Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-25 22:34:33

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.17676138877868652,
    "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: 0xb9e116eb\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [2e+01, 2e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [2e+00, 2e+00]\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (9 binary)\nFound heuristic solution: objective 35.0000000\nFound heuristic solution: objective 45.0000000\nFound heuristic solution: objective 60.0000000\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: 60 45 35 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 6.000000000000e+01, best bound 6.000000000000e+01, gap 0.0000%\nOptimal value: 60.0\nMember 1 assigned to Round 1\nMember 1 assigned to Round 3\nMember 2 assigned to Round 1\nMember 2 assigned to Round 2\nMember 3 assigned to Round 2\nMember 3 assigned to Round 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 60.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 1
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.4058451652526855,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpup2r6nzm.py\", line 61, in <module>\n    decoration_competition_optimization()\n  File \"/tmp/tmpup2r6nzm.py\", line 32, in decoration_competition_optimization\n    objective = mdl.sum(rank_in_round[m, r] * x[m, r] for m in members for r in rounds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/model.py\", line 3342, in sum\n    return self._aggregator.sum(args)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/aggregator.py\", line 198, in sum\n    sum_res = self._sum_with_iter(sum_args)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/aggregator.py\", line 221, in _sum_with_iter\n    for item in args:\n  File \"/tmp/tmpup2r6nzm.py\", line 32, in <genexpr>\n    objective = mdl.sum(rank_in_round[m, r] * x[m, r] for m in members for r in rounds)\nKeyError: (1, 2)\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpup2r6nzm.py\", line 61, in <module>\n    decoration_competition_optimization()\n  File \"/tmp/tmpup2r6nzm.py\", line 32, in decoration_competition_optimization\n    objective = mdl.sum(rank_in_round[m, r] * x[m, r] for m in members for r in rounds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/model.py\", line 3342, in sum\n    return self._aggregator.sum(args)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/aggregator.py\", line 198, in sum\n    sum_res = self._sum_with_iter(sum_args)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/docplex/mp/aggregator.py\", line 221, in _sum_with_iter\n    for item in args:\n  File \"/tmp/tmpup2r6nzm.py\", line 32, in <genexpr>\n    objective = mdl.sum(rank_in_round[m, r] * x[m, r] for m in members for r in rounds)\nKeyError: (1, 2)\n",
    "decision_variables": {},
    "retry_attempt": 1
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.8649582862854004,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpf6suvoci.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: 0x99ae817a\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [2e+01, 2e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [2e+00, 2e+00]\nFound heuristic solution: objective -0.0000000\nPresolve time: 0.00s\nPresolved: 6 rows, 9 columns, 18 nonzeros\nVariable types: 0 continuous, 9 integer (9 binary)\n\nRoot relaxation: objective 6.000000e+01, 4 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      60.0000000   60.00000  0.00%     -    0s\n\nExplored 1 nodes (4 simplex iterations) in 0.00 seconds (0.00 work units)\nThread count was 32 (of 128 available processors)\n\nSolution count 2: 60 -0 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 6.000000000000e+01, best bound 6.000000000000e+01, gap 0.0000%\nOptimal value: 60.0\n\nAssignment values:\nMember 1 assigned to Round 1\nMember 1 assigned to Round 3\nMember 2 assigned to Round 1\nMember 2 assigned to Round 2\nMember 3 assigned to Round 2\nMember 3 assigned to Round 3\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 60.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 1
  }
}
