def test_calculate_displacement(self):
# Arrange
n = np.ones(1)
grid = (1, 1)
particles = DummyParticles(Default, n_sd=len(n))
particles.set_mesh(grid)
a = .1
b = .2
w = .25
particles.set_environment(
DummyEnvironment, ((np.array([[a, b]]).T, np.array([[0, 0]])), ))
positions = Default.from_ndarray(np.array([[w, 0]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Advection(particles=particles, scheme='FTFS')
# Act
sut.calculate_displacement(sut.displacement, sut.courant,
particles.state.cell_origin,
particles.state.position_in_cell)
# Assert
np.testing.assert_equal(sut.displacement[0, 0], (1 - w) * a + w * b)
def test_recalculate_cell_id(self):
# Arrange
n = np.ones(1, dtype=np.int64)
droplet_id = 0
initial_position = Default.from_ndarray(np.array([[0], [0]]))
grid = (1, 1)
particles = DummyCore(backend, n_sd=1)
particles.environment = DummyEnvironment(grid=grid)
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
initial_position)
cell_origin[0, droplet_id] = .1
cell_origin[1, droplet_id] = .2
cell_id[droplet_id] = -1
attribute = {
'n': n,
'cell id': cell_id,
'cell origin': cell_origin,
'position in cell': position_in_cell
}
particles.build(attribute)
sut = particles.state
# Act
sut.recalculate_cell_id()
# Assert
assert sut['cell id'][droplet_id] == 0
def test_boundary_condition(self):
# Arrange
n = np.ones(1)
grid = (1, 1)
particles = DummyParticles(Default, n_sd=len(n))
particles.set_mesh(grid)
particles.set_environment(
DummyEnvironment, ((np.array([[0, 0]]).T, np.array([[0, 0]])), ))
droplet_id = 0
positions = Default.from_ndarray(np.array([[0, 0]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Advection(particles=particles)
state = particles.state
state.cell_origin[droplet_id, 0] = 1.1
state.cell_origin[droplet_id, 1] = 1.2
# Act
sut.boundary_condition(state.cell_origin)
# Assert
assert state.cell_origin[droplet_id, 0] == 0
assert state.cell_origin[droplet_id, 1] == 0
def test_update_position(self):
# Arrange
n = np.ones(1)
grid = (1, 1)
particles = DummyParticles(Default, n_sd=len(n))
particles.set_mesh(grid)
particles.set_environment(
DummyEnvironment, ((np.array([[0, 0]]).T, np.array([[0, 0]])), ))
droplet_id = 0
px = .1
py = .2
positions = Default.from_ndarray(np.array([[px, py]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Advection(particles=particles)
sut.displacement[droplet_id, 0] = .1
sut.displacement[droplet_id, 1] = .2
# Act
sut.update_position(particles.state.position_in_cell, sut.displacement)
# Assert
for d in range(2):
assert particles.state.position_in_cell[droplet_id, d] == (
positions[droplet_id, d] + sut.displacement[droplet_id, d])
def test_boundary_condition(self):
# Arrange
n = np.ones(1, dtype=np.int64)
grid = (1, 1)
particles = DummyParticles(Default, n_sd=len(n), dt=1)
particles.set_mesh(grid)
particles.set_environment(
DummyEnvironment, ((np.array([[0, 0]]).T, np.array([[0, 0]])), ))
positions = Default.from_ndarray(np.array([[0, 0]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Displacement(particles=particles, sedimentation=True)
particles.set_terminal_velocity(ConstantTerminalVelocity)
# Act
sut()
# Assert
assert particles.state.SD_num == 0
def test_compute_gamma():
# Arrange
n = 87
prob = np.linspace(0, 3, n, endpoint=True)
rand = np.linspace(0, 1, n, endpoint=False)
from PySDM.backends.default import Default
backend = Default()
expected = lambda p, r: p // 1 + (r < p - p // 1)
for p in prob:
for r in rand:
# Act
prob_arr = backend.Storage.from_ndarray(np.full((1, ), p))
rand_arr = backend.Storage.from_ndarray(np.full((1, ), r))
backend.compute_gamma(prob_arr, rand_arr)
# Assert
assert expected(p, r) == prob_arr.to_ndarray()[0]
def test_recalculate_cell_id(self):
# Arrange
n = np.ones(1)
droplet_id = 0
initial_position = Default.from_ndarray(np.array([[0, 0]]))
grid = (1, 1)
particles = DummyParticles(backend, n_sd=1)
particles.set_mesh(grid)
particles.set_environment(DummyEnvironment, (None,))
sut = TestableStateFactory.state_2d(n=n, intensive={}, extensive={},
particles=particles, positions=initial_position)
sut.cell_origin[droplet_id, 0] = .1
sut.cell_origin[droplet_id, 1] = .2
sut.cell_id[droplet_id] = -1
# Act
sut.recalculate_cell_id()
# Assert
assert sut.cell_id[droplet_id] == 0
def get_displacement(self):
particles = DummyParticles(Default, n_sd=len(self.n))
particles.set_environment(
DummyEnvironment, {
'dt': self.dt,
'grid': self.grid,
'courant_field_data': self.courant_field_data
})
positions = Default.from_ndarray(np.array(self.positions))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
attributes = {
'n': self.n,
'cell id': cell_id,
'cell origin': cell_origin,
'position in cell': position_in_cell
}
particles.get_particles(attributes)
sut = Displacement(particles_builder=particles,
scheme=self.scheme,
sedimentation=self.sedimentation)
return sut, particles
def test_advection(self):
n = np.ones(1)
grid = (3, 3)
particles = DummyParticles(Default, n_sd=len(n))
particles.set_mesh(grid)
particles.set_environment(DummyEnvironment, ((np.ones(
(4, 3)), np.zeros((3, 4))), ))
positions = Default.from_ndarray(np.array([[1.5, 1.5]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Advection(particles=particles)
sut()
np.testing.assert_array_equal(particles.state.cell_origin[0, :],
np.array([2, 1]))
def test_single_cell(self):
# Arrange
n = np.ones(1)
grid = (1, 1)
particles = DummyParticles(Default, n_sd=len(n))
particles.set_mesh(grid)
particles.set_environment(
DummyEnvironment,
((np.array([[.1, .2]]).T, np.array([[.3, .4]])), ))
positions = Default.from_ndarray(np.array([[0.5, 0.5]]))
cell_id, cell_origin, position_in_cell = particles.mesh.cellular_attributes(
positions)
particles.state = StateFactory.state(n=n,
intensive={},
extensive={},
cell_id=cell_id,
cell_origin=cell_origin,
position_in_cell=position_in_cell,
particles=particles)
sut = Advection(particles=particles)
# Act
sut()
"""
Created at 03.08.2019
"""
import pytest
from PySDM.backends import ThrustRTC
from PySDM.backends.default import Default
backend = Default()
backends = []
if ThrustRTC.ENABLE:
backends.append(ThrustRTC())
'''
number parametrisation: number_float, number_int, number
'''
__number__ = {
'f_zero': pytest.param(0.),
'f_one': pytest.param(1.),
'f_big_positive': pytest.param(100087.),
'f_small_positive': pytest.param(.00697),
'f_big_negative_frac': pytest.param(-100005.5723),
'f_small_negative': pytest.param(-.0051),
'i_one': pytest.param(1),
'i_big_positive': pytest.param(100063),
'i_big_negative': pytest.param(-200039)
}
@pytest.fixture(params=[
