yapf

    distances = np.ones(shape=(data_len, data_len))

    for i in range(data_len):

      for j in range(data_len):

        distances[i][j] = 1 - DataStructs.FingerprintSimilarity(fingerprints[i],

                                                                fingerprints[j])

        distances[i][j] = 1 - DataStructs.FingerprintSimilarity(

            fingerprints[i], fingerprints[j])

    train_cutoff = int(frac_train * len(dataset))

    valid_cutoff = int(frac_valid * len(dataset))