Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:30:30

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.16157746315002441,
    "return_code": 1,
    "stdout": "Restricted license - for non-production use only - expires 2026-11-23\n",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmp09lvs7d8.py\", line 66, in <module>\n    gas_station_allocation()\n  File \"/tmp/tmp09lvs7d8.py\", line 38, in gas_station_allocation\n    model.setObjective(gp.quicksum(profit[s, c] * x[s, c] for s in stations for c in companies), GRB.MAXIMIZE)\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmp09lvs7d8.py\", line 38, in <genexpr>\n    model.setObjective(gp.quicksum(profit[s, c] * x[s, c] for s in stations for c in companies), GRB.MAXIMIZE)\nKeyError: (1, 2)\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmp09lvs7d8.py\", line 66, in <module>\n    gas_station_allocation()\n  File \"/tmp/tmp09lvs7d8.py\", line 38, in gas_station_allocation\n    model.setObjective(gp.quicksum(profit[s, c] * x[s, c] for s in stations for c in companies), GRB.MAXIMIZE)\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmp09lvs7d8.py\", line 38, in <genexpr>\n    model.setObjective(gp.quicksum(profit[s, c] * x[s, c] for s in stations for c in companies), GRB.MAXIMIZE)\nKeyError: (1, 2)\n",
    "decision_variables": {},
    "retry_attempt": 1
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.1682145595550537,
    "return_code": 0,
    "stdout": "Optimal value: 22500.0\nStation 1 is assigned to Company 1\nStation 1 is assigned to Company 2\nStation 1 is assigned to Company 3\nStation 2 is assigned to Company 1\nStation 2 is assigned to Company 2\nStation 2 is assigned to Company 3\nStation 3 is assigned to Company 1\nStation 3 is assigned to Company 2\nStation 3 is assigned to Company 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 22500.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 1
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.8803818225860596,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpvn1mmgup.pyomo.lp\nReading time = 0.00 seconds\nx1: 6 rows, 9 columns, 18 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 6 rows, 9 columns and 18 nonzeros\nModel fingerprint: 0x62a0d712\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [5e+03, 1e+04]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+02]\nFound heuristic solution: objective 22500.000000\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: 22500 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.250000000000e+04, best bound 2.250000000000e+04, gap 0.0000%\nOptimal solution found!\nOptimal value: 22500.0\n\nVariable values:\nStation 1 assigned to Company 1\nStation 2 assigned to Company 2\nStation 3 assigned to Company 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 22500.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 1
  }
}
