Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:32:05

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.18622303009033203,
    "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/tmpubgv37lc.py\", line 75, in <module>\n    optimize_gymnast_team()\n  File \"/tmp/tmpubgv37lc.py\", line 42, in optimize_gymnast_team\n    model.setObjective(gp.quicksum(performance_scores[i][j] * x[i,j] for i in gymnasts for j in events), GRB.MAXIMIZE)\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmpubgv37lc.py\", line 42, in <genexpr>\n    model.setObjective(gp.quicksum(performance_scores[i][j] * x[i,j] for i in gymnasts for j in events), GRB.MAXIMIZE)\nKeyError: 'Horizontal_Bar'\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpubgv37lc.py\", line 75, in <module>\n    optimize_gymnast_team()\n  File \"/tmp/tmpubgv37lc.py\", line 42, in optimize_gymnast_team\n    model.setObjective(gp.quicksum(performance_scores[i][j] * x[i,j] for i in gymnasts for j in events), GRB.MAXIMIZE)\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmpubgv37lc.py\", line 42, in <genexpr>\n    model.setObjective(gp.quicksum(performance_scores[i][j] * x[i,j] for i in gymnasts for j in events), GRB.MAXIMIZE)\nKeyError: 'Horizontal_Bar'\n",
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.0779285430908203,
    "return_code": 0,
    "stdout": "Optimal value: 82.60000000000001\nGymnast 1 participates in Event 1\nGymnast 1 participates in Event 4\nGymnast 1 participates in Event 6\nGymnast 2 participates in Event 2\nGymnast 2 participates in Event 4\nGymnast 2 participates in Event 5\nGymnast 3 participates in Event 3\nGymnast 3 participates in Event 4\nGymnast 3 participates in Event 6\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 82.60000000000001,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.9172229766845703,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmplfm3nq3v.pyomo.lp\nReading time = 0.00 seconds\nx1: 7 rows, 21 columns, 42 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 7 rows, 21 columns and 42 nonzeros\nModel fingerprint: 0x3414b970\nVariable types: 0 continuous, 21 integer (21 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 6e+00]\n  Objective range  [8e+00, 1e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [3e+00, 1e+01]\nFound heuristic solution: objective -0.0000000\nPresolve removed 6 rows and 15 columns\nPresolve time: 0.01s\nPresolved: 1 rows, 6 columns, 6 nonzeros\nFound heuristic solution: objective 55.0000000\nVariable types: 0 continuous, 6 integer (6 binary)\nFound heuristic solution: objective 81.7000000\n\nRoot relaxation: objective 8.260000e+01, 1 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               0      82.6000000   82.60000  0.00%     -    0s\n\nExplored 1 nodes (1 simplex iterations) in 0.01 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 4: 82.6 81.7 55 -0 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 8.260000000000e+01, best bound 8.260000000000e+01, gap 0.0000%\nOptimal solution found!\nOptimal value: 82.59999999999998\n\nVariable values:\nGymnast 1 participates in Floor_Exercise: 1.0\nGymnast 1 participates in Vault: 1.0\nGymnast 1 participates in Horizontal_Bar: 1.0\nGymnast 1 is on the team: 1.0\nGymnast 2 participates in Pommel_Horse: 1.0\nGymnast 2 participates in Vault: 1.0\nGymnast 2 participates in Parallel_Bars: 1.0\nGymnast 2 is on the team: 1.0\nGymnast 3 participates in Rings: 1.0\nGymnast 3 participates in Vault: 1.0\nGymnast 3 participates in Horizontal_Bar: 1.0\nGymnast 3 is on the team: 1.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 82.59999999999998,
    "error_message": null,
    "decision_variables": {}
  }
}
