Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 23:49:17

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.16265010833740234,
    "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 11 rows, 16 columns and 48 nonzeros\nModel fingerprint: 0x82ac1a05\nVariable types: 1 continuous, 15 integer (15 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, 4e+01]\nFound heuristic solution: objective 4.0000000\nPresolve removed 3 rows and 0 columns\nPresolve time: 0.00s\nPresolved: 8 rows, 16 columns, 33 nonzeros\nVariable types: 0 continuous, 16 integer (15 binary)\n\nRoot relaxation: objective 1.666667e+00, 14 iterations, 0.00 seconds (0.00 work units)\n\n    Nodes    |    Current Node    |     Objective Bounds      |     Work\n Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n\n     0     0    1.66667    0    5    4.00000    1.66667  58.3%     -    0s\nH    0     0                       2.0000000    1.66667  16.7%     -    0s\n     0     0    1.66667    0    5    2.00000    1.66667  16.7%     -    0s\n\nExplored 1 nodes (14 simplex iterations) in 0.01 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 2: 2 4 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 2.000000000000e+00, best bound 2.000000000000e+00, gap 0.0000%\nOptimal value: 2.0\nStudent 1 assigned to classroom 103\nStudent 2 assigned to classroom 101\nStudent 3 assigned to classroom 102\nStudent 4 assigned to classroom 101\nStudent 5 assigned to classroom 103\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.7004902362823486,
    "return_code": 0,
    "stdout": "Optimal value: 2.0\nStudent 1 is assigned to classroom 103\nStudent 2 is assigned to classroom 103\nStudent 3 is assigned to classroom 102\nStudent 4 is assigned to classroom 101\nStudent 5 is assigned to classroom 101\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.9845895767211914,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpufmvm455.pyomo.lp\nReading time = 0.00 seconds\nx1: 11 rows, 16 columns, 48 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 11 rows, 16 columns and 48 nonzeros\nModel fingerprint: 0x0a0ffb40\nVariable types: 0 continuous, 16 integer (15 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, 4e+01]\nFound heuristic solution: objective 4.0000000\nPresolve removed 3 rows and 0 columns\nPresolve time: 0.00s\nPresolved: 8 rows, 16 columns, 33 nonzeros\nVariable types: 0 continuous, 16 integer (15 binary)\n\nRoot relaxation: objective 1.666667e+00, 12 iterations, 0.00 seconds (0.00 work units)\n\n    Nodes    |    Current Node    |     Objective Bounds      |     Work\n Expl Unexpl |  Obj  Depth IntInf | Incumbent    BestBd   Gap | It/Node Time\n\n     0     0    1.66667    0    5    4.00000    1.66667  58.3%     -    0s\nH    0     0                       2.0000000    1.66667  16.7%     -    0s\n     0     0    1.66667    0    5    2.00000    1.66667  16.7%     -    0s\n\nExplored 1 nodes (12 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 2: 2 4 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 2.000000000000e+00, best bound 2.000000000000e+00, gap 0.0000%\nOptimal solution found!\nOptimal value: 2.0\n\nAssignment of students to classrooms:\nStudent 1 assigned to Classroom 101\nStudent 2 assigned to Classroom 102\nStudent 3 assigned to Classroom 102\nStudent 4 assigned to Classroom 101\nStudent 5 assigned to Classroom 103\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 2.0,
    "error_message": null,
    "decision_variables": {}
  }
}
