Suspected memory leakage in highspy (python = 3.10)

[yokawhhh]

As I solved a large mip model on more datasets on a jupyter notebook on my wsl on windows, the memory it used increased. At last, the task will fail because it used up the memory(8G). But if I run the notebook one by one and each one just solve one dataset, it can work successfully.

I guess the memory won't be completely cleared up when a model ends its solving.

If u need more correspoding information, u can tell me how to get them.

[jajhall]

What version of HiGHS are you using?

[yokawhhh]

highspy 1.8.1

[galabovaa]

Would you be able to share your notebook and data? This way I can try to reproduce the behaviour locally on my windows with wsl.

[yokawhhh]

sorry for reply now for I being seriously ill recently. I have done another experient. In one notebook, I continuely run following function for solving nqueens for 40 times, the memory usage improves 1GB. And the memory used by the function should be freed after its calling.

def nqueens(N):
    h = highspy.Highs()
    h.silent()
    x = h.addBinaries(N, N)
    h.addConstrs(x.sum(axis=0) == 1)    # each row has exactly one queen
    h.addConstrs(x.sum(axis=1) == 1)    # each col has exactly one queen
    y = np.fliplr(x)
    h.addConstrs(x.diagonal(k).sum() <= 1 for k in range(-N + 1, N))   # each diagonal has at most one queen
    h.addConstrs(y.diagonal(k).sum() <= 1 for k in range(-N + 1, N))   # each 'reverse' diagonal has at most one queen
    h.solve()
    sol = h.vals(x)