Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-27 23:47:35

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.18070054054260254,
    "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/tmpimb_e6gq.py\", line 81, in <module>\n    optimize_tennis_schedule()\n  File \"/tmp/tmpimb_e6gq.py\", line 47, in optimize_tennis_schedule\n    gp.quicksum(travel_distances[i, j] * x[i, j] for i in players for j in match_nums),\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmpimb_e6gq.py\", line 47, in <genexpr>\n    gp.quicksum(travel_distances[i, j] * x[i, j] for i in players for j in match_nums),\nKeyError: (1, 102)\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpimb_e6gq.py\", line 81, in <module>\n    optimize_tennis_schedule()\n  File \"/tmp/tmpimb_e6gq.py\", line 47, in optimize_tennis_schedule\n    gp.quicksum(travel_distances[i, j] * x[i, j] for i in players for j in match_nums),\n  File \"src/gurobipy/_helpers.pyx\", line 41, in gurobipy._helpers.quicksum\n  File \"/tmp/tmpimb_e6gq.py\", line 47, in <genexpr>\n    gp.quicksum(travel_distances[i, j] * x[i, j] for i in players for j in match_nums),\nKeyError: (1, 102)\n",
    "decision_variables": {},
    "retry_attempt": 4
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 2.0945796966552734,
    "return_code": 0,
    "stdout": "Optimal value: 0.0\nx[1,102] = 1.000\nx[2,103] = 1.000\nx[3,101] = 1.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 0.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 4
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.1143240928649902,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmprn0gor07.pyomo.lp\nReading time = 0.00 seconds\nx1: 6 rows, 9 columns, 18 nonzeros\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: 0xfc697783\nVariable types: 0 continuous, 9 integer (9 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+02]\n  Objective range  [8e+00, 2e+01]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [1e+00, 2e+02]\nFound heuristic solution: objective 38.5000000\nPresolve removed 6 rows and 9 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\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 2: 0 38.5 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 0.000000000000e+00, best bound 0.000000000000e+00, gap 0.0000%\nOptimal solution found!\nOptimal value: 0.0\n\nAssignment of players to matches:\nPlayer 1 assigned to Match 102\nPlayer 2 assigned to Match 101\nPlayer 2 assigned to Match 103\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 0.0,
    "error_message": null,
    "decision_variables": {},
    "retry_attempt": 4
  }
}
