Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 23:14:46

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.5697348117828369,
    "return_code": 1,
    "stdout": "Restricted license - for non-production use only - expires 2026-11-23\n",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmp_v7eeqr1.py\", line 55, in <module>\n    restaurant_optimization()\n  File \"/tmp/tmp_v7eeqr1.py\", line 23, in restaurant_optimization\n    assert len(costs) == len(students) * len(restaurants), \"Costs length mismatch\"\nAssertionError: Costs length mismatch\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmp_v7eeqr1.py\", line 55, in <module>\n    restaurant_optimization()\n  File \"/tmp/tmp_v7eeqr1.py\", line 23, in restaurant_optimization\n    assert len(costs) == len(students) * len(restaurants), \"Costs length mismatch\"\nAssertionError: Costs length mismatch\n",
    "decision_variables": {},
    "retry_attempt": 4
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 7.525100231170654,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpo10g2c37.py\", line 57, in <module>\n    restaurant_optimization()\n  File \"/tmp/tmpo10g2c37.py\", line 22, in restaurant_optimization\n    assert len(costs) == len(students) * len(restaurants), \"Costs length mismatch\"\nAssertionError: Costs length mismatch\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpo10g2c37.py\", line 57, in <module>\n    restaurant_optimization()\n  File \"/tmp/tmpo10g2c37.py\", line 22, in restaurant_optimization\n    assert len(costs) == len(students) * len(restaurants), \"Costs length mismatch\"\nAssertionError: Costs length mismatch\n",
    "decision_variables": {},
    "retry_attempt": 4
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 3.1181225776672363,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpb5zg_9_a.pyomo.lp\nReading time = 0.00 seconds\nx1: 3 rows, 9 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 3 rows, 9 columns and 3 nonzeros\nModel fingerprint: 0x585fa16b\nVariable types: 0 continuous, 9 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+01, 2e+01]\n  Objective range  [4e+00, 5e+00]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [1e+02, 2e+02]\nFound heuristic solution: objective 2.660000e+31\nPresolve time: 0.00s\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: 2.66e+31 \nNo other solutions better than 0\n\nModel is unbounded\nWarning: some integer variables take values larger than (2000000000)\nBest objective 2.660000000000e+31, best bound -, gap -\nWARNING: Loading a SolverResults object with a warning status into\nmodel.name=\"unknown\";\n    - termination condition: unbounded\n    - message from solver: Model was proven to be unbounded.\nProblem is unbounded\n",
    "stderr": "",
    "status": "unbounded",
    "optimal_value": null,
    "error_message": "Problem is unbounded",
    "decision_variables": {},
    "retry_attempt": 4
  }
}
