import numpy as np
from scipy.optimize import linear_sum_assignment

class KM():
    def __init__(self, graph):
        self.gragh = graph
        self.max_dispatch = self.compute()


    def compute(self):
        gragh = self.gragh
        row,col = linear_sum_assignment(gragh)
        # print("行坐标:", row, "列坐标:", col, "最大组合:", self.gragh[row, col])
        return [(i,j)for i,j,value in zip(row,col,gragh[row,col]) if value<1000]

        # gragh = - self.gragh
        # row,col = linear_sum_assignment(gragh)
        # return [(i,j) for i,j,value in zip(row,col,gragh[row,col]) if value]


if __name__ == '__main__':

    pass