I am optimizing 2 pyomo energy models with a solver called GLPK.
When you let solver write its output via: result = optim.solve(model, tee=True)
Solver gives an output in cmd as:
GLPSOL: GLPK LP/MIP Solver, v4.65
Parameter(s) specified in the command line:
--write /home/okan/Desktop/urbs-oemof/tmpk76ybo_5.glpk.raw --wglp /home/okan/Desktop/urbs-oemof/tmp8qv9hajy.glpk.glp
--cpxlp /home/okan/Desktop/urbs-oemof/tmpa9k8e86c.pyomo.lp
Reading problem data from '/home/okan/Desktop/urbs-oemof/tmpa9k8e86c.pyomo.lp'...
1519 rows, 1155 columns, 3894 non-zeros
9618 lines were read
Writing problem data to '/home/okan/Desktop/urbs-oemof/tmp8qv9hajy.glpk.glp'...
7210 lines were written
GLPK Simplex Optimizer, v4.65
1519 rows, 1155 columns, 3894 non-zeros
Preprocessing...
1159 rows, 1011 columns, 2979 non-zeros
Scaling...
A: min|aij| = 4.705e-03 max|aij| = 7.964e+02 ratio = 1.693e+05
GM: min|aij| = 4.065e-01 max|aij| = 2.460e+00 ratio = 6.052e+00
EQ: min|aij| = 1.652e-01 max|aij| = 1.000e+00 ratio = 6.052e+00
Constructing initial basis...
Size of triangular part is 1156
0: obj = 1.914903944e+07 inf = 8.143e+06 (60)
68: obj = 7.130756139e+10 inf = 0.000e+00 (0)
* 266: obj = 2.358801019e+10 inf = 1.920e-10 (0) 1
OPTIMAL LP SOLUTION FOUND
Time used: 0.0 secs
Memory used: 1.6 Mb (1728515 bytes)
Writing basic solution to '/home/okan/Desktop/urbs-oemof/tmpk76ybo_5.glpk.raw'...
2683 lines were written
I would like to compare the Memory used and Time used of GLPK from both models. How would I get this Memory used and Time used as float values in python? Is there a way? or what else could you offer me, eventually does the same thing?
Step 1:
result = optim.solve(model, logfile='log.txt', tee=False)
Step 2,3 and 4:
with open('log.txt', 'r') as log:
mem = log.read().replace('\n', ' ')
mem = float(mem[mem.find('Memory used:')+12:
mem.find('Mb')])