brainconn.centrality
brainconn.clustering
brainconn.core
brainconn.degree
brainconn.distance
brainconn.generative
brainconn.modularity
brainconn.motifs
brainconn.physical_connectivity
brainconn.reference
brainconn.similarity
brainconn.nbs
brainconn.utils
pick_four_unique_nodes_quickly
This is equivalent to np.random.choice(n, 4, replace=False)
Another fellow suggested np.random.random(n).argpartition(4) which is clever but still substantially slower.