def test_call():
""" Check generated Gaussian function """
from numpy import arange
gaussian = Gaussian("gaussian", 0.4, 5.0, 1.5, 0.3, 4, 1.5, 0)
t = arange(0.0, 100.0)
A = gaussian.generate(t)
P = abs(A)**2
assert_almost_equal(max(P), 1.5)
def test_call():
""" Check generated Gaussian function """
from numpy import arange
gaussian = Gaussian("gaussian", 0.4, 5.0, 1.5, 0.3, 4, 1.5, 0)
t = arange(0.0, 100.0)
A = gaussian.generate(t)
P = abs(A) ** 2
assert_almost_equal(max(P), 1.5)
def test_conversion(self):
""" Should calculate a FWHM pulse width from the HWIeM value. """
gaussian = Gaussian(width=100.0)
fwhm = gaussian.calculate_fwhm()
self.assertEqual(fwhm, 166.51092223153952)
gaussian = Gaussian(width=100.0, m=3)
fwhm = gaussian.calculate_fwhm()
self.assertEqual(fwhm, 188.14856305595509)
def test_output(self):
""" Check Gaussian outputs its values correctly """
gaussian = Gaussian("gaussian", 0.2, 5.0, 1.4, 0.3, 4, 0.4, 0.0, 1)
expected_string = [
'position = 0.200000', 'width = 5.000000 ps', 'fwhm = 9.552195 ps',
'peak_power = 1.400000 W', 'offset_nu = 0.300000 THz', 'm = 4',
'C = 0.400000', 'initial_phase = 0.000000 rad', 'channel = 1'
]
self.assertEqual(str(gaussian), '\n'.join(expected_string))
def test_none(self):
""" Should use default value if no parameter given """
gaussian = Gaussian()
self.assertEqual(gaussian.name, "gaussian")
self.assertEqual(gaussian.position, 0.5)
self.assertEqual(gaussian.width, 10.0)
self.assertEqual(gaussian.peak_power, 1e-3)
self.assertEqual(gaussian.offset_nu, 0.0)
self.assertEqual(gaussian.m, 1)
self.assertEqual(gaussian.C, 0.0)
self.assertEqual(gaussian.initial_phase, 0.0)
self.assertEqual(gaussian.channel, 0)
self.assertIsNone(gaussian.fwhm)
def test_conversion(self):
""" Should calculate a FWHM pulse width from the HWIeM value. """
gaussian = Gaussian(width=100.0)
fwhm = gaussian.calculate_fwhm()
self.assertEqual(fwhm, 166.51092223153952)
gaussian = Gaussian(width=100.0, m=3)
fwhm = gaussian.calculate_fwhm()
self.assertEqual(fwhm, 188.14856305595509)
def test_bad_t(self):
""" Should raise exception when temporal array has too few values """
from numpy import arange
t = arange(0.0, 4.0)
self.assertRaises(OutOfRangeError, Gaussian().generate, t)
