Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-27 22:15:01

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.5748624801635742,
    "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 12 rows, 13 columns and 36 nonzeros\nModel fingerprint: 0xb39c1c57\nVariable types: 4 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+00, 1e+00]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+02]\nPresolve removed 6 rows and 3 columns\nPresolve time: 0.00s\nPresolved: 6 rows, 10 columns, 21 nonzeros\nVariable types: 0 continuous, 10 integer (9 binary)\nFound heuristic solution: objective 3.0000000\nFound heuristic solution: objective 2.0000000\nFound heuristic solution: objective 1.0000000\n\nExplored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 3: 1 2 3 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 1.000000000000e+00, best bound 1.000000000000e+00, gap 0.0000%\nOptimal value: 1.0\nAdvisor 201 is assigned students: [3] with total pet weight: 0.00\nAdvisor 202 is assigned students: [2] with total pet weight: 0.00\nAdvisor 203 is assigned students: [1] with total pet weight: 0.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 1.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 6.608972072601318,
    "return_code": 0,
    "stdout": "Optimal value: 70.0\nStudent 1 assigned to Advisor 201\nStudent 2 assigned to Advisor 201\nStudent 3 assigned to Advisor 201\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 70.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 2.797041654586792,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpx1bcd1x2.pyomo.lp\nReading time = 0.00 seconds\nx1: 12 rows, 13 columns, 36 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 12 rows, 13 columns and 36 nonzeros\nModel fingerprint: 0x04ae5fee\nVariable types: 4 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+00, 1e+00]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+02]\nPresolve removed 6 rows and 3 columns\nPresolve time: 0.00s\nPresolved: 6 rows, 10 columns, 21 nonzeros\nVariable types: 0 continuous, 10 integer (9 binary)\nFound heuristic solution: objective 3.0000000\nFound heuristic solution: objective 2.0000000\nFound heuristic solution: objective 1.0000000\n\nExplored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 3: 1 2 3 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 1.000000000000e+00, best bound 1.000000000000e+00, gap 0.0000%\nOptimal solution found!\nOptimal value: 1.0\n\nVariable values:\nAdvisor 201: Workload = 1.000\nAdvisor 202: Workload = 1.000\nAdvisor 203: Workload = 1.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 1.0,
    "error_message": null,
    "decision_variables": {}
  }
}
