How can I correctly retrieve/save the relaxed variables values associated with the best bound?

Hello everyone,

Gurobi 10.0.0 (win64) logging started Mon Nov 21 12:27:41 2022

Set parameter LogFile to value "IHLP.txt"
Gurobi Optimizer version 10.0.0 build v10.0.0rc2 (win64)

CPU model: AMD Ryzen 7 5700G with Radeon Graphics, instruction set [SSE2|AVX|AVX2]
Thread count: 8 physical cores, 16 logical processors, using up to 16 threads

Optimize a model with 2039 rows, 685 columns and 10222 nonzeros
Model fingerprint: 0x9f0dcc97
Variable types: 450 continuous, 235 integer (235 binary)
Coefficient statistics:
  Matrix range     [1e+00, 7e+01]
  Objective range  [8e+01, 2e+03]
  Bounds range     [1e+00, 1e+00]
  RHS range        [1e+00, 2e+02]
Presolve removed 656 rows and 78 columns
Presolve time: 0.02s
Presolved: 1383 rows, 607 columns, 6375 nonzeros
Variable types: 372 continuous, 235 integer (235 binary)

Root relaxation: objective 5.687528e+04, 1181 iterations, 0.03 seconds (0.06 work units)

    Nodes    |    Current Node    |     Objective Bounds      |     Work
 Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time

     0     0 56875.2786    0  103          - 56875.2786      -     -    0s
     0     0 64145.9785    0  121          - 64145.9785      -     -    0s
     0     0 64874.6793    0   71          - 64874.6793      -     -    0s
     0     0 66011.5827    0   67          - 66011.5827      -     -    0s
     0     2 66278.6128    0   68          - 66278.6128      -     -    0s

Cutting planes:
  User: 6
  Lazy constraints: 8

Explored 1 nodes (2788 simplex iterations) in 0.41 seconds (0.36 work units)
Thread count was 16 (of 16 available processors)

Solution count 0

Node limit reached
Best objective -, best bound 6.655654040023e+04, gap -

User-callback calls 379, time in user-callback 0.14 sec

I'm currently working within the root \(NODCNT = 1\) and would like to know how to properly save the relaxed variable values associated with the best bound. So far I have the following snippet of code to do so

def Callback(m, where):  
    if where == GRB.Callback.MIPNODE and m.cbGet(GRB.Callback.MIPNODE_NODCNT) >= 0 and m.cbGet(GRB.Callback.MIPNODE_STATUS) == 2:
        cbz  = m.cbGetNodeRel(m._z)
        cbY  = m.cbGetNodeRel(m._Y)
        cbX1 = m.cbGetNodeRel(m._X1)
        cbX2 = m.cbGetNodeRel(m._X2)
        cbH1 = m.cbGetNodeRel(m._H1)
        cbH2 = m.cbGetNodeRel(m._H2)
        cbF  = m.cbGetNodeRel(m._F)
        cbH0 = m.cbGetNodeRel(m._F0)
    with open('Last_Relaxed_Solution.txt',mode = 'w') as file:
            file.write('Bound Value:{:.2f}\n'.format(m.cbGet(GRB.Callback.MIPNODE_OBJBND)))
            for i in V:
                file.write('{:.0f}:{:.3f}\n'.format(i,cbz[i]))
            file.write('\n')      
            for (i,j) in m._A:
                if i < j and cbX1[i,j]+cbY[i,j]+cbX2[i,j] >= m._IntFeasTol:
                    file.write('{}\t{:.3f}\t{:.3f}\t{:.3f}\t{:.3f}\n'.format((i,j),cbX1[i,j],cbY[i,j],cbX2[i,j],cbX1[i,j]+cbX2[i,j]+cbY[i,j]))
                if i > j and cbX1[i,j]+cbY[j,i]+cbX2[i,j] >= m._IntFeasTol:
                    file.write('{}\t{:.3f}\t{:.3f}\t{:.3f}\t{:.3f}\n'.format((i,j),cbX1[i,j],cbY[j,i],cbX2[i,j],cbX1[i,j]+cbX2[i,j]+cbY[j,i]))

At first I thought this was working well but then I realized that the bound and the variable values that are being saved correspond to the bound 66011.5827 instead of 6.655654040023e+04, also, why isn't that bound being printed in the log since it's better than 66278.6128? 

Bound Value:66011.58
1    0.933    
3    0.386    
4    0.307    
5    0.216    
6    0.747    
8    0.389    
9    0.022

(0, 1)    0.933    0.000    0.000    
(0, 3)    0.078    -0.000    -0.000    
(0, 4)    0.307    -0.000    0.000    
(0, 5)    0.216    0.000    0.000    
(0, 6)    0.747    0.000    0.000    
(0, 8)    0.368    -0.000    0.000    
(0, 9)    0.022    -0.000    0.000    
(1, 0)    0.000    0.000    0.933    
(1, 2)    0.000    -0.000    0.933    
(1, 3)    0.000    0.318    -0.000    
(1, 4)    0.067    0.240    0.693    
(1, 5)    0.067    0.149    0.784    
(1, 6)    0.000    0.747    -0.000    
(1, 8)    -0.000    0.389    0.544    
(1, 9)    0.000    0.022    -0.000    
(2, 1)    0.933    -0.000    0.000    
(2, 5)    0.216    -0.000    0.000    
(2, 8)    0.389    -0.000    -0.000    
(3, 0)    0.000    -0.000    0.078    
(3, 1)    -0.000    0.318    -0.000    
(3, 4)    0.307    -0.000    0.386    
(3, 5)    0.216    -0.000    -0.000    
(3, 6)    0.427    0.321    0.065    
(3, 7)    0.000    -0.000    0.386    
(3, 8)    0.389    -0.000    0.386    
(3, 9)    0.000    0.022    0.160    
(4, 0)    0.000    -0.000    0.307    
(4, 1)    0.693    0.240    0.067    
(4, 3)    0.386    -0.000    0.307    
(4, 5)    0.216    -0.000    0.307    
(4, 6)    0.625    0.122    0.186    
(4, 7)    -0.000    0.000    0.307    
(4, 8)    0.389    -0.000    0.307    
(4, 9)    -0.000    0.022    0.286    
(5, 0)    -0.000    0.000    0.216    
(5, 1)    0.784    0.149    0.067    
(5, 2)    0.000    -0.000    0.216    
(5, 3)    0.000    -0.000    0.216    
(5, 4)    0.307    -0.000    0.216    
(5, 6)    0.000    0.216    -0.000    
(5, 7)    0.000    0.000    0.195    
(5, 8)    0.389    -0.000    0.216    
(5, 9)    -0.000    0.022    0.000    
(6, 0)    0.000    0.000    0.747    
(6, 1)    -0.000    0.747    -0.000    
(6, 3)    0.065    0.321    0.427    
(6, 4)    0.186    0.122    0.625    
(6, 5)    -0.000    0.216    0.000    
(6, 7)    0.000    -0.000    0.747    
(6, 8)    0.000    0.389    0.000    
(6, 9)    0.022    -0.000    0.747    
(7, 3)    0.386    -0.000    0.000    
(7, 4)    0.307    0.000    -0.000    
(7, 5)    0.195    0.000    0.000    
(7, 6)    0.747    -0.000    0.000    
(7, 8)    0.389    0.000    -0.000    
(8, 0)    0.000    -0.000    0.368    
(8, 1)    0.544    0.389    0.000    
(8, 2)    0.000    -0.000    0.389    
(8, 3)    0.386    -0.000    0.389    
(8, 4)    0.307    -0.000    0.389    
(8, 5)    0.216    -0.000    0.389    
(8, 6)    0.000    0.389    -0.000    
(8, 7)    -0.000    0.000    0.389    
(8, 9)    -0.000    0.022    0.000    
(9, 0)    0.000    -0.000    0.022    
(9, 1)    0.000    0.022    0.000    
(9, 3)    0.160    0.022    0.000    
(9, 4)    0.286    0.022    -0.000    
(9, 5)    0.000    0.022    0.000    
(9, 6)    0.747    -0.000    0.022    
(9, 8)    0.000    0.022    0.000