Installing and Using GurobiPy on DAIC
Guide to installing and configuring GurobiPy on DAIC.
2 minute read
Installation
You can install GurobiPy using pip or conda in a virtual environment. Please refer to the Managing Environment manual for more information on using pip and conda.
# Using pip (in a virtual environment or with --user)
pip install gurobipy
# Or using Conda (in a virtual environment)
conda install gurobi::gurobi
Using GurobiPy
To use GurobiPy, you need to import the gurobipy module in your Python script. Here is an example script that creates a Gurobi model and solves it:
tst_gurobi.py
import gurobipy as gp
m = gp.Model()
m.optimize()
You can run the script using the following command:
$ sinteractive --ntasks=2 --mem=2G --time=00:05:00
$ python tst_gurobi.py
Restricted license - for non-production use only - expires 2026-11-23
Gurobi Optimizer version 12.0.1 build v12.0.1rc0 (linux64 - "Red Hat Enterprise Linux")
CPU model: AMD EPYC 7543 32-Core Processor, instruction set [SSE2|AVX|AVX2]
Thread count: 64 physical cores, 64 logical processors, using up to 32 threads
Optimize a model with 0 rows, 0 columns and 0 nonzeros
Model fingerprint: 0xf9715da1
Coefficient statistics:
Matrix range [0e+00, 0e+00]
Objective range [0e+00, 0e+00]
Bounds range [0e+00, 0e+00]
RHS range [0e+00, 0e+00]
Presolve time: 0.01s
Presolve: All rows and columns removed
Iteration Objective Primal Inf. Dual Inf. Time
0 0.0000000e+00 0.000000e+00 0.000000e+00 0s
Solved in 0 iterations and 0.01 seconds (0.00 work units)
Optimal objective 0.000000000e+00
Configuring the License
If needed, and since DAIC uses a remote license server, you can specify the license settings in your script:
import gurobipy as gp
connection_params = {
"TokenServer": "flexserv-x1.tudelft.nl",
"TSPort": 27099
}
with gp.Env(params=connection_params) as env:
with gp.Model(env=env) as model:
try:
populate_and_solve(model)
except:
# Add appropriate error handling here.
raise
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