def __init__(self,
low_loss,
high_loss,
min_freq,
max_freq,
most_likely_freq,
kurtosis=4):
self.frequency_model = pert_frequency.PERTFrequency(
min_freq, max_freq, most_likely_freq, kurtosis)
self.magnitude_model = lognormal_magnitude.LognormalMagnitude(
low_loss, high_loss)
super(PERTLoss, self).__init__(self.frequency_model,
self.magnitude_model)
def setUp(self):
min_freq = 0
max_freq = 10
most_likely = 5
kurtosis = 1
self.s = pert_frequency.PERTFrequency(min_freq, max_freq, most_likely, kurtosis=kurtosis)
def test_draw_small(self):
num_values = 100000
s = pert_frequency.PERTFrequency(0, 0.01, 0.005, kurtosis=1)
total = sum(s.draw(num_values))
self.assertTrue(0.0040 < float(total) / float(num_values) < 0.006)