upd readme

tracking/test_cases/q5/1-DiscreteDist-a1.solution

@@ -0,0 +1,3 @@
+# This is the solution file for test_cases/q1/1-ObsProb.test.
+# The result of evaluating the test must equal the below when cast to a string.
+result: "1.0"

tracking/test_cases/q5/1-DiscreteDist-a1.test

@@ -0,0 +1,22 @@
+class: "OutputTest"
+success: "PASS"
+failure: "NO PASS"
+
+# Python statements initializing variables for the test below.
+preamble: """
+import inference
+
+dist = inference.DiscreteDistribution()
+dist['a'] = 0
+ans5 = dist.normalize()
+
+# ans = map(float, [ans1, ans2, ans3, ans4])
+ans = map(float, [ans5 is None])
+"""
+
+# A python expression to be evaluated.  This expression must return the 
+# same result for the student and instructor's code.
+
+test: "ans"
+
+

tracking/test_cases/q5/1-DiscreteDist.solution

@@ -0,0 +1,3 @@
+# This is the solution file for test_cases/q1/1-ObsProb.test.
+# The result of evaluating the test must equal the below when cast to a string.
+result: "0.17 0.33 0.33 0.0 0.17"

tracking/test_cases/q5/1-DiscreteDist.test

@@ -0,0 +1,31 @@
+class: "OutputTest"
+success: "PASS"
+failure: "NO PASS"
+
+# Python statements initializing variables for the test below.
+preamble: """
+import inference
+
+dist = inference.DiscreteDistribution()
+dist['a'] = 1
+dist['b'] = 2
+dist['c'] = 2
+dist['d'] = 0
+dist['e'] = 1
+N = 100000.0
+samples = [dist.sample() for _ in range(int(N))]
+ans1 = round(samples.count('a') * 1.0/N, 2)
+ans2 = round(samples.count('b') * 1.0/N, 2)
+ans3 = round(samples.count('c') * 1.0/N, 2)
+ans4 = round(samples.count('d') * 1.0/N, 2)
+ans5 = round(samples.count('e') * 1.0/N, 2)
+
+ans = map(float, [ans1, ans2, ans3, ans4, ans5])
+"""
+
+# A python expression to be evaluated.  This expression must return the 
+# same result for the student and instructor's code.
+
+test: "ans"
+
+

tracking/test_cases/q5/1-ObsProb.solution

@@ -0,0 +1,3 @@
+# This is the solution file for test_cases/q1/1-ObsProb.test.
+# The result of evaluating the test must equal the below when cast to a string.
+result: "0.16753926701570682 0.33507853403141363 0.041884816753926704 0.0 0.0 0.0 0.0 1.0 0.08376963350785341 1.0 1.0 0.041884816753926704 0.0"

tracking/test_cases/q5/1-ObsProb.test

@@ -0,0 +1,51 @@
+class: "OutputTest"
+success: "PASS"
+failure: "NO PASS"
+
+# Python statements initializing variables for the test below.
+preamble: """
+import inference
+
+class dummyGhostAgent(object):
+    pass
+dummyGhostAgent = dummyGhostAgent()
+dummyGhostAgent.index = 1
+inf = inference.InferenceModule(dummyGhostAgent)
+pacmanPosition = (3, 5)
+ghostPosition = (4, 6)
+jailPosition = inf.getJailPosition()
+
+ans1 = inf.getObservationProb(1, pacmanPosition, ghostPosition, jailPosition)
+ans2 = inf.getObservationProb(2, pacmanPosition, ghostPosition, jailPosition)
+ans3 = inf.getObservationProb(5, pacmanPosition, ghostPosition, jailPosition)
+ans4 = inf.getObservationProb(None, pacmanPosition, ghostPosition, jailPosition)
+ans5 = inf.getObservationProb(1, pacmanPosition, jailPosition, jailPosition)
+ans6 = inf.getObservationProb(2, pacmanPosition, jailPosition, jailPosition)
+ans7 = inf.getObservationProb(5, pacmanPosition, jailPosition, jailPosition)
+ans8 = inf.getObservationProb(None, pacmanPosition, jailPosition, jailPosition)
+ans9 = inf.getObservationProb(0, pacmanPosition, ghostPosition, jailPosition)
+
+jailPosition = (1000000000000000000000, 1000000000000000000000)
+ghostPosition = (1000000000000000000000, 1000000000000000000000)
+ans10 = inf.getObservationProb(None, pacmanPosition, ghostPosition, jailPosition)
+
+# battling usage of is instead of ==
+jailPosition = [5, 5]
+ghostPosition = [5, 5]
+ans11 = inf.getObservationProb(None, pacmanPosition, ghostPosition, jailPosition)
+# test for NoisyDistance is 0 or None
+ans13 = inf.getObservationProb(0, pacmanPosition, ghostPosition, jailPosition)
+
+jailPosition = [0.4, 2.4]
+ghostPosition = [1.4, 2.4]
+ans12 = inf.getObservationProb(1.2, pacmanPosition, ghostPosition, jailPosition)
+
+ans = map(float, [ans1, ans2, ans3, ans4, ans5, ans6, ans7, ans8, ans9, ans10, ans11, ans12, ans13])
+"""
+
+# A python expression to be evaluated.  This expression must return the 
+# same result for the student and instructor's code.
+
+test: "ans"
+
+

tracking/test_cases/q5/CONFIG

@@ -0,0 +1,3 @@
+max_points: "1"
+class: "PassAllTestsQuestion"
+