Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-25 22:46:09

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.17924261093139648,
    "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 6 rows, 9 columns and 12 nonzeros\nModel fingerprint: 0x3e0ac7e1\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 2e+01]\n  Objective range  [8e+02, 1e+03]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [2e+00, 2e+01]\nFound heuristic solution: objective 0.0000000\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 1: 0 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 0.000000000000e+00, best bound 0.000000000000e+00, gap 0.0000%\nOptimal value: 0.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 0.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 4
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.0823657512664795,
    "return_code": 0,
    "stdout": "Optimal value: 0.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 0.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 4
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.7469301223754883,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpe5o4g99o.py\", line 106, in <module>\n    train_station_optimization()\n  File \"/tmp/tmpe5o4g99o.py\", line 37, in train_station_optimization\n    assert (t, s) in passenger_count, f\"Missing passenger_count for train {t} at station {s}\"\nAssertionError: Missing passenger_count for train 1 at station 2\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpe5o4g99o.py\", line 106, in <module>\n    train_station_optimization()\n  File \"/tmp/tmpe5o4g99o.py\", line 37, in train_station_optimization\n    assert (t, s) in passenger_count, f\"Missing passenger_count for train {t} at station {s}\"\nAssertionError: Missing passenger_count for train 1 at station 2\n",
    "decision_variables": {},
    "retry_attempt": 4
  }
}
