def test_integrateWithStep(self):
tnow = 0.0
tfinal = 0.25
self.data = []
while tnow < tfinal:
tnow = self.sim.step(tfinal)
self.data.append([tnow, self.combustor.temperature()] + list(self.combustor.moleFractions()))
self.assertTrue(tnow >= tfinal)
bad = utilities.compareTimeSeries(self.referenceFile, self.data, rtol=1e-3, atol=1e-9)
self.assertFalse(bad, bad)
def test_integrateWithAdvance(self, saveReference=False):
times = np.linspace(0, 0.25, 101)
self.data = []
for t in times[1:]:
self.sim.advance(t)
self.data.append([t, self.combustor.temperature()] + list(self.combustor.moleFractions()))
if saveReference:
np.savetxt(self.referenceFile, np.array(self.data), "%11.6e", ", ")
else:
bad = utilities.compareTimeSeries(self.referenceFile, self.data, rtol=1e-6, atol=1e-12)
self.assertFalse(bad, bad)
def test_integrateWithStep(self):
tnow = 0.0
tfinal = 0.25
self.data = []
while tnow < tfinal:
tnow = self.sim.step(tfinal)
self.data.append([tnow, self.combustor.temperature()] +
list(self.combustor.moleFractions()))
self.assertTrue(tnow >= tfinal)
bad = utilities.compareTimeSeries(self.referenceFile,
self.data,
rtol=1e-3,
atol=1e-9)
self.assertFalse(bad, bad)
def test_integrateWithAdvance(self, saveReference=False):
times = np.linspace(0, 0.25, 101)
self.data = []
for t in times[1:]:
self.sim.advance(t)
self.data.append([t, self.combustor.temperature()] +
list(self.combustor.moleFractions()))
if saveReference:
np.savetxt(self.referenceFile, np.array(self.data), '%11.6e', ', ')
else:
bad = utilities.compareTimeSeries(self.referenceFile,
self.data,
rtol=1e-6,
atol=1e-12)
self.assertFalse(bad, bad)
def test_integrateWithStep(self):
tnow = 0.0
tfinal = 0.01
self.data = []
while tnow < tfinal:
tnow = self.sim.step(tfinal)
self.data.append([tnow,
self.r1.temperature(),
self.r2.temperature(),
self.r1.pressure(),
self.r2.pressure(),
self.r1.volume(),
self.r2.volume()])
self.assertTrue(tnow >= tfinal)
bad = utilities.compareTimeSeries(self.referenceFile, self.data,
rtol=1e-3, atol=1e-8)
self.assertFalse(bad, bad)
def test_integrateWithAdvance(self, saveReference=False):
times = np.linspace(0, 0.01, 200)
self.data = []
for t in times[1:]:
self.sim.advance(t)
self.data.append([t,
self.r1.temperature(),
self.r2.temperature(),
self.r1.pressure(),
self.r2.pressure(),
self.r1.volume(),
self.r2.volume()])
if saveReference:
np.savetxt(self.referenceFile, np.array(self.data), '%11.6e', ', ')
else:
bad = utilities.compareTimeSeries(self.referenceFile, self.data,
rtol=2e-5, atol=1e-9)
self.assertFalse(bad, bad)
def test_integrateWithStep(self):
tnow = 0.0
tfinal = 0.01
self.data = []
while tnow < tfinal:
tnow = self.sim.step(tfinal)
self.data.append([
tnow,
self.r1.temperature(),
self.r2.temperature(),
self.r1.pressure(),
self.r2.pressure(),
self.r1.volume(),
self.r2.volume()
])
self.assertTrue(tnow >= tfinal)
bad = utilities.compareTimeSeries(self.referenceFile,
self.data,
rtol=1e-3,
atol=1e-8)
self.assertFalse(bad, bad)
def test_integrateWithAdvance(self, saveReference=False):
times = np.linspace(0, 0.01, 200)
self.data = []
for t in times[1:]:
self.sim.advance(t)
self.data.append([
t,
self.r1.temperature(),
self.r2.temperature(),
self.r1.pressure(),
self.r2.pressure(),
self.r1.volume(),
self.r2.volume()
])
if saveReference:
np.savetxt(self.referenceFile, np.array(self.data), '%11.6e', ', ')
else:
bad = utilities.compareTimeSeries(self.referenceFile,
self.data,
rtol=2e-5,
atol=1e-9)
self.assertFalse(bad, bad)
