import unittest import numpy from fdfd_tools import fdtd class BasicTests(): def test_initial_fields(self): # Make sure initial fields didn't change e0 = self.es[0] h0 = self.hs[0] mask = self.src_mask self.assertEqual(e0[mask], self.j_mag / self.epsilon[mask]) self.assertFalse(e0[~mask].any()) self.assertFalse(h0.any()) def test_initial_energy(self): e0 = self.es[0] h0 = self.hs[0] h1 = self.hs[1] mask = self.src_mask[1] dxes = self.dxes if self.dxes is not None else tuple(tuple(numpy.ones(s) for s in e0.shape[1:]) for _ in range(2)) dV = numpy.prod(numpy.meshgrid(*dxes[0], indexing='ij'), axis=0) u0 = self.j_mag * self.j_mag / self.epsilon[self.src_mask] * dV[mask] args = {'dxes': self.dxes, 'epsilon': self.epsilon} # Make sure initial energy and E dot J are correct energy0 = fdtd.energy_estep(h0=h0, e1=e0, h2=self.hs[1], **args) e_dot_j_0 = fdtd.delta_energy_j(j0=(e0 - 0) * self.epsilon, e1=e0, dxes=self.dxes) self.assertEqual(energy0[mask], u0) self.assertFalse(energy0[~mask].any(), msg='energy0: {}'.format(energy0)) self.assertEqual(e_dot_j_0[mask], u0) self.assertFalse(e_dot_j_0[~mask].any(), msg='e_dot_j_0: {}'.format(e_dot_j_0)) def test_energy_conservation(self): e0 = self.es[0] u0 = fdtd.delta_energy_j(j0=(e0 - 0) * self.epsilon, e1=e0, dxes=self.dxes).sum() args = {'dxes': self.dxes, 'epsilon': self.epsilon} for ii in range(1, 8): with self.subTest(i=ii): u_hstep = fdtd.energy_hstep(e0=self.es[ii-1], h1=self.hs[ii], e2=self.es[ii], **args) u_estep = fdtd.energy_estep(h0=self.hs[ii], e1=self.es[ii], h2=self.hs[ii + 1], **args) self.assertTrue(numpy.allclose(u_hstep.sum(), u0), msg='u_hstep: {}\n{}'.format(u_hstep.sum(), numpy.rollaxis(u_hstep, -1))) self.assertTrue(numpy.allclose(u_estep.sum(), u0), msg='u_estep: {}\n{}'.format(u_estep.sum(), numpy.rollaxis(u_estep, -1))) def test_poynting_divergence(self): args = {'dxes': self.dxes, 'epsilon': self.epsilon} dxes = self.dxes if self.dxes is not None else tuple(tuple(numpy.ones(s) for s in self.epsilon.shape[1:]) for _ in range(2)) dV = numpy.prod(numpy.meshgrid(*dxes[0], indexing='ij'), axis=0) u_eprev = None for ii in range(1, 8): with self.subTest(i=ii): u_hstep = fdtd.energy_hstep(e0=self.es[ii-1], h1=self.hs[ii], e2=self.es[ii], **args) u_estep = fdtd.energy_estep(h0=self.hs[ii], e1=self.es[ii], h2=self.hs[ii + 1], **args) du_half_h2e = u_estep - u_hstep div_s_h2e = self.dt * fdtd.poynting_divergence(e=self.es[ii], h=self.hs[ii], dxes=self.dxes) * dV self.assertTrue(numpy.allclose(du_half_h2e, -div_s_h2e, rtol=1e-4), msg='du_half_h2e\n{}\ndiv_s_h2e\n{}'.format(numpy.rollaxis(du_half_h2e, -1), -numpy.rollaxis(div_s_h2e, -1))) if u_eprev is None: u_eprev = u_estep continue # previous half-step du_half_e2h = u_hstep - u_eprev div_s_e2h = self.dt * fdtd.poynting_divergence(e=self.es[ii-1], h=self.hs[ii], dxes=self.dxes) * dV self.assertTrue(numpy.allclose(du_half_e2h, -div_s_e2h, rtol=1e-4), msg='du_half_e2h\n{}\ndiv_s_e2h\n{}'.format(numpy.rollaxis(du_half_e2h, -1), -numpy.rollaxis(div_s_e2h, -1))) u_eprev = u_estep def test_poynting_planes(self): args = {'dxes': self.dxes, 'epsilon': self.epsilon} dxes = self.dxes if self.dxes is not None else tuple(tuple(numpy.ones(s) for s in self.epsilon.shape[1:]) for _ in range(2)) dV = numpy.prod(numpy.meshgrid(*dxes[0], indexing='ij'), axis=0) u_eprev = None for ii in range(1, 8): with self.subTest(i=ii): u_hstep = fdtd.energy_hstep(e0=self.es[ii-1], h1=self.hs[ii], e2=self.es[ii], **args) u_estep = fdtd.energy_estep(h0=self.hs[ii], e1=self.es[ii], h2=self.hs[ii + 1], **args) mx = numpy.roll(self.src_mask, (-1, -1), axis=(0, 1)) my = numpy.roll(self.src_mask, -1, axis=2) mz = numpy.roll(self.src_mask, (+1, -1), axis=(0, 3)) px = numpy.roll(self.src_mask, -1, axis=0) py = self.src_mask.copy() pz = numpy.roll(self.src_mask, +1, axis=0) s_h2e = -fdtd.poynting(e=self.es[ii], h=self.hs[ii]) * self.dt s_h2e[0] *= dxes[0][1][None, :, None] * dxes[0][2][None, None, :] s_h2e[1] *= dxes[0][0][:, None, None] * dxes[0][2][None, None, :] s_h2e[2] *= dxes[0][0][:, None, None] * dxes[0][1][None, :, None] 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()] self.assertTrue(numpy.allclose(sum(planes), (u_estep - u_hstep)[self.src_mask[1]]), msg='planes: {} (sum: {})\n du:\n {}'.format(planes, sum(planes), (u_estep - u_hstep)[self.src_mask[1]])) class Basic2DNoDXOnlyVacuum(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 1] self.dt = 0.5 self.epsilon = numpy.ones(shape, dtype=float) self.j_mag = 32 self.dxes = None self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool) self.src_mask[1, 2, 2, 0] = True e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) class Basic2DUniformDX3(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 1] self.dt = 0.5 self.j_mag = 32 self.dxes = tuple(tuple(numpy.full(s, 2.0) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros(shape, dtype=bool) self.src_mask[1, 2, 2, 0] = True self.epsilon = numpy.full(shape, 1, dtype=float) self.epsilon[self.src_mask] = 2 e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) class Basic3DUniformDXOnlyVacuum(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 5] self.dt = 0.5 self.epsilon = numpy.ones(shape, dtype=float) self.j_mag = 32 self.dxes = tuple(tuple(numpy.ones(s) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool) self.src_mask[1, 2, 2, 2] = True e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) class Basic3DUniformDXUniformN(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 5] self.dt = 0.5 self.epsilon = numpy.full(shape, 2, dtype=float) self.j_mag = 32 self.dxes = tuple(tuple(numpy.ones(s) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool) self.src_mask[1, 2, 2, 2] = True e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) class Basic3DUniformDX(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 5] self.dt = 0.33 self.j_mag = 32 self.dxes = tuple(tuple(numpy.ones(s) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros(shape, dtype=bool) self.src_mask[1, 2, 2, 2] = True self.epsilon = numpy.full(shape, 1, dtype=float) self.epsilon[self.src_mask] = 2 e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) class Basic3DUniformDX3(unittest.TestCase, BasicTests): def setUp(self): shape = [3, 5, 5, 5] self.dt = 0.5 self.j_mag = 32 self.dxes = tuple(tuple(numpy.full(s, 3.0) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros(shape, dtype=bool) self.src_mask[1, 2, 2, 2] = True self.epsilon = numpy.full(shape, 1, dtype=float) self.epsilon[self.src_mask] = 2 e = numpy.zeros_like(self.epsilon) h = numpy.zeros_like(self.epsilon) e[self.src_mask] = self.j_mag / self.epsilon[self.src_mask] self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for _ in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) logging.basicConfig(level=logging.DEBUG) def tearDown(self): logging.basicConfig(level=logging.INFO) class JdotE_3DUniformDX(unittest.TestCase): def setUp(self): shape = [3, 5, 5, 5] self.dt = 0.5 self.j_mag = 32 self.dxes = tuple(tuple(numpy.full(s, 2.0) for s in shape[1:]) for _ in range(2)) self.src_mask = numpy.zeros(shape, dtype=bool) self.src_mask[1, 2, 2, 2] = True self.epsilon = numpy.full(shape, 4, dtype=float) self.epsilon[self.src_mask] = 2 e = numpy.random.randint(-128, 128 + 1, size=shape).astype(numpy.float32) h = numpy.random.randint(-128, 128 + 1, size=shape).astype(numpy.float32) self.es = [e] self.hs = [h] eh2h = fdtd.maxwell_h(dt=self.dt, dxes=self.dxes) eh2e = fdtd.maxwell_e(dt=self.dt, dxes=self.dxes) for ii in range(9): e = e.copy() h = h.copy() eh2h(e, h) eh2e(e, h, self.epsilon) self.es.append(e) self.hs.append(h) if ii == 1: e[self.src_mask] += self.j_mag / self.epsilon[self.src_mask] self.j_dot_e = self.j_mag * e[self.src_mask] def test_j_dot_e(self): e0 = self.es[2] j0 = numpy.zeros_like(e0) j0[self.src_mask] = self.j_mag u0 = fdtd.delta_energy_j(j0=j0, e1=e0, dxes=self.dxes) args = {'dxes': self.dxes, 'epsilon': self.epsilon} ii=2 u_hstep = fdtd.energy_hstep(e0=self.es[ii-1], h1=self.hs[ii], e2=self.es[ii], **args) u_estep = fdtd.energy_estep(h0=self.hs[ii], e1=self.es[ii], h2=self.hs[ii + 1], **args) #print(u0.sum(), (u_estep - u_hstep).sum()) self.assertTrue(numpy.allclose(u0.sum(), (u_estep - u_hstep).sum(), rtol=1e-4))