Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:28:17

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.1878657341003418,
    "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 3 rows, 3 columns and 9 nonzeros\nModel fingerprint: 0x253bbe72\nVariable types: 0 continuous, 3 integer (3 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+01]\n  Objective range  [1e+02, 2e+02]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [6e+00, 3e+01]\nFound heuristic solution: objective -0.0000000\nPresolve removed 3 rows and 3 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: 400 -0 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 4.000000000000e+02, best bound 4.000000000000e+02, gap 0.0000%\nOptimal value: 400.0\nWrestler 1 selected: 1\nWrestler 2 selected: 1\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 400.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.177260160446167,
    "return_code": 0,
    "stdout": "Optimal value: 400.0\nWrestler 0 selected: Days held = 150, Eliminations = 8, Team = Team A\nWrestler 1 selected: Days held = 250, Eliminations = 12, Team = Team B\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 400.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 2.1138861179351807,
    "return_code": 0,
    "stdout": "WARNING: DEPRECATED: Param 'team' declared with an implicit domain of 'Any'.\nThe default domain for Param objects is 'Any'.  However, we will be changing\nthat default to 'Reals' in the future.  If you really intend the domain of\nthis Paramto be 'Any', you can suppress this warning by explicitly specifying\n'within=Any' to the Param constructor. (deprecated in 5.6.9, will be removed\nin (or after) 6.0) (called from\n/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-\npackages/pyomo/core/base/indexed_component.py:718)\nRead LP format model from file /tmp/tmp2hu50md0.pyomo.lp\nReading time = 0.00 seconds\nx1: 3 rows, 3 columns, 9 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 3 rows, 3 columns and 9 nonzeros\nModel fingerprint: 0x253bbe72\nVariable types: 0 continuous, 3 integer (3 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+01]\n  Objective range  [1e+02, 2e+02]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [6e+00, 3e+01]\nFound heuristic solution: objective -0.0000000\nPresolve removed 3 rows and 3 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: 400 -0 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 4.000000000000e+02, best bound 4.000000000000e+02, gap 0.0000%\nOptimal value: 400.0\n\nSelected Wrestlers:\nWrestler 1: Days_held=150, Eliminations=8, Team=Team A\nWrestler 2: Days_held=250, Eliminations=12, Team=Team B\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 400.0,
    "error_message": null,
    "decision_variables": {}
  }
}
