Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 21:59:34

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.1987743377685547,
    "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 6 rows, 9 columns and 18 nonzeros\nModel fingerprint: 0x483c75ed\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [2e+01, 4e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+00]\nFound heuristic solution: objective 225.0000000\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: 225 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.250000000000e+02, best bound 2.250000000000e+02, gap 0.0000%\nOptimal value: 225.0\nScientist 101 assigned to Project 1\nScientist 101 assigned to Project 2\nScientist 101 assigned to Project 3\nScientist 102 assigned to Project 1\nScientist 102 assigned to Project 2\nScientist 102 assigned to Project 3\nScientist 103 assigned to Project 1\nScientist 103 assigned to Project 2\nScientist 103 assigned to Project 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 225.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 3.2064168453216553,
    "return_code": 0,
    "stdout": "Optimal value: 225.0\nx[101,1] = 1.000\nx[101,2] = 1.000\nx[101,3] = 1.000\nx[102,1] = 1.000\nx[102,2] = 1.000\nx[102,3] = 1.000\nx[103,1] = 1.000\nx[103,2] = 1.000\nx[103,3] = 1.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 225.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 3.6448867321014404,
    "return_code": 0,
    "stdout": "WARNING: Initializing ordered Set I with a fundamentally unordered data source\n(type: set).  This WILL potentially lead to nondeterministic behavior in Pyomo\nWARNING: Initializing ordered Set J with a fundamentally unordered data source\n(type: set).  This WILL potentially lead to nondeterministic behavior in Pyomo\nRead LP format model from file /tmp/tmpuk0os05z.pyomo.lp\nReading time = 0.00 seconds\nx1: 6 rows, 9 columns, 18 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 6 rows, 9 columns and 18 nonzeros\nModel fingerprint: 0x483c75ed\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [2e+01, 4e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+00]\nFound heuristic solution: objective 225.0000000\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: 225 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.250000000000e+02, best bound 2.250000000000e+02, gap 0.0000%\nOptimal solution found!\nOptimal value: 225.0\n\nAssignment of scientists to projects:\nScientist 101 assigned to Project 1\nScientist 101 assigned to Project 2\nScientist 101 assigned to Project 3\nScientist 102 assigned to Project 1\nScientist 102 assigned to Project 2\nScientist 102 assigned to Project 3\nScientist 103 assigned to Project 1\nScientist 103 assigned to Project 2\nScientist 103 assigned to Project 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 225.0,
    "error_message": null,
    "decision_variables": {}
  }
}
