def test_sample_range(self):
val = 20
scope = [0]
node = create_static_leaf(val, scope)
samples = SamplingRange.sample_static_node(node, 10)
self.assertAlmostEqual(np.average(samples), 20)
rang = NumericRange([[20, 20.321]])
ranges = np.array([rang])
samples = SamplingRange.sample_static_node(node, 10, ranges=ranges)
self.assertAlmostEqual(np.average(samples), 20)
rang = NumericRange([[19, 20]])
ranges = np.array([rang])
samples = SamplingRange.sample_static_node(node, 10, ranges=ranges)
self.assertAlmostEqual(np.average(samples), 20)
rang = NumericRange([[19, 19.5], [19.999, 20.111], [20.5, 21]])
ranges = np.array([rang])
samples = SamplingRange.sample_static_node(node, 10, ranges=ranges)
self.assertAlmostEqual(np.average(samples), 20)
rang = NumericRange([[19, 19.5]])
ranges = np.array([rang])
samples = SamplingRange.sample_static_node(node, 10, ranges=ranges)
self.assertTrue(all(np.isnan(samples)))
def test_inference_range(self):
val = 20
scope = [0]
node = create_static_leaf(val, scope)
rang = [NumericRange([[20]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
rang = [NumericRange([[19.2]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 0)
rang = [NumericRange([[20.0003]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 0)
rang = [NumericRange([[0]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 0)
rang = [NumericRange([[0, 10]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 0)
rang = [NumericRange([[0, 200]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
rang = [NumericRange([[19.99999, 20.11]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
rang = [NumericRange([[19.99999, 20]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
rang = [NumericRange([[20, 20.321]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
rang = [NumericRange([[19, 19.5], [20.5, 21]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 0)
rang = [NumericRange([[19, 19.5], [19.999, 20.111], [20.5, 21]])]
ranges = np.array([rang])
prob = InferenceRange.static_likelihood_range(node, ranges)[0][0]
self.assertAlmostEqual(prob, 1)
def test_inference(self):
val = 20
scope = [0]
node = create_static_leaf(val, scope)
evidence = [[20.]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)[0][0]
self.assertEqual(prob, 1)
evidence = [[np.nan]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)[0][0]
self.assertEqual(prob, 1)
evidence = [[29]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)[0][0]
self.assertEqual(prob, 0)
evidence = [[19]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)[0][0]
self.assertEqual(prob, 0)
evidence = [[20.00001]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)[0][0]
self.assertEqual(prob, 0)
evidence = [[20.00001],[np.nan],[20],[22]]
np_evd = np.array(evidence, np.float64)
prob = Inference.static_likelihood(node, np_evd)
self.assertEqual(prob[0][0], 0)
self.assertEqual(prob[1][0], 1)
self.assertEqual(prob[2][0], 1)
self.assertEqual(prob[3][0], 0)