Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-25 22:32:41

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.18808698654174805,
    "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 24 rows, 9 columns and 30 nonzeros\nModel fingerprint: 0x34d8754b\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 6e+01]\n  Objective range  [5e+02, 1e+03]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 3e+00]\nFound heuristic solution: objective 3000.0000000\nPresolve removed 24 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: 2250 3000 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.250000000000e+03, best bound 2.250000000000e+03, gap 0.0000%\nOptimal value: 2250.0\nLens 1 assigned to Mountain 1\nLens 2 assigned to Mountain 2\nLens 3 assigned to Mountain 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2250.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.147120714187622,
    "return_code": 0,
    "stdout": "Optimal value: 2250.0\nLens 1 assigned to Mountain 1\nLens 2 assigned to Mountain 2\nLens 3 assigned to Mountain 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2250.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.9005165100097656,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpuydla0g5.pyomo.lp\nReading time = 0.00 seconds\nx1: 24 rows, 10 columns, 30 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 24 rows, 10 columns and 30 nonzeros\nModel fingerprint: 0xc476e296\nVariable types: 1 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 6e+01]\n  Objective range  [5e+02, 1e+03]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 3e+00]\nFound heuristic solution: objective 3000.0000000\nPresolve removed 24 rows and 10 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: 2250 3000 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.250000000000e+03, best bound 2.250000000000e+03, gap 0.0000%\nOptimal value: 2250.0\n\nSelected lenses for each mountain:\nMountain 1:\n  Lens 1 selected\nMountain 2:\n  Lens 2 selected\nMountain 3:\n  Lens 3 selected\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2250.0,
    "error_message": null,
    "decision_variables": {}
  }
}
