Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-28 00:07:10

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.623262882232666,
    "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: 0xa3e35162\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [3e+01, 6e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [5e+00, 2e+01]\nFound heuristic solution: objective 405.0000000\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: 405 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 4.050000000000e+02, best bound 4.050000000000e+02, gap 0.0000%\nOptimal value: 405.0\nWrestler 1 assigned to Event 101\nWrestler 1 assigned to Event 102\nWrestler 1 assigned to Event 103\nWrestler 2 assigned to Event 101\nWrestler 2 assigned to Event 102\nWrestler 2 assigned to Event 103\nWrestler 3 assigned to Event 101\nWrestler 3 assigned to Event 102\nWrestler 3 assigned to Event 103\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 405.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 3.0333573818206787,
    "return_code": 0,
    "stdout": "Optimal value: 405.0\nWrestler 1 assigned to Event 101: 1.0\nWrestler 1 assigned to Event 102: 1.0\nWrestler 1 assigned to Event 103: 1.0\nWrestler 2 assigned to Event 101: 1.0\nWrestler 2 assigned to Event 102: 1.0\nWrestler 2 assigned to Event 103: 1.0\nWrestler 3 assigned to Event 101: 1.0\nWrestler 3 assigned to Event 102: 1.0\nWrestler 3 assigned to Event 103: 1.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 405.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 2.2040367126464844,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpdnwv208g.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: 0xa3e35162\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [3e+01, 6e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [5e+00, 2e+01]\nFound heuristic solution: objective 405.0000000\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: 405 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 4.050000000000e+02, best bound 4.050000000000e+02, gap 0.0000%\nOptimal solution found!\nOptimal value: 405.0\n\nAssignment of wrestlers to events:\nWrestler 1 assigned to Event 101\nWrestler 1 assigned to Event 102\nWrestler 1 assigned to Event 103\nWrestler 2 assigned to Event 101\nWrestler 2 assigned to Event 102\nWrestler 2 assigned to Event 103\nWrestler 3 assigned to Event 101\nWrestler 3 assigned to Event 102\nWrestler 3 assigned to Event 103\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 405.0,
    "error_message": null,
    "decision_variables": {}
  }
}
