Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 23:27:52

Prompt:
Generated solver codes with templates and executed them with retry logic

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.49564123153686523,
    "return_code": 0,
    "stdout": "Restricted license - for non-production use only - expires 2026-11-23\nGurobi Optimizer version 12.0.2 build v12.0.2rc0 (linux64 - \"Red Hat Enterprise Linux 9.4 (Plow)\")\n\nCPU model: AMD EPYC 7513 32-Core Processor, instruction set [SSE2|AVX|AVX2]\nThread count: 64 physical cores, 128 logical processors, using up to 32 threads\n\nOptimize a model with 10 rows, 8 columns and 16 nonzeros\nModel fingerprint: 0x931f2f2a\nVariable types: 0 continuous, 8 integer (5 binary)\nCoefficient statistics:\n  Matrix range     [1e-02, 1e+00]\n  Objective range  [1e-02, 2e+04]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e-01, 2e+01]\nFound heuristic solution: objective 172000.00000\nPresolve removed 10 rows and 8 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\n\nExplored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 1 (of 128 available processors)\n\nSolution count 2: 297000 172000 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.970000000000e+05, best bound 2.970000000000e+05, gap 0.0000%\nOptimal value: 297000.0\nHome games at stadium 1: 1\nHome games at stadium 2: 19\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 297000.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 5.812991380691528,
    "return_code": 0,
    "stdout": "Optimal value: 297000.0\nHome games at stadium 0: 0\nHome games at stadium 1: 1.0\nHome games at stadium 2: 19.0\nGame 0 scheduled: 0\nGame 1 scheduled: 0\nGame 2 scheduled: 0\nGame 3 scheduled: 0\nGame 4 scheduled: 0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 297000.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 2.1465721130371094,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpo__2pn64.pyomo.lp\nReading time = 0.00 seconds\nx1: 5 rows, 8 columns, 11 nonzeros\nSet parameter TimeLimit to value 300\nSet parameter MIPGap to value 0.01\nGurobi Optimizer version 12.0.2 build v12.0.2rc0 (linux64 - \"Red Hat Enterprise Linux 9.4 (Plow)\")\n\nCPU model: AMD EPYC 7513 32-Core Processor, instruction set [SSE2|AVX|AVX2]\nThread count: 64 physical cores, 128 logical processors, using up to 32 threads\n\nNon-default parameters:\nTimeLimit  300\nMIPGap  0.01\n\nOptimize a model with 5 rows, 8 columns and 11 nonzeros\nModel fingerprint: 0x296f22aa\nVariable types: 0 continuous, 8 integer (5 binary)\nCoefficient statistics:\n  Matrix range     [1e-02, 1e+00]\n  Objective range  [1e-02, 2e+04]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e-01, 2e+01]\nFound heuristic solution: objective 172000.00000\nPresolve removed 5 rows and 8 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\n\nExplored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 1 (of 128 available processors)\n\nSolution count 2: 297000 172000 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.970000000000e+05, best bound 2.970000000000e+05, gap 0.0000%\nOptimal solution found!\nOptimal value: 297000.0\n\nVariable values:\ny[1] = 0\ny[2] = 1\ny[3] = 19\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 297000.0,
    "error_message": null,
    "decision_variables": {}
  }
}
