def test_get_matrix_data(self):
condensed_matrix = CondensedMatrix([
1.0, 4.5, 7.2, 3.3, 6.8, 6.1, 8.5, 4.5, 4.6, 9.0, 1.0, 7.8, 1.0,
0.0, 6.5, 9.6, 2.9, 2.2, 4.4, 7.1, 8.0
])
numpy.testing.assert_almost_equal(KullbackLeiblerDivergence.get_matrix_data(condensed_matrix, 0, 5),\
[ 1., 4.5, 7.2, 3.3, 8.5, 4.5, 4.6, 7.8, 1., 9.6],\
5)
numpy.testing.assert_almost_equal(KullbackLeiblerDivergence.get_matrix_data(condensed_matrix, 4, 3),\
[4.4, 7.1, 8.],\
5)
def test_get_matrix_data(self):
condensed_matrix = CondensedMatrix([1.0, 4.5, 7.2, 3.3, 6.8, 6.1,
8.5, 4.5, 4.6, 9.0, 1.0,
7.8, 1.0, 0.0, 6.5,
9.6, 2.9, 2.2,
4.4, 7.1,
8.0])
numpy.testing.assert_almost_equal(KullbackLeiblerDivergence.get_matrix_data(condensed_matrix, 0, 5),\
[ 1., 4.5, 7.2, 3.3, 8.5, 4.5, 4.6, 7.8, 1., 9.6],\
5)
numpy.testing.assert_almost_equal(KullbackLeiblerDivergence.get_matrix_data(condensed_matrix, 4, 3),\
[4.4, 7.1, 8.],\
5)
