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tracking/test_cases/q5/1-DiscreteDist.test

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+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"
+
+