Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:30:24

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.16910600662231445,
    "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 9 rows, 9 columns and 27 nonzeros\nModel fingerprint: 0xac04a24b\nVariable types: 0 continuous, 9 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 5e+05]\n  Objective range  [7e+00, 1e+01]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [5e+00, 2e+06]\nFound heuristic solution: objective 69.0000000\nPresolve removed 9 rows and 9 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: 82.5 69 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 8.250000000000e+01, best bound 8.250000000000e+01, gap 0.0000%\nOptimal value: 82.5\nx[1, Steel] = 2\nx[2, Steel] = 3\nx[3, Steel] = 4\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 82.5,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.1225271224975586,
    "return_code": 0,
    "stdout": "Optimal value: 82.5\nPark 1, Coaster Type Steel: 2\nPark 2, Coaster Type Steel: 3\nPark 3, Coaster Type Steel: 4\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 82.5,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.02946138381958,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmps6i78n9g.pyomo.lp\nReading time = 0.00 seconds\nx1: 9 rows, 9 columns, 27 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 9 rows, 9 columns and 27 nonzeros\nModel fingerprint: 0xac04a24b\nVariable types: 0 continuous, 9 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 5e+05]\n  Objective range  [7e+00, 1e+01]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [5e+00, 2e+06]\nFound heuristic solution: objective 69.0000000\nPresolve removed 9 rows and 9 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: 82.5 69 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 8.250000000000e+01, best bound 8.250000000000e+01, gap 0.0000%\nOptimal solution found!\nOptimal value: 82.5\n\nVariable values:\nx[1, Steel] = 2\nx[2, Steel] = 3\nx[3, Steel] = 4\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 82.5,
    "error_message": null,
    "decision_variables": {}
  }
}
