def test_normal(self):
"""
Weak test of normal distributions.
"""
standard = NormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -6)
self.assertLess(event, 6)
def test_normal(self):
"""
Weak test of normal distributions.
"""
standard = NormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -6)
self.assertLess(event, 6)
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)
def test_normal_stddev(self):
"""
Test the standard deviation computation for a normal distribution
"""
cases = (
((0, 1), 1),
((12.4, 1.2), 1.2),
)
for args, stddev in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_stddev(), stddev, places=4)
def test_normal_variance(self):
"""
Test the variance computation for a normal distribution
"""
cases = (
((0, 1), 1),
((12.4, 1.2), 1.44),
)
for args, variance in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_variance(), variance, places=4)
def test_normal_get_mean(self):
"""
Test the mean computation for a normal distribution
"""
cases = (
((0, 1), 0),
((12.4, 1.2), 12.4),
)
for args, mean in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_mean(), mean, places=4)
def test_normal_stddev(self):
"""
Test the standard deviation computation for a normal distribution
"""
cases = (
((0, 1), 1),
((12.4, 1.2), 1.2),
)
for args, stddev in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_stddev(), stddev, places=4)
def test_normal_variance(self):
"""
Test the variance computation for a normal distribution
"""
cases = (
((0, 1), 1),
((12.4, 1.2), 1.44),
)
for args, variance in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_variance(), variance, places=4)
def test_normal_get_mean(self):
"""
Test the mean computation for a normal distribution
"""
cases = (
((0, 1), 0),
((12.4, 1.2), 12.4),
)
for args, mean in cases:
dist = NormalDistribution(*args)
self.assertAlmostEqual(dist.get_mean(), mean, places=4)
