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################################################################################
# Copyright (C) 2014 Jaakko Luttinen
#
# This file is licensed under the MIT License.
################################################################################
"""
Unit tests for `poisson` module.
"""
import numpy as np
import scipy
from bayespy.nodes import Poisson
from bayespy.nodes import Gamma
from bayespy.utils import random
from bayespy.utils.misc import TestCase
class TestPoisson(TestCase):
"""
Unit tests for Poisson node
"""
def test_init(self):
"""
Test the creation of Poisson nodes.
"""
# Some simple initializations
X = Poisson(12.8)
X = Poisson(Gamma(43, 24))
# Check that plates are correct
X = Poisson(np.ones((2,3)))
self.assertEqual(X.plates,
(2,3))
X = Poisson(Gamma(1, 1, plates=(2,3)))
self.assertEqual(X.plates,
(2,3))
# Invalid rate
self.assertRaises(ValueError,
Poisson,
-0.1)
# Inconsistent plates
self.assertRaises(ValueError,
Poisson,
np.ones(3),
plates=(2,))
# Explicit plates too small
self.assertRaises(ValueError,
Poisson,
np.ones(3),
plates=(1,))
pass
def test_moments(self):
"""
Test the moments of Poisson nodes.
"""
# Simple test
X = Poisson(12.8)
u = X._message_to_child()
self.assertEqual(len(u),
1)
self.assertAllClose(u[0],
12.8)
# Test plates in rate
X = Poisson(12.8*np.ones((2,3)))
u = X._message_to_child()
self.assertAllClose(u[0],
12.8*np.ones((2,3)))
# Test with gamma prior
alpha = Gamma(5, 2)
r = np.exp(alpha._message_to_child()[1])
X = Poisson(alpha)
u = X._message_to_child()
self.assertAllClose(u[0],
r)
# Test with broadcasted plates in parents
X = Poisson(Gamma(5, 2, plates=(2,3)))
u = X._message_to_child()
self.assertAllClose(u[0]*np.ones((2,3)),
r*np.ones((2,3)))
pass
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