, num_elem + 1, ind,
cmode=libceed.USE_POINTER)
print(r)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
def test_402(ceed_resource, capsys):
ceed = libceed.Ceed(ceed_resource)
file_dir = os.path.dirname(os.path.abspath(__file__))
qfs = load_qfs_so()
qf_setup = ceed.QFunction(
1, qfs.setup_mass,
os.path.join(file_dir, "test-qfunctions.h:setup_mass"))
qf_setup.add_input("w", 1, libceed.EVAL_WEIGHT)
qf_setup.add_input("dx", 1, libceed.EVAL_GRAD)
qf_setup.add_output("qdata", 1, libceed.EVAL_NONE)
qf_mass = ceed.QFunction(
1, qfs.apply_mass,
os.path.join(file_dir, "test-qfunctions.h:apply_mass"))
qf_mass.add_input("qdata", 1, libceed.EVAL_NONE)
qf_mass.add_input("u", 1, libceed.EVAL_INTERP)
qf_mass.add_output("v", 1, libceed.EVAL_INTERP)
print(qf_setup)
print(qf_mass)
if libceed.lib.CEED_SCALAR_TYPE == libceed.SCALAR_FP64:
ctx_data = np.array([1., 2., 3., 4., 5.], dtype="float64")
# Make ctx twice as long in fp32, so size will be the same as fp64 output
else:
ctx_data = np.array([1., 2., 3., 4., 5., 1., 2., 3., 4., 5.],
dtype="float32")
ctx = ceed.QFunctionContext()
ctx.set_data(ctx_data)
print(ctx)
stdout, stderr, ref_stdout = check.output(capsys)
assert not stderr
assert stdout == ref_stdout
