def get_coRanking()

in embedding_quality_score.py [0:0]


def get_coRanking(Rank_high, Rank_low):
    """
    Computes co-ranking matrix Q from Supplementary eq. (4) in Klimovskaia et al.
    """
    N = len(Rank_high)
    coRank = np.zeros([N-1, N-1])

    for i in range(N):
        for j in range(N):
            k = int(Rank_high[i, j])
            l = int(Rank_low[i, j])
            if (k > 0) and (l > 0):
                coRank[k-1][l-1] += 1
    
    return coRank