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test_fragment_stats.py
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test_fragment_stats.py
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import unittest
import meep as mp
def make_dft_vecs(flx_reg=None, n2f_reg=None, frc_reg=None, fldc=None, flds=None, fldw=None, fld_cmp=None):
dft_vecs = {
'flux_regions': flx_reg,
'n2f_regions': n2f_reg,
'force_regions': frc_reg,
'fields_center': fldc,
'fields_size': flds,
'fields_where': fldw,
'fields_components': fld_cmp
}
return dft_vecs
def make_sim(cell, res, pml, dims, create_gv=True, k_point=False):
sim = mp.Simulation(cell_size=cell, resolution=res, boundary_layers=pml, dimensions=dims, k_point=k_point)
if create_gv:
sim._create_grid_volume(False)
return sim
class TestFragmentStats(unittest.TestCase):
def check_stats(self, fragment, a_eps, a_mu, nonlin, susc, cond):
self.assertEqual(fragment.num_anisotropic_eps_pixels, a_eps)
self.assertEqual(fragment.num_anisotropic_mu_pixels, a_mu)
self.assertEqual(fragment.num_nonlinear_pixels, nonlin)
self.assertEqual(fragment.num_susceptibility_pixels, susc)
self.assertEqual(fragment.num_nonzero_conductivity_pixels, cond)
def get_fragment_stats(self, block_size, cell_size, dims, box_center=mp.Vector3(), dft_vecs=None,
def_mat=mp.air, sym=[], geom=None, pml=[]):
mat = mp.Medium(
epsilon=12,
epsilon_offdiag=mp.Vector3(z=1),
mu_offdiag=mp.Vector3(x=20),
E_chi2_diag=mp.Vector3(1, 1),
H_chi3_diag=mp.Vector3(z=1),
E_susceptibilities=[mp.LorentzianSusceptibility(), mp.NoisyLorentzianSusceptibility()],
H_susceptibilities=[mp.DrudeSusceptibility()],
D_conductivity_diag=mp.Vector3(y=1),
B_conductivity_diag=mp.Vector3(x=1, z=1)
)
if geom is None:
geom = [mp.Block(size=block_size, center=box_center, material=mat)]
sim = mp.Simulation(cell_size=cell_size, resolution=10, geometry=geom, dimensions=dims,
default_material=def_mat, symmetries=sym, boundary_layers=pml)
if dft_vecs:
if dft_vecs['flux_regions']:
sim.add_flux(1, 0.5, 5, *dft_vecs['flux_regions'])
if dft_vecs['n2f_regions']:
sim.add_near2far(1, 0.5, 7, *dft_vecs['n2f_regions'])
if dft_vecs['force_regions']:
sim.add_force(1, 0.5, 9, *dft_vecs['force_regions'])
if dft_vecs['fields_components']:
sim.add_dft_fields(dft_vecs['fields_components'], 0, 1, 5, where=dft_vecs['fields_where'],
center=dft_vecs['fields_center'], size=dft_vecs['fields_size'])
gv = sim._create_grid_volume(False)
stats = sim._compute_fragment_stats(gv)
return stats
def _test_1d(self, sym, pml=[]):
# A z=30 cell, with a size 10 block in the middle.
# flux covering first 10 units, near2far covering second 10, and force covering third
dft_vecs = make_dft_vecs(
[mp.FluxRegion(mp.Vector3(z=-10), size=mp.Vector3(z=10))],
[mp.Near2FarRegion(mp.Vector3(), size=mp.Vector3(z=10))],
[mp.ForceRegion(mp.Vector3(z=10), direction=mp.X, size=mp.Vector3(z=10))]
)
fs = self.get_fragment_stats(mp.Vector3(z=10), mp.Vector3(z=30), 1, dft_vecs=dft_vecs, sym=sym, pml=pml)
sym_factor = 2 if sym else 1
self.check_stats(fs,
a_eps=300 / sym_factor,
a_mu=300 / sym_factor,
nonlin=300 / sym_factor,
susc=300 / sym_factor,
cond=300 / sym_factor)
# Check DFT regions
self.assertEqual(fs.num_dft_pixels, 40800)
self.fs = fs
def test_1d(self):
self._test_1d([])
def test_1d_with_symmetry(self):
self._test_1d([mp.Mirror(mp.X)])
def test_1d_with_pml(self):
self._test_1d([], pml=[mp.PML(1)])
self.assertEqual(self.fs.num_2d_pml_pixels, 0)
self.assertEqual(self.fs.num_3d_pml_pixels, 0)
self.assertEqual(self.fs.num_1d_pml_pixels, 20)
def test_1d_with_overlap(self):
# A z=30 cell, with a block covering the middle 20 units.
mat = mp.Medium(H_susceptibilities=[mp.DrudeSusceptibility()])
fs = self.get_fragment_stats(mp.Vector3(z=20), mp.Vector3(z=30), 1, def_mat=mat)
self.check_stats(fs, a_eps=300, a_mu=300, nonlin=600, susc=700, cond=600)
def test_1d_with_partial_fragment(self):
# A cell with z=26, with a 16 unit block in the center
# dft_flux with 2 volumes, 1 covering the first 10 units and one covering
# half of the second 10
dft_vecs = make_dft_vecs(flx_reg=[
mp.FluxRegion(mp.Vector3(z=-9), mp.Vector3(z=8)),
mp.FluxRegion(mp.Vector3(z=-2.5), mp.Vector3(z=5))
])
fs = self.get_fragment_stats(mp.Vector3(z=16), mp.Vector3(z=26), 1, dft_vecs=dft_vecs)
self.check_stats(fs, a_eps=260, a_mu=260, nonlin=480, susc=480, cond=480)
# Check dft stats
self.assertEqual(fs.num_dft_pixels, 10400)
def test_1d_dft_fields(self):
# A z=30 cell with a block covering the middle 10 units.
# dft_fields covering first 10 units
dft_vecs = make_dft_vecs(fldc=mp.Vector3(z=-10), flds=mp.Vector3(z=10), fld_cmp=[mp.X, mp.Y])
fs = self.get_fragment_stats(mp.Vector3(z=10), mp.Vector3(z=30), 1, dft_vecs=dft_vecs)
self.assertEqual(fs.num_dft_pixels, 4000)
# Same test with volume instead of center and size
dft_vecs = make_dft_vecs(fldw=mp.Volume(mp.Vector3(z=-10), mp.Vector3(z=10)), fld_cmp=[mp.X, mp.Y])
fs = self.get_fragment_stats(mp.Vector3(z=10), mp.Vector3(z=30), 1, dft_vecs=dft_vecs)
self.assertEqual(fs.num_dft_pixels, 4000)
def _test_2d(self, sym, pml=[]):
# A 30 x 30 cell, with a 10 x 10 block in the middle
# flux covering top-left 10x10, near2far covering top-middle 10x10, force covering top-right
dft_vecs = make_dft_vecs(
[mp.FluxRegion(mp.Vector3(-10, 10), size=mp.Vector3(10, 10))],
[mp.Near2FarRegion(mp.Vector3(0, 10), size=mp.Vector3(10, 10))],
[mp.ForceRegion(mp.Vector3(10, 10), direction=mp.X, size=mp.Vector3(10, 10))]
)
fs = self.get_fragment_stats(mp.Vector3(10, 10), mp.Vector3(30, 30), 2,
dft_vecs=dft_vecs, sym=sym, pml=pml)
# Check fragment boxes
self.assertEqual(fs.box.low.x, -15)
self.assertEqual(fs.box.low.y, -15)
self.assertEqual(fs.box.high.x, 15)
self.assertEqual(fs.box.high.y, 15)
# Middle fragment contains entire block
sym_factor = 4 if sym else 1
self.check_stats(fs,
a_eps=90000 / sym_factor,
a_mu=90000 / sym_factor,
nonlin=30000 / sym_factor,
susc=30000 / sym_factor,
cond=30000 / sym_factor)
# Check DFT regions
self.assertEqual(fs.num_dft_pixels, 2040000)
self.fs = fs
def test_2d(self):
self._test_2d([])
def test_2d_with_symmetry(self):
self._test_2d([mp.Mirror(mp.X), mp.Mirror(mp.Y)])
def test_2d_with_pml_all_sides(self):
self._test_2d([], pml=[mp.PML(1, mp.Y), mp.PML(2, mp.X, mp.Low), mp.PML(3, mp.X, mp.High)])
self.assertEqual(self.fs.num_1d_pml_pixels, 19000)
self.assertEqual(self.fs.num_2d_pml_pixels, 1000)
self.assertEqual(self.fs.num_3d_pml_pixels, 0)
def test_2d_with_absorbers(self):
fs = self.get_fragment_stats(mp.Vector3(10, 10), mp.Vector3(30, 30), 2,
geom=[], pml=[mp.Absorber(1)])
self.assertEqual(fs.num_1d_pml_pixels, 0)
self.assertEqual(fs.num_2d_pml_pixels, 0)
self.assertEqual(fs.num_3d_pml_pixels, 0)
self.assertEqual(fs.num_nonzero_conductivity_pixels, 11600)
def test_2d_dft_fields(self):
# A 30 x 30 cell, with a 10 x 10 block in the middle
# dft_fields covering 20 by 20 area in center of cell. Test with volume, and center/size
cmpts = [mp.Ex, mp.Ey, mp.Ez]
dft_fields_size_center = make_dft_vecs(fldc=mp.Vector3(), flds=mp.Vector3(20, 20), fld_cmp=cmpts)
dft_fields_where = make_dft_vecs(fldw=mp.Volume(mp.Vector3(), mp.Vector3(20, 20)), fld_cmp=cmpts)
for dft_vec in [dft_fields_size_center, dft_fields_where]:
fs = self.get_fragment_stats(mp.Vector3(10, 10), mp.Vector3(30, 30), 2, dft_vecs=dft_vec)
self.assertEqual(fs.num_dft_pixels, 300000 + 4*75000 + 4*150000)
def test_2d_pml_and_absorber(self):
blayers = [mp.PML(1, mp.Y, mp.High), mp.PML(2, mp.Y, mp.Low),
mp.Absorber(1, mp.X, mp.High), mp.Absorber(3, mp.X, mp.Low)]
fs = self.get_fragment_stats(mp.Vector3(), mp.Vector3(30, 30), 2, pml=blayers, geom=[])
self.assertEqual(fs.num_nonzero_conductivity_pixels, 12000)
self.assertEqual(fs.num_1d_pml_pixels, 9000)
self.assertEqual(fs.num_2d_pml_pixels, 0)
self.assertEqual(fs.num_3d_pml_pixels, 0)
def _test_3d(self, sym, pml=[]):
# A 30 x 30 x 30 cell with a 10 x 10 x 10 block placed at the center
# flux covering lower-front-left 10x10x10, near2far covering lower-middle-left,
# force covering lower-back-left
dft_vecs = make_dft_vecs(
[mp.FluxRegion(mp.Vector3(-10, -10, -10), size=mp.Vector3(10, 10, 10))],
[mp.Near2FarRegion(mp.Vector3(-10, -10, 0), size=mp.Vector3(10, 10, 10))],
[mp.ForceRegion(mp.Vector3(-10, -10, 10), direction=mp.X, size=mp.Vector3(10, 10, 10))]
)
fs = self.get_fragment_stats(mp.Vector3(10, 10, 10), mp.Vector3(30, 30, 30), 3,
dft_vecs=dft_vecs, sym=sym, pml=pml)
sym_factor = 8 if sym else 1
self.check_stats(fs,
a_eps=27000000 / sym_factor,
a_mu=27000000 / sym_factor,
nonlin=3000000 / sym_factor,
susc=3000000 / sym_factor,
cond=3000000 / sym_factor)
# Check DFT regions
self.assertEqual(fs.num_dft_pixels, 102000000)
self.fs = fs
def test_3d(self):
self._test_3d([])
def test_3d_with_symmetry(self):
self._test_3d([mp.Mirror(mp.X), mp.Mirror(mp.Y), mp.Mirror(mp.Z)])
def test_3d_with_pml(self):
self._test_3d([], pml=[mp.PML(1, mp.Y, mp.High), mp.PML(2, mp.Y, mp.Low), mp.PML(3, mp.X),
mp.PML(1, mp.Z, mp.High), mp.PML(2, mp.Z, mp.Low)])
self.assertEqual(self.fs.num_1d_pml_pixels, 8262000)
self.assertEqual(self.fs.num_2d_pml_pixels, 1188000)
self.assertEqual(self.fs.num_3d_pml_pixels, 54000)
def test_3d_with_absorbers(self):
fs = self.get_fragment_stats(mp.Vector3(), mp.Vector3(30, 30, 30), 3,
geom=[], pml=[mp.Absorber(1)])
self.assertEqual(fs.num_1d_pml_pixels, 0)
self.assertEqual(fs.num_2d_pml_pixels, 0)
self.assertEqual(fs.num_3d_pml_pixels, 0)
self.assertEqual(fs.num_nonzero_conductivity_pixels, 5048000)
def test_cyl(self):
# A 30 x 30 cell, with a 10 x 10 block in the middle
# flux covering top-left fragment, near2far covering top-middle, force covering top-right
dft_vecs = make_dft_vecs(
[mp.FluxRegion(mp.Vector3(-10, z=10), size=mp.Vector3(10, z=10))],
[mp.Near2FarRegion(mp.Vector3(0, z=10), size=mp.Vector3(10, z=10))],
[mp.ForceRegion(mp.Vector3(10, z=10), direction=mp.X, size=mp.Vector3(10, z=10))]
)
fs = self.get_fragment_stats(mp.Vector3(10, 0, 10), mp.Vector3(30, 0, 30),
mp.CYLINDRICAL, dft_vecs=dft_vecs)
self.assertEqual(fs.box.low.x, -15)
self.assertEqual(fs.box.low.z, -15)
self.assertEqual(fs.box.high.x, 15)
self.assertEqual(fs.box.high.z, 15)
self.check_stats(fs, a_eps=90000, a_mu=90000, nonlin=30000, susc=30000, cond=30000)
self.assertEqual(fs.num_dft_pixels, 2040000)
def test_no_geometry(self):
mat = mp.Medium(
epsilon=12,
epsilon_offdiag=mp.Vector3(x=1),
mu_offdiag=mp.Vector3(x=20),
E_chi2_diag=mp.Vector3(1, 1),
H_chi3_diag=mp.Vector3(x=1),
E_susceptibilities=[mp.LorentzianSusceptibility(), mp.NoisyLorentzianSusceptibility()],
H_susceptibilities=[mp.DrudeSusceptibility()],
D_conductivity_diag=mp.Vector3(y=1),
B_conductivity_diag=mp.Vector3(x=1, z=1)
)
fs = self.get_fragment_stats(mp.Vector3(), mp.Vector3(10, 10), 2, def_mat=mat, geom=[])
self.check_stats(fs, a_eps=10000, a_mu=10000, nonlin=30000, susc=30000, cond=30000)
def test_1d_cell_smaller_than_minimum_fragment_size(self):
fs = self.get_fragment_stats(mp.Vector3(z=1), mp.Vector3(z=1), 1)
self.assertEqual(fs.box.low.z, -0.5)
self.assertEqual(fs.box.high.z, 0.5)
self.assertEqual(fs.num_pixels_in_box, 10)
def test_2d_cell_smaller_than_minimum_fragment_size(self):
fs = self.get_fragment_stats(mp.Vector3(1, 1), mp.Vector3(1, 1), 2)
self.assertEqual(fs.box.low.x, -0.5)
self.assertEqual(fs.box.low.y, -0.5)
self.assertEqual(fs.box.high.x, 0.5)
self.assertEqual(fs.box.high.y, 0.5)
self.assertEqual(fs.num_pixels_in_box, 100)
def test_3d_cell_smaller_than_minimum_fragment_size(self):
fs = self.get_fragment_stats(mp.Vector3(1, 1, 1), mp.Vector3(1, 1, 1), 3)
self.assertEqual(fs.box.low.x, -0.5)
self.assertEqual(fs.box.low.y, -0.5)
self.assertEqual(fs.box.low.z, -0.5)
self.assertEqual(fs.box.high.x, 0.5)
self.assertEqual(fs.box.high.y, 0.5)
self.assertEqual(fs.box.high.z, 0.5)
self.assertEqual(fs.num_pixels_in_box, 1000)
class TestPMLToVolList(unittest.TestCase):
def check1d(self, vol, expected_min, expected_max):
min_vec = vol.get_min_corner()
max_vec = vol.get_max_corner()
min_v3 = mp.Vector3(z=min_vec.z())
max_v3 = mp.Vector3(z=max_vec.z())
self.assertEqual(mp.Vector3(z=expected_min), min_v3)
self.assertEqual(mp.Vector3(z=expected_max), max_v3)
def check2d(self, vol, expected_min, expected_max):
min_vec = vol.get_min_corner()
max_vec = vol.get_max_corner()
min_v3 = mp.Vector3(min_vec.x(), min_vec.y())
max_v3 = mp.Vector3(max_vec.x(), max_vec.y())
self.assertEqual(expected_min, min_v3)
self.assertEqual(expected_max, max_v3)
def checkcyl(self, vol, expected_min, expected_max):
min_vec = vol.get_min_corner()
max_vec = vol.get_max_corner()
min_v3 = mp.Vector3(min_vec.r(), 0, min_vec.z())
max_v3 = mp.Vector3(max_vec.r(), 0, max_vec.z())
self.assertEqual(expected_min, min_v3)
self.assertEqual(expected_max, max_v3)
def check3d(self, vol, expected_min, expected_max):
min_vec = vol.get_min_corner()
max_vec = vol.get_max_corner()
min_v3 = mp.Vector3(min_vec.x(), min_vec.y(), min_vec.z())
max_v3 = mp.Vector3(max_vec.x(), max_vec.y(), max_vec.z())
self.assertEqual(expected_min, min_v3)
self.assertEqual(expected_max, max_v3)
def test_1d_all_sides(self):
sim = make_sim(mp.Vector3(z=10), 10, [mp.PML(1)], 1)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v2)
self.assertFalse(v3)
self.assertEqual(len(v1), 2)
self.check1d(v1[0], 4, 5)
self.check1d(v1[1], -5, -4)
def test_1d_high_side(self):
sim = make_sim(mp.Vector3(z=10), 10, [mp.PML(1, side=mp.High)], 1)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v2)
self.assertFalse(v3)
self.assertEqual(len(v1), 1)
self.check1d(v1[0], 4, 5)
def test_1d_two_sides_different_thickness(self):
sim = make_sim(mp.Vector3(z=10), 10, [mp.PML(1, side=mp.High), mp.PML(2, side=mp.Low)], 1)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v2)
self.assertFalse(v3)
self.assertEqual(len(v1), 2)
self.check1d(v1[0], 4, 5)
self.check1d(v1[1], -5, -3)
def test_2d_all_directions_all_sides(self):
sim = make_sim(mp.Vector3(10, 10), 10, [mp.PML(1)], 2)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v3)
self.assertEqual(len(v1), 4)
self.assertEqual(len(v2), 4)
# No overlap
self.check2d(v1[0], mp.Vector3(-4, 4), mp.Vector3(4, 5))
self.check2d(v1[1], mp.Vector3(-4, -5), mp.Vector3(4, -4))
self.check2d(v1[2], mp.Vector3(-5, -4), mp.Vector3(-4, 4))
self.check2d(v1[3], mp.Vector3(4, -4), mp.Vector3(5, 4))
# Two PMLs overlap
self.check2d(v2[0], mp.Vector3(-5, 4), mp.Vector3(-4, 5))
self.check2d(v2[1], mp.Vector3(4, 4), mp.Vector3(5, 5))
self.check2d(v2[2], mp.Vector3(-5, -5), mp.Vector3(-4, -4))
self.check2d(v2[3], mp.Vector3(4, -5), mp.Vector3(5, -4))
def test_2d_all_sides_different_thickness_in_X(self):
# Thickness 1 on top and bottom, 3 on right, 2 on left
pmls = [
mp.PML(thickness=1, direction=mp.Y),
mp.PML(thickness=3, direction=mp.X, side=mp.High),
mp.PML(thickness=2, direction=mp.X, side=mp.Low)
]
sim = make_sim(mp.Vector3(10, 10), 10, pmls, 2)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v3)
self.assertEqual(len(v1), 4)
self.assertEqual(len(v2), 4)
# No overlap
self.check2d(v1[0], mp.Vector3(-3, 4), mp.Vector3(2, 5))
self.check2d(v1[1], mp.Vector3(-3, -5), mp.Vector3(2, -4))
self.check2d(v1[2], mp.Vector3(-5, -4), mp.Vector3(-3, 4))
self.check2d(v1[3], mp.Vector3(2, -4), mp.Vector3(5, 4))
# Two PMLs overlap
self.check2d(v2[0], mp.Vector3(-5, 4), mp.Vector3(-3, 5))
self.check2d(v2[1], mp.Vector3(2, 4), mp.Vector3(5, 5))
self.check2d(v2[2], mp.Vector3(-5, -5), mp.Vector3(-3, -4))
self.check2d(v2[3], mp.Vector3(2, -5), mp.Vector3(5, -4))
def test_2d_three_sides_different_thickness(self):
# Thickness 3 on top, 2 on left, 1 on right
pmls = [
mp.PML(3, mp.Y, mp.High),
mp.PML(2, mp.X, mp.Low),
mp.PML(1, mp.X, mp.High),
]
sim = make_sim(mp.Vector3(10, 10), 10, pmls, 2)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v3)
self.assertEqual(len(v1), 3)
self.assertEqual(len(v2), 2)
# No overlap
self.check2d(v1[0], mp.Vector3(-3, 2), mp.Vector3(4, 5))
self.check2d(v1[1], mp.Vector3(-5, -5), mp.Vector3(-3, 2))
self.check2d(v1[2], mp.Vector3(4, -5), mp.Vector3(5, 2))
# Two PMLs overlap
self.check2d(v2[0], mp.Vector3(-5, 2), mp.Vector3(-3, 5))
self.check2d(v2[1], mp.Vector3(4, 2), mp.Vector3(5, 5))
def test_2d_two_sides(self):
sim = make_sim(mp.Vector3(10, 10), 10, [mp.PML(1, mp.X)], 2)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v2)
self.assertFalse(v3)
self.assertEqual(len(v1), 2)
self.check2d(v1[0], mp.Vector3(-5, -5), mp.Vector3(-4, 5))
self.check2d(v1[1], mp.Vector3(4, -5), mp.Vector3(5, 5))
def test_3d_all_directions_all_sides(self):
sim = make_sim(mp.Vector3(10, 10, 10), 10, [mp.PML(1)], 3)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertEqual(len(v1), 6)
self.assertEqual(len(v2), 12)
self.assertEqual(len(v3), 8)
# No overlapping regions (cube faces)
# top
self.check3d(v1[0], mp.Vector3(-4, 4, -4), mp.Vector3(4, 5, 4))
# bottom
self.check3d(v1[1], mp.Vector3(-4, -5, -4), mp.Vector3(4, -4, 4))
# left
self.check3d(v1[2], mp.Vector3(-5, -4, -4), mp.Vector3(-4, 4, 4))
# right
self.check3d(v1[3], mp.Vector3(4, -4, -4), mp.Vector3(5, 4, 4))
# near
self.check3d(v1[4], mp.Vector3(-4, -4, -5), mp.Vector3(4, 4, -4))
# far
self.check3d(v1[5], mp.Vector3(-4, -4, 4), mp.Vector3(4, 4, 5))
# Two PMLs overlap (cube edges)
# top left
self.check3d(v2[0], mp.Vector3(-5, 4, -4), mp.Vector3(-4, 5, 4))
# top right
self.check3d(v2[1], mp.Vector3(4, 4, -4), mp.Vector3(5, 5, 4))
# top near
self.check3d(v2[2], mp.Vector3(-4, 4, -5), mp.Vector3(4, 5, -4))
# top far
self.check3d(v2[3], mp.Vector3(-4, 4, 4), mp.Vector3(4, 5, 5))
# bottom left
self.check3d(v2[4], mp.Vector3(-5, -5, -4), mp.Vector3(-4, -4, 4))
# bottom right
self.check3d(v2[5], mp.Vector3(4, -5, -4), mp.Vector3(5, -4, 4))
# bottom near
self.check3d(v2[6], mp.Vector3(-4, -5, -5), mp.Vector3(4, -4, -4))
# bottom far
self.check3d(v2[7], mp.Vector3(-4, -5, 4), mp.Vector3(4, -4, 5))
# near left
self.check3d(v2[8], mp.Vector3(-5, -4, -5), mp.Vector3(-4, 4, -4))
# near right
self.check3d(v2[9], mp.Vector3(4, -4, -5), mp.Vector3(5, 4, -4))
# far left
self.check3d(v2[10], mp.Vector3(-5, -4, 4), mp.Vector3(-4, 4, 5))
# far right
self.check3d(v2[11], mp.Vector3(4, -4, 4), mp.Vector3(5, 4, 5))
# Three PMLs overlap (cube corners)
# top left near
self.check3d(v3[0], mp.Vector3(-5, 4, -5), mp.Vector3(-4, 5, -4))
# top right near
self.check3d(v3[1], mp.Vector3(4, 4, -5), mp.Vector3(5, 5, -4))
# top left far
self.check3d(v3[2], mp.Vector3(-5, 4, 4), mp.Vector3(-4, 5, 5))
# top right far
self.check3d(v3[3], mp.Vector3(4, 4, 4), mp.Vector3(5, 5, 5))
# bottom left near
self.check3d(v3[4], mp.Vector3(-5, -5, -5), mp.Vector3(-4, -4, -4))
# bottom right near
self.check3d(v3[5], mp.Vector3(4, -5, -5), mp.Vector3(5, -4, -4))
# bottom left far
self.check3d(v3[6], mp.Vector3(-5, -5, 4), mp.Vector3(-4, -4, 5))
# bottom right far
self.check3d(v3[7], mp.Vector3(4, -5, 4), mp.Vector3(5, -4, 5))
def test_3d_X_direction_only(self):
sim = make_sim(mp.Vector3(10, 10, 10), 10, [mp.PML(1, mp.X)], 3)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertEqual(len(v1), 2)
self.assertEqual(len(v2), 0)
self.assertEqual(len(v3), 0)
# left
self.check3d(v1[0], mp.Vector3(-5, -5, -5), mp.Vector3(-4, 5, 5))
# right
self.check3d(v1[1], mp.Vector3(4, -5, -5), mp.Vector3(5, 5, 5))
def test_cylindrical_all_directions_all_sides(self):
sim = make_sim(mp.Vector3(10, 0, 10), 10, [mp.PML(1)], mp.CYLINDRICAL)
v1, v2, v3 = sim._boundary_layers_to_vol_list(sim.boundary_layers)
self.assertFalse(v3)
self.assertEqual(len(v1), 4)
self.assertEqual(len(v2), 4)
# No overlap
self.checkcyl(v1[0], mp.Vector3(-4, 0, 4), mp.Vector3(4, 0, 5))
self.checkcyl(v1[1], mp.Vector3(-4, 0, -5), mp.Vector3(4, 0, -4))
self.checkcyl(v1[2], mp.Vector3(-5, 0, -4), mp.Vector3(-4, 0, 4))
self.checkcyl(v1[3], mp.Vector3(4, 0, -4), mp.Vector3(5, 0, 4))
# Two PMLs overlap
self.checkcyl(v2[0], mp.Vector3(-5, 0, 4), mp.Vector3(-4, 0, 5))
self.checkcyl(v2[1], mp.Vector3(4, 0, 4), mp.Vector3(5, 0, 5))
self.checkcyl(v2[2], mp.Vector3(-5, 0, -5), mp.Vector3(-4, 0, -4))
self.checkcyl(v2[3], mp.Vector3(4, 0, -5), mp.Vector3(5, 0, -4))
@unittest.skipIf(mp.count_processors() != 2, "MPI specific test")
class TestChunkCommunicationArea(unittest.TestCase):
def test_2d_periodic(self):
sim = make_sim(mp.Vector3(10, 6), 10, [mp.PML(1)], 2, k_point=mp.Vector3(1, 1))
max_comm = sim.get_max_chunk_communication_area()
avg_comm = sim.get_avg_chunk_communication_area()
self.assertEqual(max_comm, 220)
self.assertEqual(avg_comm, 220)
def test_3d_periodic(self):
sim = make_sim(mp.Vector3(10, 8, 6), 10, [mp.PML(1)], 3, k_point=mp.Vector3(1, 1, 1))
max_comm = sim.get_max_chunk_communication_area()
avg_comm = sim.get_avg_chunk_communication_area()
self.assertEqual(max_comm, 2360)
self.assertEqual(avg_comm, 2360)
def test_2d(self):
sim = make_sim(mp.Vector3(10, 6), 10, [mp.PML(1)], 2)
max_comm = sim.get_max_chunk_communication_area()
avg_comm = sim.get_avg_chunk_communication_area()
self.assertEqual(max_comm, 60)
self.assertEqual(avg_comm, 60)
def test_3d(self):
sim = make_sim(mp.Vector3(10, 8, 6), 10, [mp.PML(1)], 3)
max_comm = sim.get_max_chunk_communication_area()
avg_comm = sim.get_avg_chunk_communication_area()
self.assertEqual(max_comm, 480)
self.assertEqual(avg_comm, 480)
if __name__ == '__main__':
unittest.main()