def test_logscale():
model1 = "parallel(parallel(R_f1, C_f1), C_f2)"
model = get_equivalent_circuit_model(model1)
logmodel = get_equivalent_circuit_model(model1, logscale=True)
omega = np.logspace(0, 8)
parameters = {'f1_R': 100., 'f1_C': 1e-6, 'f2_C': 1e-6}
Z1 = model.eval(omega=omega, **parameters)
Z2 = logmodel.eval(omega=omega, **parameters)
assert np.all(np.isclose(np.log10(Z1), Z2))
def test_cpe_RCT():
k = 1e-7
alpha = 0.9
Rct = 100
model = 'parallel(CPE, R)'
m = get_equivalent_circuit_model(model)
Z_lmfit = m.eval(omega=omega, k=k, alpha=alpha, R=Rct)
Z = cpe_ct_model(omega, k, alpha, Rct)
assert np.all(np.isclose(Z, Z_lmfit))
def test_wrong_circuit3():
model1 = "parallel(R, C"
with pytest.raises(Exception):
get_equivalent_circuit_model(model1)
def test_single():
model1 = 'R'
model = get_equivalent_circuit_model(model1)
assert isinstance(model, Model)
def test_wrong_circuit():
model1 = "R, L , C"
with pytest.raises(Exception):
get_equivalent_circuit_model(model1)
def test_parallel_parallel():
model1 = "parallel(parallel(R_f1, C_f1), C_f2)"
model = get_equivalent_circuit_model(model1)
assert isinstance(model, CompositeModel)
def test_parallel_series():
model1 = "parallel(L, C) + R + ColeCole"
model = get_equivalent_circuit_model(model1)
assert isinstance(model, CompositeModel)
def test_series_parallel():
model1 = "R + L + parallel(ColeCole, C)"
model = get_equivalent_circuit_model(model1)
assert isinstance(model, CompositeModel)
def test_series():
model1 = "R + C"
model = get_equivalent_circuit_model(model1)
assert isinstance(model, CompositeModel)
def test_wrong_circuit6():
model1 = "R_f1 + parallel(R_f2 + L)"
with pytest.raises(Exception):
get_equivalent_circuit_model(model1)
