def testSimpleCases(self):
for case in simplecases:
p = case['p0']
parser = Parser(CircuitTree)
parsetree = parser.parse(case['eqc']).collapseCircuit()
s = Spectrum.fromJSON(file(case['specfile']).read())
pset = ParameterSet.fromTree(parsetree, p)
eqc_fn, jac_fn = parsetree.getCircuit()
e = Spectrum.fromCircuit(s.omega, eqc_fn, p)
p, rmsd = e.fit(s, pset)
self.assertLess(rmsd, 1e-3,
msg='Could not fit {} to rmsd 1e-3: got {}'.format(case['specfile'], rmsd))
def testZholkovskij(self):
p = [0.03, 3e-5, 75.0, 0.5, 0.1, 375.0, 0.0002, 0.01, 375.0, 0.97, 1.0, 75.0, 0.5, 0.1]
parser = Parser(CircuitTree)
parsetree = parser.parse('(R|C)+Quadlayer').collapseCircuit()
s = Spectrum.fromJSON(file('cases/zholkovskij.json').read())
pset = ParameterSet.fromTree(parsetree, p)
pset.setParameterMapping('R_2{C}', pset.T_MICRO)
pset.setParameterMapping('Quadlayer_1{t2}', pset.T_MICRO)
pset.setParameterMapping('Quadlayer_1{t3}', pset.T_MICRO)
pset.unmaskAll()
pset.maskParameter('Quadlayer_1{t2}')
pset.maskParameter('Quadlayer_1{t3}')
pset.maskParameter('R_2{R}')
pset.maskParameter('C_2{C}')
pset.invertMask()
eqc_fn, jac_fn = parsetree.getCircuit()
e = Spectrum.fromCircuit(s.omega, eqc_fn, p)
p, rmsd = e.fit(s, pset)
self.assertLess(rmsd, 2e-3)
for line in file(filename).readlines():
val = line.split(",")
s.omega.append(float(val[0]))
s.Z.append(float(val[1]) + 1j * float(val[2]))
parser = Parser(CircuitTree)
p = [0.03, 3e-5, 75.0, 0.5, 0.1, 375.0, 0.0002, 0.01, 375.0, 0.97, 1.0, 75.0, 0.5, 0.1]
parsetree = parser.parse("(R|C)+Quadlayer").collapseCircuit()
eqc_fn, jac_fn = parsetree.getCircuit()
s = Spectrum.fromJSON(file("cases/zholkovskij.json").read())
# s = MySpectrum.fromCSV('MyCSVDataFile')
e = Spectrum.fromCircuit(s.omega, eqc_fn, p)
pset = ParameterSet.fromTree(parsetree, p)
# Scale transport number t3
pset.setParameterMapping("Quadlayer_1{t2}", pset.T_MICRO)
pset.setParameterMapping("Quadlayer_1{t3}", pset.T_MICRO)
# Fit only t2, t3, R and C:
pset.unmaskAll()
pset.maskParameter("Quadlayer_1{t2}")
pset.maskParameter("Quadlayer_1{t3}")
pset.maskParameter("R_1{R}")
pset.maskParameter("C_1{C}")
pset.invertMask()
p, rmsd = e.fit(s, pset)
plt.figure()
