Merge pull request aimacode#97 from reachtarunhere/prob

norvig · norvig · commit 1ba6b796bff4 · 2016-03-11T12:25:27.000-08:00
Moved Tests for Probability
diff --git a/tests/test_probability.py b/tests/test_probability.py
@@ -32,5 +32,61 @@ def tests():
     p = likelihood_weighting('Earthquake', {}, burglary, 1000)
     assert p[True], p[False] == (0.002, 0.998)
 
+def test_probdist_basic():
+    P = ProbDist('Flip')
+    P['H'], P['T'] = 0.25, 0.75;
+    assert P['H'] == 0.25
+
+def test_probdist_frequency():
+    P = ProbDist('X', {'lo': 125, 'med': 375, 'hi': 500})
+    assert (P['lo'], P['med'], P['hi']) == (0.125, 0.375, 0.5)
+
+def test_probdist_normalize():
+    P = ProbDist('Flip')
+    P['H'], P['T'] = 35, 65
+    P = P.normalize()
+    assert (P.prob['H'], P.prob['T']) == (0.350, 0.650)
+
+def test_jointprob():
+    P = JointProbDist(['X', 'Y'])
+    P[1, 1] = 0.25
+    assert P[1, 1] == 0.25
+    P[dict(X=0, Y=1)] = 0.5
+    assert P[dict(X=0, Y=1)] == 0.5
+
+def test_event_values():
+    assert event_values ({'A': 10, 'B': 9, 'C': 8}, ['C', 'A']) == (8, 10)
+    assert event_values ((1, 2), ['C', 'A']) == (1, 2)
+
+def test_enumerate_joint_ask():
+    P = JointProbDist(['X', 'Y'])
+    P[0,0] = 0.25
+    P[0,1] = 0.5
+    P[1,1] = P[2,1] = 0.125
+    assert enumerate_joint_ask('X', dict(Y=1),
+        P).show_approx() == '0: 0.667, 1: 0.167, 2: 0.167'
+
+def test_bayesnode_p():
+    bn = BayesNode('X', 'Burglary', {T: 0.2, F: 0.625})
+    assert bn.p(False, {'Burglary': False, 'Earthquake': True}) == 0.375
+
+def test_enumeration_ask():
+    assert enumeration_ask('Burglary',
+        dict(JohnCalls=T, MaryCalls=T), burglary).show_approx() == 'False: 0.716, True: 0.284'
+
+def test_elemination_ask():
+    elimination_ask('Burglary', dict(JohnCalls=T, MaryCalls=T),
+        burglary).show_approx() == 'False: 0.716, True: 0.284'
+
+def test_rejection_sampling():
+    random.seed(47)
+    rejection_sampling('Burglary', dict(JohnCalls=T, MaryCalls=T),
+        burglary, 10000).show_approx() == 'False: 0.7, True: 0.3'
+
+def test_likelihood_weighting():
+    random.seed(1017)
+    assert likelihood_weighting('Burglary', dict(JohnCalls=T, MaryCalls=T),
+        burglary, 10000).show_approx() == 'False: 0.702, True: 0.298'
+
 if __name__ == '__main__':
     pytest.main()
