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import os
import unittest
import numpy as np
from utils import ApproxComparisonTestCase
import meep as mp
class TestCavityArraySlice(ApproxComparisonTestCase):
data_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), "data"))
expected_1d = np.load(os.path.join(data_dir, "cavity_arrayslice_1d.npy"))
expected_2d = np.load(os.path.join(data_dir, "cavity_arrayslice_2d.npy"))
def setUp(self):
r = 0.36
d = 1.4
sy = 6
pad = 2
dpml = 1
sx = (2 * (pad + dpml + 3)) + d - 1
cell = mp.Vector3(sx, sy, 0)
blk = mp.Block(
size=mp.Vector3(mp.inf, 1.2, mp.inf), material=mp.Medium(epsilon=13)
)
geometry = [blk]
geometry.extend(mp.Cylinder(r, center=mp.Vector3(d / 2 + i)) for i in range(3))
geometry.extend(mp.Cylinder(r, center=mp.Vector3(d / -2 - i)) for i in range(3))
sources = [mp.Source(mp.GaussianSource(0.25, fwidth=0.2), mp.Hz, mp.Vector3())]
self.sim = mp.Simulation(
cell_size=cell,
geometry=geometry,
sources=sources,
boundary_layers=[mp.PML(dpml)],
resolution=20,
)
self.x_min = -0.25 * sx
self.x_max = +0.25 * sx
self.y_min = -0.15 * sy
self.y_max = +0.15 * sy
self.size_1d = mp.Vector3(self.x_max - self.x_min)
self.center_1d = mp.Vector3((self.x_min + self.x_max) / 2)
self.size_2d = mp.Vector3(self.x_max - self.x_min, self.y_max - self.y_min)
self.center_2d = mp.Vector3(
(self.x_min + self.x_max) / 2, (self.y_min + self.y_max) / 2
)
def test_1d_slice(self):
self.sim.run(until_after_sources=0)
vol = mp.Volume(center=self.center_1d, size=self.size_1d)
hl_slice1d = self.sim.get_array(mp.Hz, vol)
tol = 1e-5 if mp.is_single_precision() else 1e-8
self.assertClose(self.expected_1d, hl_slice1d, epsilon=tol)
def test_2d_slice(self):
self.sim.run(until_after_sources=0)
vol = mp.Volume(center=self.center_2d, size=self.size_2d)
hl_slice2d = self.sim.get_array(mp.Hz, vol)
tol = 1e-5 if mp.is_single_precision() else 1e-8
self.assertClose(self.expected_2d, hl_slice2d, epsilon=tol)
def test_1d_slice_user_array(self):
self.sim.run(until_after_sources=0)
arr = np.zeros(
126, dtype=np.float32 if mp.is_single_precision() else np.float64
)
vol = mp.Volume(center=self.center_1d, size=self.size_1d)
self.sim.get_array(mp.Hz, vol, arr=arr)
tol = 1e-5 if mp.is_single_precision() else 1e-8
self.assertClose(self.expected_1d, arr, epsilon=tol)
def test_2d_slice_user_array(self):
self.sim.run(until_after_sources=0)
arr = np.zeros(
(126, 38), dtype=np.float32 if mp.is_single_precision() else np.float64
)
vol = mp.Volume(center=self.center_2d, size=self.size_2d)
self.sim.get_array(mp.Hz, vol, arr=arr)
tol = 1e-5 if mp.is_single_precision() else 1e-8
self.assertClose(self.expected_2d, arr, epsilon=tol)
def test_illegal_user_array(self):
self.sim.run(until_after_sources=0)
with self.assertRaises(ValueError):
arr = np.zeros(128)
vol = mp.Volume(center=self.center_1d, size=self.size_1d)
self.sim.get_array(mp.Hz, vol, arr=arr)
with self.assertRaises(ValueError):
arr = np.zeros((126, 39))
vol = mp.Volume(center=self.center_2d, size=self.size_2d)
self.sim.get_array(mp.Hz, vol, arr=arr)
with self.assertRaises(ValueError):
arr = np.zeros((126, 38))
vol = mp.Volume(center=self.center_2d, size=self.size_2d)
self.sim.get_array(mp.Hz, vol, cmplx=True, arr=arr)
def test_1d_complex_slice(self):
self.sim.run(until_after_sources=0)
vol = mp.Volume(center=self.center_1d, size=self.size_1d)
hl_slice1d = self.sim.get_array(mp.Hz, vol, cmplx=True)
self.assertTrue(
hl_slice1d.dtype == np.complex64
if mp.is_single_precision()
else np.complex128
)
self.assertTrue(hl_slice1d.shape[0] == 126)
def test_2d_complex_slice(self):
self.sim.run(until_after_sources=0)
vol = mp.Volume(center=self.center_2d, size=self.size_2d)
hl_slice2d = self.sim.get_array(mp.Hz, vol, cmplx=True)
self.assertTrue(
hl_slice2d.dtype == np.complex64
if mp.is_single_precision()
else np.complex128
)
self.assertTrue(hl_slice2d.shape[0] == 126 and hl_slice2d.shape[1] == 38)
if __name__ == "__main__":
unittest.main()
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