def test_3d():
"""Test FE in 3D"""
def setone(arr):
arr[0, :, (arr.shape[0] - 1) // 2] = 1.0
return arr
assert pipe(
5,
lambda x: np.zeros((1, x, x, x), dtype=int),
setone,
solve_fe(elastic_modulus=(1.0, 10.0), poissons_ratio=(0.0, 0.0)),
lambda x: np.allclose(
[np.mean(x["strain"][0, ..., i]) for i in range(6)],
[1.0, 0.0, 0.0, 0.0, 0.0, 0.0],
),
)
def testing(size, macro_strain):
return pipe(
size,
lambda x: np.random.randint(2, size=(1, x, x, x)),
solve_fe(
elastic_modulus=(10.0, 1.0),
poissons_ratio=(0.3, 0.3),
macro_strain=macro_strain,
),
get("displacement"),
first,
lambda x: (
np.allclose(x[-1, ..., 0] - x[0, ..., 0], size * macro_strain),
np.allclose(x[0, ..., 1], x[-1, ..., 1]),
),
all,
)
def test_setting_kernel():
"""Test resetting the coeffs after coeff resize."""
x_data = generate_delta(n_phases=2, shape=(21, 21)).persist()
y_data = solve_fe(x_data,
elastic_modulus=(100, 130),
poissons_ratio=(0.3, 0.3),
macro_strain=0.01)["strain"][..., 0].persist()
model = make_pipeline(PrimitiveTransformer(n_state=2),
LocalizationRegressor())
shape = (30, 30)
fcoeff = model.fit(x_data, y_data).steps[1][1].coeff
assert np.allclose(model.steps[1][1].coeff_resize(shape).coeff.shape[:-1],
shape)
model.steps[1][1].coeff = fcoeff
assert np.allclose(model.predict(x_data), y_data, atol=1e-4)
def test(x_data):
solve_fe(x_data,
elastic_modulus=(1, 2, 3),
poissons_ratio=(0.3, 0.3, 0.3))
