Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 23:38:38

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.4013183116912842,
    "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 4 rows, 3 columns and 6 nonzeros\nModel fingerprint: 0xc3269a51\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [9e-01, 1e+00]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [1e+04, 2e+04]\nPresolve removed 3 rows and 0 columns\nPresolve time: 0.00s\nPresolved: 1 rows, 3 columns, 3 nonzeros\n\nIteration    Objective       Primal Inf.    Dual Inf.      Time\n       0    3.1200000e+04   1.750000e+03   0.000000e+00      0s\n       1    2.7600000e+04   0.000000e+00   0.000000e+00      0s\n\nSolved in 1 iterations and 0.00 seconds (0.00 work units)\nOptimal objective  2.760000000e+04\nOptimal value: 27600.0\nPrize money for player 1: 10000.00\nPrize money for player 2: 4000.00\nPrize money for player 3: 10000.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 27600.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.6338260173797607,
    "return_code": 0,
    "stdout": "Optimal value: 27600.0\nPrize money for player 1: 10000.00\nPrize money for player 2: 4000.00\nPrize money for player 3: 10000.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 27600.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.3865468502044678,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmp0bko1nz7.pyomo.lp\nReading time = 0.00 seconds\nx1: 1 rows, 3 columns, 3 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 1 rows, 3 columns and 3 nonzeros\nModel fingerprint: 0xd308fb97\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [9e-01, 1e+00]\n  Bounds range     [1e+04, 1e+04]\n  RHS range        [2e+04, 2e+04]\nPresolve time: 0.00s\nPresolved: 1 rows, 3 columns, 3 nonzeros\n\nIteration    Objective       Primal Inf.    Dual Inf.      Time\n       0    3.1200000e+04   1.750000e+03   0.000000e+00      0s\n       1    2.7600000e+04   0.000000e+00   0.000000e+00      0s\n\nSolved in 1 iterations and 0.00 seconds (0.00 work units)\nOptimal objective  2.760000000e+04\nOptimal solution found!\nOptimal value: 27600.000\n\nPrize Money Allocation:\nPlayer 1: Prize Money = 10000.00\nPlayer 2: Prize Money = 4000.00\nPlayer 3: Prize Money = 10000.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 27600.0,
    "error_message": null,
    "decision_variables": {}
  }
}
