def test_symplectics_against_ellipse_motion_with_numpy_PEFRL(
self, monkeypatch):
monkeypatch.setenv("IMPORT_TEST_NUMPY", "True", prepend=False)
# After changing the import flag reload the modules.
importlib.reload(elastica)
importlib.reload(elastica.timestepper.symplectic_steppers)
# importlib.reload(elastica.timestepper.integrate)
importlib.reload(elastica.timestepper)
from elastica.timestepper.symplectic_steppers import PEFRL
from elastica.timestepper import integrate
random_start_position = np.random.randn(3, 1)
random_directors, _ = np.linalg.qr(np.random.randn(3, 3))
random_directors = random_directors.reshape(3, 3, 1)
rod_like_system = make_simple_system_with_positions_directors(
random_start_position, random_directors)
final_time = 1.0
n_steps = 1000
stepper = PEFRL()
integrate(stepper,
rod_like_system,
final_time=final_time,
n_steps=n_steps)
assert_allclose(
rod_like_system.position_collection.reshape(3),
rod_like_system.analytical_solution("Positions", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
assert_allclose(
rod_like_system.velocity_collection.reshape(3),
rod_like_system.analytical_solution("Velocity", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
# Reshaping done in the director collection to prevent numba from
# complaining about returning multiple types
assert_allclose(
rod_like_system.director_collection.reshape(-1, 1),
rod_like_system.analytical_solution("Directors", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
# Remove the import flag
monkeypatch.delenv("IMPORT_TEST_NUMPY")
# Reload the elastica after changing flag
importlib.reload(elastica)
importlib.reload(elastica.timestepper.symplectic_steppers)
importlib.reload(elastica.timestepper)
from elastica.timestepper.symplectic_steppers import PEFRL
from elastica.timestepper import integrate
def test_explicit_steppers(self, explicit_stepper):
collective_system = ScalarExponentialDampedHarmonicOscillatorCollectiveSystem(
)
final_time = 1.0
n_steps = 500
stepper = explicit_stepper()
dt = np.float64(float(final_time) / n_steps)
time = np.float64(0.0)
tol = Tolerance.atol()
# Before stepping, let's extend the interface of the stepper
# while providing memory slots
from elastica.systems import make_memory_for_explicit_stepper
memory_collection = make_memory_for_explicit_stepper(
stepper, collective_system)
from elastica.timestepper import extend_stepper_interface
extend_stepper_interface(stepper, collective_system)
while np.abs(final_time - time) > 1e5 * tol:
time = stepper.do_step(collective_system, memory_collection, time,
dt)
for system in collective_system:
assert_allclose(
system.state,
system.analytical_solution(final_time),
rtol=Tolerance.rtol(),
atol=Tolerance.atol(),
)
def test_symplectics_against_ellipse_motion(self, symplectic_stepper):
from elastica.systems.analytical import (
make_simple_system_with_positions_directors,
SimpleSystemWithPositionsDirectors,
)
random_start_position = np.random.randn(3, 1)
random_end_position = np.random.randn(3, 1)
random_directors, _ = np.linalg.qr(np.random.randn(3, 3))
random_directors = random_directors.reshape(3, 3, 1)
rod_like_system = make_simple_system_with_positions_directors(
random_start_position, random_end_position, random_directors)
final_time = 1.0
n_steps = 1000
stepper = symplectic_stepper()
integrate(stepper,
rod_like_system,
final_time=final_time,
n_steps=n_steps)
assert_allclose(
rod_like_system.position_collection,
rod_like_system.analytical_solution("Positions", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
assert_allclose(
rod_like_system.velocity_collection,
rod_like_system.analytical_solution("Velocity", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
# Reshaping done in the director collection to prevent numba from
# complaining about returning multiple types
assert_allclose(
rod_like_system.director_collection.reshape(-1, 1),
rod_like_system.analytical_solution("Directors", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
def test_symplectic_against_undamped_harmonic_oscillator(self, stepper):
system = SymplecticUndampedSimpleHarmonicOscillatorSystem()
final_time = 4.0 * np.pi
n_steps = 2000
integrate(stepper(), system, final_time=final_time, n_steps=n_steps)
# Symplectic systems conserve energy to a certain extent
assert_allclose(
*system.compute_energy(final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
def test_against_damped_harmonic_oscillator(self, stepper):
system = DampedSimpleHarmonicOscillatorSystem()
final_time = 4.0 * np.pi
n_steps = 2000
integrate(stepper(), system, final_time=final_time, n_steps=n_steps)
assert_allclose(
system.state,
system.analytical_solution(final_time),
rtol=Tolerance.rtol(),
atol=Tolerance.atol(),
)
def test_against_scalar_exponential(self, stepper):
system = ScalarExponentialDecaySystem(-1, 1)
final_time = 1
n_steps = 1000
integrate(stepper(), system, final_time=final_time, n_steps=n_steps)
assert_allclose(
system.state,
system.analytical_solution(final_time),
rtol=Tolerance.rtol() * 1e3,
atol=Tolerance.atol(),
)
def test_symplectics_against_ellipse_motion(self, symplectic_stepper):
from elastica.systems.analytical import SimpleSystemWithPositionsDirectors
random_start_position = np.random.randn(3, 1)
random_end_position = np.random.randn(3, 1)
random_directors, _ = np.linalg.qr(np.random.randn(3, 3))
random_directors = random_directors.reshape(3, 3, 1)
rod_like_system = SimpleSystemWithPositionsDirectors(
random_start_position, random_end_position, random_directors)
final_time = 1.0
n_steps = 1000
stepper = symplectic_stepper()
integrate(stepper,
rod_like_system,
final_time=final_time,
n_steps=n_steps)
assert_allclose(
rod_like_system.position_collection,
rod_like_system.analytical_solution("Positions", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
assert_allclose(
rod_like_system.velocity_collection,
rod_like_system.analytical_solution("Velocity", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
assert_allclose(
rod_like_system.director_collection,
rod_like_system.analytical_solution("Directors", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
def test_hybrid_symplectic_against_analytical_system(
self, symplectic_stepper):
system = SecondOrderHybridSystem()
final_time = 1.0
n_steps = 2000
stepper = SymplecticCosseratRodStepper(
symplectic_stepper=symplectic_stepper())
integrate(stepper, system, final_time=final_time, n_steps=n_steps)
assert_allclose(
system.final_solution(final_time),
system.analytical_solution(final_time),
rtol=Tolerance.rtol() * 1e2,
atol=Tolerance.atol(),
)
def test_explicit_against_analytical_system(self, explicit_stepper):
system = SecondOrderHybridSystem()
final_time = 1.0
n_steps = 2000
integrate(explicit_stepper(),
system,
final_time=final_time,
n_steps=n_steps)
assert_allclose(
system.final_solution(final_time),
system.analytical_solution(final_time),
rtol=Tolerance.rtol() * 1e2,
atol=Tolerance.atol(),
)
def test_explicit_steppers(self, explicit_stepper):
collective_system = ScalarExponentialDampedHarmonicOscillatorCollectiveSystem(
)
final_time = 1.0
if explicit_stepper == EulerForward:
# Euler requires very small time-steps and in order not to slow down test,
# we are scaling the difference between analytical and numerical solution.
n_steps = 25000
scale = 1e3
else:
n_steps = 500
scale = 1
stepper = explicit_stepper()
dt = np.float64(float(final_time) / n_steps)
time = np.float64(0.0)
tol = Tolerance.atol()
# Before stepping, let's extend the interface of the stepper
# while providing memory slots
from elastica._elastica_numpy._systems import make_memory_for_explicit_stepper
memory_collection = make_memory_for_explicit_stepper(
stepper, collective_system)
from elastica._elastica_numpy._timestepper import extend_stepper_interface
do_step, stagets_and_updates = extend_stepper_interface(
stepper, collective_system)
while np.abs(final_time - time) > 1e5 * tol:
# time = stepper.do_step(collective_system, memory_collection, time, dt)
time = do_step(
stepper,
stagets_and_updates,
collective_system,
memory_collection,
time,
dt,
)
for system in collective_system:
assert_allclose(
system.state,
system.analytical_solution(final_time),
rtol=Tolerance.rtol() * scale,
atol=Tolerance.atol() * scale,
)
def test_symplectic_steppers(self, symplectic_stepper):
collective_system = SymplecticUndampedHarmonicOscillatorCollectiveSystem(
)
final_time = 1.0
n_steps = 2000
stepper = symplectic_stepper()
integrate(stepper,
collective_system,
final_time=final_time,
n_steps=n_steps)
for system in collective_system:
assert_allclose(
*system.compute_energy(final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
def test_explicit_against_ellipse_motion(self, explicit_stepper):
from elastica.systems.analytical import SimpleSystemWithPositionsDirectors
rod_like_system = SimpleSystemWithPositionsDirectors(
np.array([0.0, 0.0, 0.0]), np.random.randn(3, 3, 1))
final_time = 1.0
n_steps = 500
stepper = explicit_stepper()
integrate(stepper,
rod_like_system,
final_time=final_time,
n_steps=n_steps)
assert_allclose(
rod_like_system.position_collection,
rod_like_system.analytical_solution("Positions", final_time),
rtol=Tolerance.rtol() * 1e1,
atol=Tolerance.atol(),
)
