Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-25 22:35:27

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.17367005348205566,
    "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, 27 columns and 81 nonzeros\nModel fingerprint: 0x02df7f6d\nVariable types: 0 continuous, 27 integer (27 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [5e-01, 7e-01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+01]\nFound heuristic solution: objective 1.8000000\nPresolve removed 9 rows and 27 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 1: 1.8 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 1.800000000000e+00, best bound 1.800000000000e+00, gap 0.0000%\nOptimal value: 1.8\nFlight 1 assigned to Airport 3 and Company 3\nFlight 2 assigned to Airport 2 and Company 1\nFlight 3 assigned to Airport 3 and Company 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 1.8,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 0.9489374160766602,
    "return_code": 0,
    "stdout": "Optimal value: 1.7999999999999998\nFlight 1 assigned to Airport 1 and Company 1\nFlight 2 assigned to Airport 1 and Company 1\nFlight 3 assigned to Airport 1 and Company 1\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 1.7999999999999998,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.9595322608947754,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpgkkac33x.pyomo.lp\nReading time = 0.00 seconds\nx1: 9 rows, 27 columns, 81 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, 27 columns and 81 nonzeros\nModel fingerprint: 0x02df7f6d\nVariable types: 0 continuous, 27 integer (27 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [5e-01, 7e-01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+01]\nFound heuristic solution: objective 1.8000000\nPresolve removed 9 rows and 27 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 1: 1.8 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 1.800000000000e+00, best bound 1.800000000000e+00, gap 0.0000%\nOptimal solution found!\nOptimal value: 1.8\n\nFlight assignments:\nFlight 1 assigned to Airport 3 and Company 3\nFlight 2 assigned to Airport 2 and Company 1\nFlight 3 assigned to Airport 3 and Company 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 1.8,
    "error_message": null,
    "decision_variables": {}
  }
}
