Tests for distributions.py

quantecon/tests/test_distributions.py

@@ -0,0 +1,54 @@
+"""
+Filename: test_distributions.py
+Author: Quentin Batista
+
+Tests for distributions.py
+
+"""
+import numpy as np
+from numpy.testing import assert_allclose
+from nose.tools import eq_
+from math import sqrt
+from quantecon.distributions import BetaBinomial
+
+
+class TestBetaBinomial:
+    def setUp(self):
+        self.n = 100
+        self.a = 5
+        self.b = 5
+        self.test_obj = BetaBinomial(self.n, self.a, self.b)
+
+    def test_init(self):
+        eq_(self.test_obj.n, self.n)
+        eq_(self.test_obj.a, self.a)
+        eq_(self.test_obj.b, self.b)
+
+    def test_mean(self):
+        eq_(self.test_obj.mean, 50)
+
+    def test_std(self):
+        eq_(self.test_obj.std, sqrt(250))
+
+    def test_var(self):
+        eq_(self.test_obj.var, 250)
+
+    def test_skew(self):
+        eq_(self.test_obj.skew, 0)
+
+    def test_pdf(self):
+        n = 9
+        a = 1
+        b = 1
+        test_obj = BetaBinomial(n, a, b)
+        assert_allclose(test_obj.pdf(), np.full(n+1, 1/(n+1)))
+
+
+if __name__ == '__main__':
+    import sys
+    import nose
+
+    argv = sys.argv[:]
+    argv.append('--verbose')
+    argv.append('--nocapture')
+    nose.main(argv=argv, defaultTest=__file__)