def test_getEvent(self):
# create distribution instance, normal distribution with mean 100, std 20
dist1 = Distribution('normal(100, 20, 1)')
# the seed must be set AFTER creating the Distribution instances, because
# the constructor invokes the RNG function one time to validate that it
# can be called.
np.random.seed(100)
expected = [
65.00469054, 106.85360807, 123.06071605, 94.95127927, 119.62641574,
110.28437683, 104.42359338, 78.59913339, 96.21008338, 105.10002889
]
for i in range(0, 10):
with self.subTest(i=i):
actual = dist1.getEvent()
self.assertAlmostEqual(expected[i], actual)
