class Test_WeibullCDF(unittest.TestCase):
def setUp(self):
self.cdf = WeibullCDF()
self.cdf.x = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,
11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0]
self.cdf.A = 8.35
self.cdf.k = 2.15
def test_functionality(self):
self.cdf.run()
F = np.array([0.01037793, 0.04524528, 0.10480121, 0.18575653, 0.28252447, 0.38820584,
0.49562699, 0.59829918, 0.69114560, 0.77089646, 0.83613421, 0.88704769,
0.92500346, 0.95205646, 0.97050303, 0.98254137, 0.99006279, 0.99456267,
0.99714093, 0.99855575, 0.99929934, 0.99967365, 0.9998541, 0.99993741,
0.99997424, 0.99998983])
self.assertEqual(self.cdf.F.all(), F.all())
def test_gradient(self):
check_gradient_unit_test(self, self.cdf, display=False)
def setUp(self):
self.cdf = WeibullCDF()
self.cdf.x = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0,
11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0]
self.cdf.A = 8.35
self.cdf.k = 2.15