def test_hamming_matrix():
answer = np.array([[0, 1, 1, 2, 1, 2, 2, 3], [1, 0, 2, 1, 2, 1, 3, 2],
[1, 2, 0, 1, 2, 3, 1, 2], [2, 1, 1, 0, 3, 2, 2, 1],
[1, 2, 2, 3, 0, 1, 1, 2], [2, 1, 3, 2, 1, 0, 2, 1],
[2, 3, 1, 2, 1, 2, 0, 1], [3, 2, 2, 1, 2, 1, 1,
0]]).astype(float)
assert np.array_equal(distance._hamming_matrix(3), answer)
def test_hamming_matrix():
answer = np.array([[0, 1, 1, 2, 1, 2, 2, 3],
[1, 0, 2, 1, 2, 1, 3, 2],
[1, 2, 0, 1, 2, 3, 1, 2],
[2, 1, 1, 0, 3, 2, 2, 1],
[1, 2, 2, 3, 0, 1, 1, 2],
[2, 1, 3, 2, 1, 0, 2, 1],
[2, 3, 1, 2, 1, 2, 0, 1],
[3, 2, 2, 1, 2, 1, 1, 0]]).astype(float)
assert np.array_equal(distance._hamming_matrix(3), answer)
def test_large_hamming_matrix():
n = distance._NUM_PRECOMPUTED_HAMMING_MATRICES + 1
distance._hamming_matrix(n)
def test_large_hamming_matrix():
n = distance._NUM_PRECOMPUTED_HAMMING_MATRICES + 1
distance._hamming_matrix(n)