Iteration final - SOLVER_EXECUTION
Sequence: 8
Timestamp: 2025-07-27 22:37:51

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.8174407482147217,
    "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, 3 columns and 6 nonzeros\nModel fingerprint: 0x3bdb21c5\nVariable types: 0 continuous, 3 integer (3 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 4e+02]\n  Objective range  [1e+02, 4e+02]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+04]\nFound heuristic solution: objective 770.0000000\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: 770 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 7.700000000000e+02, best bound 7.700000000000e+02, gap 0.0000%\nOptimal value: 770.0\nConcert 1 at Stadium 101 is selected with expected attendance: 120.0\nConcert 2 at Stadium 102 is selected with expected attendance: 250.0\nConcert 3 at Stadium 103 is selected with expected attendance: 400.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 770.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 7.810990333557129,
    "return_code": 0,
    "stdout": "Optimal value: 770.0\nx[1,101] = 1.000\nx[2,102] = 1.000\nx[3,103] = 1.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 770.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 2.831141948699951,
    "return_code": 1,
    "stdout": "WARNING: Initializing ordered Set Concerts with a fundamentally unordered data\nsource (type: set).  This WILL potentially lead to nondeterministic behavior\nin Pyomo\nWARNING: Initializing ordered Set Stadiums with a fundamentally unordered data\nsource (type: set).  This WILL potentially lead to nondeterministic behavior\nin Pyomo\nERROR: Rule failed for Param 'AttendanceCoefficient' with index (1, 102):\nKeyError: \"Index '(1, 102)' is not valid for indexed component\n'AttendanceCoefficient'\"\nERROR: Constructing component 'AttendanceCoefficient' from data=None failed:\n        KeyError: \"Index '(1, 102)' is not valid for indexed component\n        'AttendanceCoefficient'\"\n",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpktoqcyos.py\", line 90, in <module>\n    concert_singer_optimization()\n  File \"/tmp/tmpktoqcyos.py\", line 34, in concert_singer_optimization\n    model.AttendanceCoefficient = pyo.Param(model.ConcertStadiumPairs, initialize=attendance_coefficients)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 571, in __setattr__\n    self.add_component(name, val)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 1101, in add_component\n    val.construct(data)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/param.py\", line 850, in construct\n    self._construct_from_rule_using_setitem()\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 772, in _construct_from_rule_using_setitem\n    self[index] = rule(block, index)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 692, in __setitem__\n    index = self._validate_index(index)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 870, in _validate_index\n    raise KeyError(\nKeyError: \"Index '(1, 102)' is not valid for indexed component 'AttendanceCoefficient'\"\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpktoqcyos.py\", line 90, in <module>\n    concert_singer_optimization()\n  File \"/tmp/tmpktoqcyos.py\", line 34, in concert_singer_optimization\n    model.AttendanceCoefficient = pyo.Param(model.ConcertStadiumPairs, initialize=attendance_coefficients)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 571, in __setattr__\n    self.add_component(name, val)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 1101, in add_component\n    val.construct(data)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/param.py\", line 850, in construct\n    self._construct_from_rule_using_setitem()\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 772, in _construct_from_rule_using_setitem\n    self[index] = rule(block, index)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 692, in __setitem__\n    index = self._validate_index(index)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/indexed_component.py\", line 870, in _validate_index\n    raise KeyError(\nKeyError: \"Index '(1, 102)' is not valid for indexed component 'AttendanceCoefficient'\"\n",
    "decision_variables": {}
  }
}
