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test updates

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- move generalizable fixtures out into conftest.py
- move some other functions out to utils
- fix test_poynting_planes() for fdtd
This commit is contained in:
Jan Petykiewicz 2019-10-27 16:12:30 -07:00
parent 9f4a515eca
commit 8fc96c13ab
3 changed files with 131 additions and 117 deletions
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92
meanas/test/conftest.py Normal file
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@ -0,0 +1,92 @@
from typing import List, Tuple
import numpy
import pytest
PRNG = numpy.random.RandomState(12345)
#####################################
# Test fixtures
#####################################
@pytest.fixture(scope='module',
params=[(5, 5, 1),
(5, 1, 5),
(5, 5, 5),
#(7, 7, 7),
])
def shape(request):
yield (3, *request.param)
@pytest.fixture(scope='module', params=[1.0, 1.5])
def epsilon_bg(request):
yield request.param
@pytest.fixture(scope='module', params=[1.0, 2.5])
def epsilon_fg(request):
yield request.param
@pytest.fixture(scope='module', params=['center', '000', 'random'])
def epsilon(request, shape, epsilon_bg, epsilon_fg):
is3d = (numpy.array(shape) == 1).sum() == 0
if is3d:
if request.param == '000':
pytest.skip('Skipping 000 epsilon because test is 3D (for speed)')
if epsilon_bg != 1:
pytest.skip('Skipping epsilon_bg != 1 because test is 3D (for speed)')
if epsilon_fg not in (1.0, 2.0):
pytest.skip('Skipping epsilon_fg not in (1, 2) because test is 3D (for speed)')
epsilon = numpy.full(shape, epsilon_bg, dtype=float)
if request.param == 'center':
epsilon[:, shape[1]//2, shape[2]//2, shape[3]//2] = epsilon_fg
elif request.param == '000':
epsilon[:, 0, 0, 0] = epsilon_fg
elif request.param == 'random':
epsilon[:] = PRNG.uniform(low=min(epsilon_bg, epsilon_fg),
high=max(epsilon_bg, epsilon_fg),
size=shape)
yield epsilon
@pytest.fixture(scope='module', params=[1.0])#, 1.5])
def j_mag(request):
yield request.param
@pytest.fixture(scope='module', params=['center', 'random'])
def j_distribution(request, shape, j_mag):
j = numpy.zeros(shape)
if request.param == 'center':
j[:, shape[1]//2, shape[2]//2, shape[3]//2] = j_mag
elif request.param == '000':
j[:, 0, 0, 0] = j_mag
elif request.param == 'random':
j[:] = PRNG.uniform(low=-j_mag, high=j_mag, size=shape)
yield j
@pytest.fixture(scope='module', params=[1.0, 1.5])
def dx(request):
yield request.param
@pytest.fixture(scope='module', params=['uniform'])
def dxes(request, shape, dx):
if request.param == 'uniform':
dxes = [[numpy.full(s, dx) for s in shape[1:]] for _ in range(2)]
yield dxes
@pytest.fixture(scope='module',
params=[(0, 4, 8),
#(0,),
]
)
def j_steps(request):
yield request.param

145
meanas/test/test_fdtd.py
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@ -1,21 +1,11 @@
import numpy
import pytest
import dataclasses
from typing import List, Tuple
import dataclasses
import pytest
import numpy
from numpy.testing import assert_allclose, assert_array_equal
from meanas import fdtd
prng = numpy.random.RandomState(12345)
def assert_fields_close(a, b, *args, **kwargs):
numpy.testing.assert_allclose(a, b, verbose=False, err_msg='Fields did not match:\n{}\n{}'.format(numpy.rollaxis(a, -1),
numpy.rollaxis(b, -1)), *args, **kwargs)
def assert_close(a, b, *args, **kwargs):
numpy.testing.assert_allclose(a, b, *args, **kwargs)
from .. import fdtd
from .utils import assert_close, assert_fields_close
def test_initial_fields(sim):
@ -101,40 +91,43 @@ def test_poynting_divergence(sim):
def test_poynting_planes(sim):
mask = (sim.js[0] != 0)
mask = (sim.js[0] != 0).any(axis=0)
if mask.sum() > 1:
pytest.skip('test_poynting_planes can only test single point sources')
pytest.skip('test_poynting_planes can only test single point sources, got {}'.format(mask.sum()))
args = {'dxes': sim.dxes,
'epsilon': sim.epsilon}
dV = numpy.prod(numpy.meshgrid(*sim.dxes[0], indexing='ij'), axis=0)
mx = numpy.roll(mask, (-1, -1), axis=(0, 1))
my = numpy.roll(mask, -1, axis=2)
mz = numpy.roll(mask, (+1, -1), axis=(0, 3))
px = numpy.roll(mask, -1, axis=0)
py = mask.copy()
pz = numpy.roll(mask, +1, axis=0)
mx = numpy.roll(mask, -1, axis=0)
my = numpy.roll(mask, -1, axis=1)
mz = numpy.roll(mask, -1, axis=2)
u_eprev = None
for ii in range(1, 8):
u_hstep = fdtd.energy_hstep(e0=sim.es[ii-1], h1=sim.hs[ii], e2=sim.es[ii], **args)
u_estep = fdtd.energy_estep(h0=sim.hs[ii], e1=sim.es[ii], h2=sim.hs[ii + 1], **args)
delta_j_B = fdtd.delta_energy_j(j0=sim.js[ii], e1=sim.es[ii], dxes=sim.dxes)
du_half_h2e = u_estep - u_hstep - delta_j_B
s_h2e = -fdtd.poynting(e=sim.es[ii], h=sim.hs[ii], dxes=sim.dxes) * sim.dt
planes = [s_h2e[px].sum(), -s_h2e[mx].sum(),
s_h2e[py].sum(), -s_h2e[my].sum(),
s_h2e[pz].sum(), -s_h2e[mz].sum()]
assert_close(sum(planes), (u_estep - u_hstep).sum())
planes = [s_h2e[0, mask].sum(), -s_h2e[0, mx].sum(),
s_h2e[1, mask].sum(), -s_h2e[1, my].sum(),
s_h2e[2, mask].sum(), -s_h2e[2, mz].sum()]
assert_close(sum(planes), du_half_h2e[mask])
if u_eprev is None:
u_eprev = u_estep
continue
delta_j_A = fdtd.delta_energy_j(j0=sim.js[ii], e1=sim.es[ii-1], dxes=sim.dxes)
du_half_e2h = u_hstep - u_eprev - delta_j_A
s_e2h = -fdtd.poynting(e=sim.es[ii - 1], h=sim.hs[ii], dxes=sim.dxes) * sim.dt
planes = [s_e2h[px].sum(), -s_e2h[mx].sum(),
s_e2h[py].sum(), -s_e2h[my].sum(),
s_e2h[pz].sum(), -s_e2h[mz].sum()]
assert_close(sum(planes), (u_hstep - u_eprev).sum())
planes = [s_e2h[0, mask].sum(), -s_e2h[0, mx].sum(),
s_e2h[1, mask].sum(), -s_e2h[1, my].sum(),
s_e2h[2, mask].sum(), -s_e2h[2, mz].sum()]
assert_close(sum(planes), du_half_e2h[mask])
# previous half-step
u_eprev = u_estep
@ -143,94 +136,14 @@ def test_poynting_planes(sim):
#####################################
# Test fixtures
#####################################
@pytest.fixture(scope='module',
params=[(5, 5, 1),
(5, 1, 5),
(5, 5, 5),
# (7, 7, 7),
])
def shape(request):
yield (3, *request.param)
# Also see conftest.py
@pytest.fixture(scope='module', params=[0.3])
@pytest.fixture(params=[0.3])
def dt(request):
yield request.param
@pytest.fixture(scope='module', params=[1.0, 1.5])
def epsilon_bg(request):
yield request.param
@pytest.fixture(scope='module', params=[1.0, 2.5])
def epsilon_fg(request):
yield request.param
@pytest.fixture(scope='module', params=['center', '000', 'random'])
def epsilon(request, shape, epsilon_bg, epsilon_fg):
is3d = (numpy.array(shape) == 1).sum() == 0
if is3d:
if request.param == '000':
pytest.skip('Skipping 000 epsilon because test is 3D (for speed)')
if epsilon_bg != 1:
pytest.skip('Skipping epsilon_bg != 1 because test is 3D (for speed)')
if epsilon_fg not in (1.0, 2.0):
pytest.skip('Skipping epsilon_fg not in (1, 2) because test is 3D (for speed)')
epsilon = numpy.full(shape, epsilon_bg, dtype=float)
if request.param == 'center':
epsilon[:, shape[1]//2, shape[2]//2, shape[3]//2] = epsilon_fg
elif request.param == '000':
epsilon[:, 0, 0, 0] = epsilon_fg
elif request.param == 'random':
epsilon[:] = prng.uniform(low=min(epsilon_bg, epsilon_fg),
high=max(epsilon_bg, epsilon_fg),
size=shape)
yield epsilon
@pytest.fixture(scope='module', params=[1.0])#, 1.5])
def j_mag(request):
yield request.param
@pytest.fixture(scope='module', params=['center', 'random'])
def j_distribution(request, shape, j_mag):
j = numpy.zeros(shape)
if request.param == 'center':
j[:, shape[1]//2, shape[2]//2, shape[3]//2] = j_mag
elif request.param == '000':
j[:, 0, 0, 0] = j_mag
elif request.param == 'random':
j[:] = prng.uniform(low=-j_mag, high=j_mag, size=shape)
yield j
@pytest.fixture(scope='module', params=[1.0, 1.5])
def dx(request):
yield request.param
@pytest.fixture(scope='module', params=['uniform'])
def dxes(request, shape, dx):
if request.param == 'uniform':
dxes = [[numpy.full(s, dx) for s in shape[1:]] for _ in range(2)]
yield dxes
@pytest.fixture(scope='module',
params=[(0,),
(0, 4, 8),
]
)
def j_steps(request):
yield request.param
@dataclasses.dataclass()
class SimResult:
shape: Tuple[int]
@ -244,7 +157,7 @@ class SimResult:
js: List[numpy.ndarray] = dataclasses.field(default_factory=list)
@pytest.fixture(scope='module')
@pytest.fixture()
def sim(request, shape, epsilon, dxes, dt, j_distribution, j_steps):
is3d = (numpy.array(shape) == 1).sum() == 0
if is3d:
@ -281,5 +194,3 @@ def sim(request, shape, epsilon, dxes, dt, j_distribution, j_steps):
sim.es.append(e)
sim.hs.append(h)
return sim

11
meanas/test/utils.py Normal file
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@ -0,0 +1,11 @@
import numpy
def assert_fields_close(x, y, *args, **kwargs):
numpy.testing.assert_allclose(x, y, verbose=False,
err_msg='Fields did not match:\n{}\n{}'.format(numpy.rollaxis(x, -1),
numpy.rollaxis(y, -1)), *args, **kwargs)
def assert_close(x, y, *args, **kwargs):
numpy.testing.assert_allclose(x, y, *args, **kwargs)