Pymatching Decoding with Detection events

[apassenger]

Hello,

I am running distance 3 surface code with 3 rounds:
Here is the parity check matrix of X stabilizers for distance three surface code:

 H_d3x = csr_matrix(np.array([
[1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1]
    ]))

My syndrome measurements are as follows:

Round = 0, X syndromes are: (1, 1, 1, 0, 1, 0, )
Round = 1, X syndromes are: (0, 0, 1, 0, 0, 0, )
Round = 2, X syndromes are: (1, 1, 0, 1, 1, 0, )

So the detection events at the end of the third round is: detection_events = [0,0,1,1,0,0] (because at the end of the all rounds, syndrome 1,2,5 and 6 stayed same so they did not get affected by errors so detection is 0. However, syndrome3 and 4 changed) Now in Pymatching: I can simply say:

m3x = Matching(H_d3x)

But then, for decoding errors, should I say xdecode = list(reversed(m3x.decode(detection_events))) ? or Should I give the syndrome measurements instead of detection event?
If I say xdecode = list(reversed(m3x.decode(detection_events))), then when I print xdecode, I get this result: x decoded: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0]. Is this result corresponds to the correction?

Thanks in advance,
Bests