def test3(self):
""" tau = -1, c = 1
"""
c = 1
tau = -1
y = scaled_exp(0, c, tau)
self.assertAlmostEqual(y, 1)
y = scaled_exp(1, c, tau)
self.assertAlmostEqual(y, np.exp(-1))
def test3(self):
""" tau = 10, c = 1
"""
c = 1
tau = 1
y = scaled_exp(0, c, tau)
self.assertAlmostEqual(y, 1)
t = 1
y = scaled_exp(1, c, tau)
self.assertAlmostEqual(y, np.exp(1 / 10.))
def test2(self):
""" tau = 1, c = 10
"""
c = 10
tau = 1
y = scaled_exp(0, c, tau)
self.assertAlmostEqual(y, 10)
y = scaled_exp(1, c, tau)
self.assertAlmostEqual(y, 10 * np.exp(1))
y = scaled_exp(10, c, tau)
self.assertAlmostEqual(y, 10 * np.exp(10))
def test1(self):
""" tau = 1, c = 1
"""
c = 1
tau = 1
y = scaled_exp(0, c, tau)
self.assertAlmostEqual(y, 1)
y = scaled_exp(1, c, tau)
self.assertAlmostEqual(y, np.exp(1))
y = scaled_exp(10, c, tau)
self.assertAlmostEqual(y, np.exp(10))
def test0(self):
"""0 parameters, c0, tau = 1
"""
t = np.linspace(-10, 10)
y = scaled_exp(t, 0, 1)
flags = y == 0
self.assertEqual(flags.all(), True)
def evalFitFuncs(self, c, tau):
"""Calculate values and test if fit works
"""
t = np.linspace(-10, 10)
y = scaled_exp(t, c, tau)
y = y + self.b
b_start = self.bstart
pars, corr, err = fit_scaled_exp_offset(t, y, b=b_start)
c_f, tau_f, b = pars
self.assertAlmostEqual(c_f, c)
self.assertAlmostEqual(tau_f, tau)
self.assertAlmostEqual(b, self.b)
def evalFitFuncs(self, c, tau):
"""Calculate values and test if fit works
"""
t = np.linspace(-10, 10)
y = scaled_exp(t, c, tau)
c_fe, tau_inv = estimate_tau_inv(t, y)
self.assertAlmostEqual(c_fe, c)
tau_f = 1. / tau_inv
self.assertAlmostEqual(tau_f, tau)
pars, corr, err = fit_scaled_exp(t, y)
c_f, tau_f = pars
self.assertAlmostEqual(c_f, c)
self.assertAlmostEqual(tau_f, tau)
