90d65897916d0caf6ce58c10f098b0c85759dc0d,kmodes.py,KPrototypes,_perform_clustering,#KPrototypes#,261

Before Change

            if sum(self.membership[ik,:]) == 0:
                while True:
                    rIndx = np.random.randint(nPoints)
                    if not all(Xnum[rIndx] == self.centroids[0]).any() and \
                       not all(Xcat[rIndx] == self.centroids[1]).any():
                        break
                self._add_point_to_cluster(Xnum[rIndx], Xcat[rIndx], rIndx, ik)
                fromCluster = np.argwhere(self.membership[:,rIndx])[0][0]

After Change

            if sum(self.membership[ik,:]) == 0:
                while True:
                    rIndx = np.random.randint(nPoints)
                    if not np.all(np.vstack((np.all(Xnum[rIndx] == self.centroids[0], axis=1), \
                                             np.all(Xcat[rIndx] == self.centroids[1], axis=1))), \
                                             axis=0).any():
                        break

Instances