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Consolidate variables in test case setups

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This commit is contained in:
Jan Petykiewicz 2019-07-18 00:03:32 -07:00
parent f858cb8bbb
commit 950e70213a
1 changed files with 48 additions and 71 deletions
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119
fdfd_tools/test_fdtd.py
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@ -77,107 +77,84 @@ class BasicTests():
class Basic2DNoDXOnlyVacuum(unittest.TestCase, BasicTests):
def setUp(self):
shape = [3, 5, 5, 1]
dt = 0.5
epsilon = numpy.ones(shape, dtype=float)
j_mag = 32
dxes = None
self.dt = 0.5
self.epsilon = numpy.ones(shape, dtype=float)
self.j_mag = 32
self.dxes = None
src_mask = numpy.zeros_like(epsilon, dtype=bool)
src_mask[1, 2, 2, 0] = True
self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool)
self.src_mask[1, 2, 2, 0] = True
e = numpy.zeros_like(epsilon)
h = numpy.zeros_like(epsilon)
e[src_mask] = j_mag / epsilon[src_mask]
es = [e]
hs = [h]
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=dt, dxes=dxes)
eh2e = fdtd.maxwell_e(dt=dt, dxes=dxes)
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, epsilon)
es.append(e)
hs.append(h)
eh2e(e, h, self.epsilon)
self.es.append(e)
self.hs.append(h)
self.es = es
self.hs = hs
self.dt = dt
self.epsilon = epsilon
self.dxes = dxes
self.src_mask = src_mask
self.j_mag = j_mag
class Basic3DUniformDXOnlyVacuum(unittest.TestCase, BasicTests):
def setUp(self):
shape = [3, 5, 5, 5]
dt = 0.33
epsilon = numpy.ones(shape, dtype=float)
j_mag = 32
dxes = tuple(tuple(numpy.ones(s) for s in shape[1:]) for _ in range(2))
self.dt = 0.33
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))
src_mask = numpy.zeros_like(epsilon, dtype=bool)
src_mask[1, 2, 2, 0] = True
self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool)
self.src_mask[1, 2, 2, 0] = True
e = numpy.zeros_like(epsilon)
h = numpy.zeros_like(epsilon)
e[src_mask] = j_mag / epsilon[src_mask]
es = [e]
hs = [h]
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=dt, dxes=dxes)
eh2e = fdtd.maxwell_e(dt=dt, dxes=dxes)
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, epsilon)
es.append(e)
hs.append(h)
eh2e(e, h, self.epsilon)
self.es.append(e)
self.hs.append(h)
self.es = es
self.hs = hs
self.dt = dt
self.epsilon = epsilon
self.dxes = dxes
self.src_mask = src_mask
self.j_mag = j_mag
class Basic3DUniformDX(unittest.TestCase, BasicTests):
def setUp(self):
shape = [3, 5, 5, 5]
dt = 0.33
epsilon = numpy.full(shape, 2, dtype=float)
j_mag = 32
dxes = tuple(tuple(numpy.ones(s) for s in shape[1:]) for _ in range(2))
self.dt = 0.33
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))
src_mask = numpy.zeros_like(epsilon, dtype=bool)
src_mask[1, 2, 2, 0] = True
self.src_mask = numpy.zeros_like(self.epsilon, dtype=bool)
self.src_mask[1, 2, 2, 0] = True
e = numpy.zeros_like(epsilon)
h = numpy.zeros_like(epsilon)
e[src_mask] = j_mag / epsilon[src_mask]
es = [e]
hs = [h]
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=dt, dxes=dxes)
eh2e = fdtd.maxwell_e(dt=dt, dxes=dxes)
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, epsilon)
es.append(e)
hs.append(h)
self.es = es
self.hs = hs
self.dt = dt
self.epsilon = epsilon
self.dxes = dxes
self.src_mask = src_mask
self.j_mag = j_mag
eh2e(e, h, self.epsilon)
self.es.append(e)
self.hs.append(h)