def test_bounded_normal_floor_ceil(self):
"""
Test the bounded normal with floor and ceil.
"""
standard = BoundedNormalDistribution(0, 1, floor=-1, ceil=1)
for idx in xrange(100000):
event = standard.next()
self.assertGreaterEqual(event, -1)
self.assertLessEqual(event, 1)
def test_bounded_normal(self):
"""
Perform same normal test with an unbounded, bounded normal.
"""
standard = BoundedNormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -6)
self.assertLess(event, 6)
def test_bounded_normal_floor(self):
"""
Test the bounded normal with only a floor.
"""
standard = BoundedNormalDistribution(0, 1, floor=-1)
for idx in xrange(100000):
event = standard.next()
self.assertGreaterEqual(event, -1)
self.assertLess(event, 6)
def test_bounded_normal_floor_ceil(self):
"""
Test the bounded normal with floor and ceil.
"""
standard = BoundedNormalDistribution(0, 1, floor=-1, ceil=1)
for idx in xrange(100000):
event = standard.next()
self.assertGreaterEqual(event, -1)
self.assertLessEqual(event, 1)
def test_bounded_normal_floor(self):
"""
Test the bounded normal with only a floor.
"""
standard = BoundedNormalDistribution(0, 1, floor=-1)
for idx in xrange(100000):
event = standard.next()
self.assertGreaterEqual(event, -1)
self.assertLess(event, 6)
def test_bounded_normal(self):
"""
Perform same normal test with an unbounded, bounded normal.
"""
standard = BoundedNormalDistribution(0, 1)
for idx in xrange(100000):
event = standard.next()
self.assertGreater(event, -6)
self.assertLess(event, 6)
def test_bounded_normal_mean(self):
"""
Perform same normal mean approximation with an unbounded, bounded normal.
"""
dist = BoundedNormalDistribution(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_bounded_normal_mean(self):
"""
Perform same normal mean approximation with an unbounded, bounded normal.
"""
dist = BoundedNormalDistribution(0, 1)
samples = 1000000
total = sum(dist.next() for idx in xrange(samples))
mean = total / samples
self.assertAlmostEqual(mean, 0.0, places=2)
