Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-27 23:07:42

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 2.4407458305358887,
    "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 8 rows, 9 columns and 20 nonzeros\nModel fingerprint: 0xe6ecf3fb\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [6e-01, 9e-01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 6e+00]\nFound heuristic solution: objective 2.5000000\nPresolve removed 8 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 1: 2.5 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.500000000000e+00, best bound 2.500000000000e+00, gap 0.0000%\nOptimal value: 2.5\nPlayer 1 assigned to Coach 1\nPlayer 2 assigned to Coach 1\nPlayer 3 assigned to Coach 2\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.5,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 10.121148586273193,
    "return_code": 0,
    "stdout": "Optimal value: 2.5\nx[1,1] = 1.000\nx[2,1] = 1.000\nx[3,2] = 1.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.5,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 4.559847593307495,
    "return_code": 0,
    "stdout": "WARNING: Initializing ordered Set Players with a fundamentally unordered data\nsource (type: set).  This WILL potentially lead to nondeterministic behavior\nin Pyomo\nWARNING: Initializing ordered Set Coaches with a fundamentally unordered data\nsource (type: set).  This WILL potentially lead to nondeterministic behavior\nin Pyomo\nRead LP format model from file /tmp/tmp9fxqmn8h.pyomo.lp\nReading time = 0.00 seconds\nx1: 9 rows, 9 columns, 21 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, 9 columns and 21 nonzeros\nModel fingerprint: 0x910bfc71\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [6e-01, 9e-01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 6e+00]\nFound heuristic solution: objective 2.5000000\nPresolve removed 9 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 1: 2.5 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.500000000000e+00, best bound 2.500000000000e+00, gap 0.0000%\nOptimal solution found!\nOptimal value: 2.5\n\nAssignment decisions:\nPlayer 1 assigned to Coach 1\nPlayer 2 assigned to Coach 1\nPlayer 3 assigned to Coach 2\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.5,
    "error_message": null,
    "decision_variables": {}
  }
}
