0e84313d49f4b3f5aef0e0d558ecc34e271b2ad5,grakel/kernels/graphlet_sampling.py,,sample_graphlets_probabilistic,#Any#Any#Any#,231

Before Change

    s = list(range(A.shape[0]))
    to_edge_dict_binary = lambda x, k: matrix_to_dict(x, "==", 1, False)
    for i in range(n_samples):
        index_rand = random.sample(s, random.randint(3, k))
        Q = A[index_rand, :][:, index_rand]
        yield pynauty.Graph(Q.shape[0], True, to_edge_dict_binary(Q, k))

After Change

    
    s = list(range(A.shape[0]))
    min_r, max_r = min(3, A.shape[0]), min(k, A.shape[0])
    if min_r == max_r:
        rsamp = lambda *args: min_r
    else:
        rsamp = lambda *args: random.randint(min_r, max_r)

Instances