def test_fit_crossspectrum(self):
model = self.model.copy()
t0 = model.parameters
_, res1 = fit_crossspectrum(self.cs, model)
_, res2 = fit_crossspectrum(self.cs, model, t0)
_, res3 = fit_crossspectrum(self.cs, model, t0, priors=self.priors)
assert np.all(np.isclose(t0, res1.p_opt, rtol=0.5, atol=0.5))
assert np.all(np.isclose(t0, res2.p_opt, rtol=0.5, atol=0.5))
assert np.all(np.isclose(t0, res3.p_opt, rtol=0.5, atol=0.5))
def test_fit_crossspectrum(self):
model = self.model.copy()
t0 = model.parameters
_, res1 = fit_crossspectrum(self.cs, model)
_, res2 = fit_crossspectrum(self.cs, model, t0)
_, res3 = fit_crossspectrum(self.cs, model, t0, priors=self.priors)
assert np.all(np.isclose(t0, res1.p_opt, rtol=0.5, atol=0.5))
assert np.all(np.isclose(t0, res2.p_opt, rtol=0.5, atol=0.5))
assert np.all(np.isclose(t0, res3.p_opt, rtol=0.5, atol=0.5))