def test_detector_should_be_able_to_calculate_probability():
'''
This probability mathematics was extracted from:
http://s3.amazonaws.com/mlclass-resources/docs/slides/Lecture15.pdf
>>> 1/(math.sqrt(math.pi * 2) * 20) * math.exp(-0.5)
0.01209853622595717
'''
current_metric = 80
avg_of_metric = 100
variance = 400
detector = Detector()
assert round(0.01209853622595717 -
detector.calculate_probability(current_metric, avg_of_metric, variance), 5) == 0
def test_detector_should_be_able_to_calculate_probability_with_zero_variance():
detector = Detector()
assert 1 == detector.calculate_probability(1, 1, 0)
