def test_sanity_checks(self):
# test change in mean
result0 = analysis.discrete_trunc_t_logpdf([0,1], 1, range(2))
result1 = analysis.discrete_trunc_t_logpdf([0,1], 1, range(2), loc=1)
assert_approx_equal(result0[0], result1[1])
assert_approx_equal(result0[1], result1[0])
# test change in scale
result2 = analysis.discrete_trunc_t_logpdf([0,1], 1, range(2), scale=1)
result3 = analysis.discrete_trunc_t_logpdf([0,1], 1, range(2), scale=10)
self.assertTrue(result2[0] > result3[0])
self.assertTrue(result2[1] < result3[1])
def test_normalization(self):
# set up
x = arange(12).reshape((3,4))
result = analysis.discrete_trunc_t_logpdf(x, 4, range(12))
# make sure normalized
assert_approx_equal(sum(exp(result)), 1)
def test_default_loc_and_scale(self):
# set up test
x = eye(2)
result = analysis.discrete_trunc_t_logpdf(x, 1, range(2))
# check that the values that should be the same are the same
assert_approx_equal(result[0,0], result[1,1])
assert_approx_equal(result[0,1], result[1,0])
# check that values that should be larger are larger
self.assertTrue(result[0,0] < result[1,0])
# check that the is properly normalized
assert_approx_equal(exp(result[0,0]) + exp(result[1,0]), 1)
def test_array_scale(self):
result = analysis.discrete_trunc_t_logpdf([0,0], 1, range(2), scale=[1,10])
self.assertTrue(result[0] > result[1])
def test_array_mean(self):
result = analysis.discrete_trunc_t_logpdf([0,1], 1, range(2), loc=[0,1])
assert_approx_equal(result[0], result[1])
