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import math
import os
import unittest
import numpy as np
from meep.geom import Cylinder, Vector3
from meep.source import ContinuousSource, EigenModeSource, GaussianSource
import meep as mp
data_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "data"))
class TestEigenModeSource(unittest.TestCase):
def test_eig_lattice_defaults(self):
src = ContinuousSource(5.0)
center = Vector3()
default_lattice = EigenModeSource(src, center)
self.assertEqual(default_lattice.eig_lattice_size, Vector3())
self.assertEqual(default_lattice.eig_lattice_center, Vector3())
elc = Vector3(1, 1, 1)
els = Vector3(1, 1, 1)
custom_lattice = EigenModeSource(
src, center, eig_lattice_center=elc, eig_lattice_size=els
)
self.assertEqual(custom_lattice.eig_lattice_size, els)
self.assertEqual(custom_lattice.eig_lattice_center, elc)
class TestSourceTime(unittest.TestCase):
def test_source_wavelength(self):
g_src = GaussianSource(wavelength=10)
c_src = ContinuousSource(wavelength=10)
self.assertAlmostEqual(1.0 / 10.0, g_src.frequency)
self.assertAlmostEqual(1.0 / 10.0, c_src.frequency)
def test_source_frequency(self):
g_src = GaussianSource(10)
c_src = ContinuousSource(10)
self.assertEqual(10, g_src.frequency)
self.assertEqual(10, c_src.frequency)
with self.assertRaises(ValueError):
GaussianSource()
with self.assertRaises(ValueError):
ContinuousSource()
class TestSourceTypemaps(unittest.TestCase):
def setUp(self):
def dummy_eps(v):
return 1.0
gv = mp.voltwo(16, 16, 10)
gv.center_origin()
sym = mp.mirror(mp.Y, gv)
the_structure = mp.structure(gv, dummy_eps, mp.pml(2), sym)
objects = []
objects.append(Cylinder(1))
mp.set_materials_from_geometry(the_structure, objects)
self.f = mp.fields(the_structure)
self.v = mp.volume(mp.vec(1.1, 0.0), mp.vec(0.0, 0.0))
def test_typemap_swig(self):
src = mp.gaussian_src_time(0.15, 0.1)
self.f.add_volume_source(mp.Ez, src, self.v)
def test_typemap_py(self):
src = GaussianSource(0.15, 0.1)
self.f.add_volume_source(mp.Ez, src, self.v)
def test_custom_source(self):
n = 3.4
w = 1
r = 1
pad = 4
dpml = 2
sxy = 2 * (r + w + pad + dpml)
cell = mp.Vector3(sxy, sxy)
geometry = [
mp.Cylinder(r + w, material=mp.Medium(index=n)),
mp.Cylinder(r, material=mp.air),
]
boundary_layers = [mp.PML(dpml)]
resolution = 10
fcen = 0.15
df = 0.1
# Bump function
def my_src_func(t):
return math.exp(-1 / (1 - ((t - 1) ** 2))) if t > 0 and t < 2 else 0j
sources = [
mp.Source(
src=mp.CustomSource(src_func=my_src_func, end_time=100),
component=mp.Ez,
center=mp.Vector3(r + 0.1),
)
]
symmetries = [mp.Mirror(mp.Y)]
sim = mp.Simulation(
cell_size=cell,
resolution=resolution,
geometry=geometry,
boundary_layers=boundary_layers,
sources=sources,
symmetries=symmetries,
)
h = mp.Harminv(mp.Ez, mp.Vector3(r + 0.1), fcen, df)
sim.run(mp.after_sources(h), until_after_sources=200)
fp = sim.get_field_point(mp.Ez, mp.Vector3(1))
self.assertAlmostEqual(
fp, -0.021997617628500023 + 0j, 5 if mp.is_single_precision() else 7
)
def amp_fun(p):
return p.x + 2 * p.y
class TestAmpFileFunc(unittest.TestCase):
def create_h5data(self):
N = 100
M = 200
self.amp_data = np.zeros((N, M, 1), dtype=np.complex128)
for i in range(N):
for j in range(M):
v = mp.Vector3((i / N) * 0.3 - 0.15, (j / M) * 0.2 - 0.1)
self.amp_data[i, j] = amp_fun(v)
def init_and_run(self, test_type):
cell = mp.Vector3(1, 1)
resolution = 60
fcen = 0.8
df = 0.02
cen = mp.Vector3(0.1, 0.2)
sz = mp.Vector3(0.3, 0.2)
amp_file = os.path.join(data_dir, "amp_func_file")
amp_file += ":amp_data"
if test_type == "file":
sources = [
mp.Source(
mp.ContinuousSource(fcen, fwidth=df),
component=mp.Ez,
center=cen,
size=sz,
amp_func_file=amp_file,
)
]
elif test_type == "func":
sources = [
mp.Source(
mp.ContinuousSource(fcen, fwidth=df),
component=mp.Ez,
center=cen,
size=sz,
amp_func=amp_fun,
)
]
elif test_type == "arr":
sources = [
mp.Source(
mp.ContinuousSource(fcen, fwidth=df),
component=mp.Ez,
center=cen,
size=sz,
amp_data=self.amp_data,
)
]
sim = mp.Simulation(cell_size=cell, resolution=resolution, sources=sources)
sim.run(until=200)
return sim.get_field_point(mp.Ez, mp.Vector3())
def test_amp_file_func(self):
self.create_h5data()
field_point_amp_file = self.init_and_run(test_type="file")
field_point_amp_func = self.init_and_run(test_type="func")
field_point_amp_arr = self.init_and_run(test_type="arr")
self.assertAlmostEqual(field_point_amp_file, field_point_amp_func, places=4)
self.assertAlmostEqual(field_point_amp_arr, field_point_amp_func, places=4)
class TestCustomEigenModeSource(unittest.TestCase):
def test_custom_em_source(self):
resolution = 20
dpml = 2
pml_layers = [mp.PML(thickness=dpml)]
sx = 40
sy = 12
cell_size = mp.Vector3(sx + 2 * dpml, sy)
v0 = 0.15 # pulse center frequency
a = 0.2 * v0 # Gaussian envelope half-width
b = -0.1 # linear chirp rate (positive: up-chirp, negative: down-chirp)
t0 = 15 # peak time
chirp = lambda t: np.exp(1j * 2 * np.pi * v0 * (t - t0)) * np.exp(
-a * (t - t0) ** 2 + 1j * b * (t - t0) ** 2
)
geometry = [
mp.Block(
center=mp.Vector3(0, 0, 0),
size=mp.Vector3(mp.inf, 1, mp.inf),
material=mp.Medium(epsilon=12),
)
]
kx = 0.4 # initial guess for wavevector in x-direction of eigenmode
kpoint = mp.Vector3(kx)
bnum = 1
sources = [
mp.EigenModeSource(
src=mp.CustomSource(src_func=chirp, center_frequency=v0),
center=mp.Vector3(-0.5 * sx + dpml + 1),
size=mp.Vector3(y=sy),
eig_kpoint=kpoint,
eig_band=bnum,
eig_parity=mp.EVEN_Y + mp.ODD_Z,
eig_match_freq=True,
)
]
sim = mp.Simulation(
cell_size=cell_size,
boundary_layers=pml_layers,
resolution=resolution,
k_point=mp.Vector3(),
sources=sources,
geometry=geometry,
symmetries=[mp.Mirror(mp.Y)],
)
t = np.linspace(0, 50, 1000)
sim.run(until=t0 + 50)
# For now, just check to make sure the simulation can run and the fields don't blow up.
if __name__ == "__main__":
unittest.main()
|
