def test_LC_double_series_L_double_series_C(self):
C = 1e-8
L = 3
circuit = core.Network([
core.C(0, 1, C * 2),
core.C(1, 2, C * 2),
core.L(2, 3, L / 2),
core.L(3, 0, L / 2)
])
f, k, A, chi = circuit.f_k_A_chi()
f_expected = 1 / np.sqrt(L * C) / 2 / np.pi
self.assertRelativelyClose(f_expected, f)
def parameters(self, Cj, Lj, Cc, Cr, Lr):
circuit = core.Network([
core.C(0, 1, Cj),
core.J(0, 1, Lj),
core.C(1, 2, Cc),
core.C(0, 2, Cr),
core.L(0, 2, Lr)
])
return circuit.f_k_A_chi()
def test_sweeping_LJ_in_fkAchi(self):
cir = core.Network([
core.C(0, 1, 100e-15),
core.J(0, 1, 'L_J'),
core.C(1, 2, 1e-15),
core.C(2, 0, 100e-15),
core.L(2, 0, 10e-9),
core.R(2, 0, 1e6)
])
[cir.f_k_A_chi(L_J=x) for x in [1e-9, 2e-9]]
def test_sweeping_CJ_array_in_zpf(self):
C_comp = core.C(0, 1, 'C_J')
cir = core.Network([
C_comp,
core.J(0, 1, 10e-9),
core.C(1, 2, 1e-15),
core.C(2, 0, 100e-15),
core.L(2, 0, 10e-9),
core.R(2, 0, 1e6)
])
self.assertRelativelyClose(
C_comp.zpf(mode=1, quantity='charge', C_J=1.5e-9),
C_comp.zpf(mode=1, quantity='charge', C_J=[1e-9, 1.5e-9, 3e-9])[1])
def revaluing_labelled_valued_component_twice(self):
'''
Adressing last error appearing in issue #83
'''
cir = core.Network(
[core.L(0, 1, 1),
core.C(0, 1, 1),
core.R(0, 1, 'R', 1)])
try:
cir.loss_rates(R=1)
except Exception:
pass
with self.assertRaises(ValueError):
cir.loss_rates(R=1)
def parameters(self, R, L, C):
circuit = core.Network(
[core.C(0, 1, C),
core.L(1, 2, L),
core.R(0, 2, R)])
return circuit.f_k_A_chi()
