def test_normal(self):
"""
Weak test of normal distributions.
"""
standard = NormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -5)
self.assertLess(event, 5)
def test_normal(self):
"""
Weak test of normal distributions.
"""
standard = NormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -5)
self.assertLess(event, 5)
def test_normal_mean(self):
"""
Assert that the mean approximates the distribution.
"""
dist = NormalDistribution(0, 1)
samples = 1000000
total = sum(dist.next() for idx in xrange(samples))
mean = total / samples
self.assertAlmostEqual(mean, 0.0, places=2)
def test_normal_mean(self):
"""
Assert that the mean approximates the distribution.
"""
dist = NormalDistribution(0, 1)
samples = 1000000
total = sum(dist.next() for idx in xrange(samples))
mean = total / samples
self.assertAlmostEqual(mean, 0.0, places=2)