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= uniform(0, 1) synthetic[new_index][attr] = sample.iloc[i][attr] + gap * dif new_index += 1 N = N - 1 for i in range(T): nnarray = nbrs.kneighbors(sample.iloc[i].values.reshape(1, -1), return_distance=False)[0] populate(N, i, nnarray) return synthetic If you didn’t understand it at first glance,