Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-25 22:40:05

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.1790609359741211,
    "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: 0xb483da46\nVariable types: 0 continuous, 9 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+02, 2e+02]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [1e+00, 1e+01]\nPresolve removed 3 rows and 0 columns\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (0 binary)\nFound heuristic solution: objective 2000.0000000\n\nRoot relaxation: objective 2.300000e+03, 1 iterations, 0.00 seconds (0.00 work units)\n\n    Nodes    |    Current Node    |     Objective Bounds      |     Work\n Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n\n*    0     0               0    2300.0000000 2300.00000  0.00%     -    0s\n\nExplored 1 nodes (1 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 2: 2300 2000 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.300000000000e+03, best bound 2.300000000000e+03, gap 0.0000%\nOptimal value: 2300.0\nMember 1 performs 3 pieces in performance 1\nMember 1 performs 2 pieces in performance 2\nMember 2 performs 4 pieces in performance 1\nMember 3 performs 3 pieces in performance 1\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2300.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.3027207851409912,
    "return_code": 0,
    "stdout": "Optimal value: 2300.0\nx[1,1] = 3.000\nx[1,2] = 2.000\nx[2,1] = 4.000\nx[3,1] = 3.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2300.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.8931136131286621,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpex38s_qi.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: 0xb483da46\nVariable types: 0 continuous, 9 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+02, 2e+02]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [1e+00, 1e+01]\nPresolve removed 3 rows and 0 columns\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (0 binary)\nFound heuristic solution: objective 2000.0000000\n\nRoot relaxation: objective 2.300000e+03, 1 iterations, 0.00 seconds (0.00 work units)\n\n    Nodes    |    Current Node    |     Objective Bounds      |     Work\n Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n\n*    0     0               0    2300.0000000 2300.00000  0.00%     -    0s\n\nExplored 1 nodes (1 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 2: 2300 2000 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.300000000000e+03, best bound 2.300000000000e+03, gap 0.0000%\nOptimal solution found!\nOptimal value: 2300.0\n\nVariable values:\nx[1, 1] = 3\nx[1, 2] = 2\nx[2, 1] = 4\nx[3, 1] = 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2300.0,
    "error_message": null,
    "decision_variables": {}
  }
}
