Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:29:19

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.18880724906921387,
    "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 18 nonzeros\nModel fingerprint: 0x892737ac\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [8e+00, 2e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 1e+00]\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (9 binary)\nFound heuristic solution: objective 26.7000000\n\nRoot relaxation: cutoff, 3 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     cutoff    0        26.70000   26.70000  0.00%     -    0s\n\nExplored 1 nodes (3 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 1: 26.7 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.670000000000e+01, best bound 2.670000000000e+01, gap 0.0000%\nOptimal value: 26.7\nDriver 1 assigned to School 1 with distance 10.5\nDriver 2 assigned to School 2 with distance 8.7\nDriver 3 assigned to School 3 with distance 7.5\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 26.7,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.0512278079986572,
    "return_code": 0,
    "stdout": "Optimal value: 26.7\nDriver 1 assigned to School 1\nDriver 2 assigned to School 2\nDriver 3 assigned to School 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 26.7,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.809349775314331,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmp72oz8zx9.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: 0x892737ac\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [8e+00, 2e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 1e+00]\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (9 binary)\nFound heuristic solution: objective 26.7000000\n\nRoot relaxation: cutoff, 3 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     cutoff    0        26.70000   26.70000  0.00%     -    0s\n\nExplored 1 nodes (3 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 1: 26.7 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.670000000000e+01, best bound 2.670000000000e+01, gap 0.0000%\nOptimal solution found!\nOptimal value: 26.7\n\nAssignment details:\nDriver 1 assigned to School 1 with distance 10.5\nDriver 2 assigned to School 2 with distance 8.7\nDriver 3 assigned to School 3 with distance 7.5\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 26.7,
    "error_message": null,
    "decision_variables": {}
  }
}
