Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:43:29

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.17927932739257812,
    "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/tmp1hgjswm9.py\", line 63, in <module>\n    optimize_friendships()\n  File \"/tmp/tmp1hgjswm9.py\", line 44, in optimize_friendships\n    model.addConstr(friendships[(i, j)] == friendships[(j, i)], name=f\"mutual_friendship_{i}_{j}\")\nKeyError: (2, 1)\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmp1hgjswm9.py\", line 63, in <module>\n    optimize_friendships()\n  File \"/tmp/tmp1hgjswm9.py\", line 44, in optimize_friendships\n    model.addConstr(friendships[(i, j)] == friendships[(j, i)], name=f\"mutual_friendship_{i}_{j}\")\nKeyError: (2, 1)\n",
    "decision_variables": {},
    "retry_attempt": 4
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.0649874210357666,
    "return_code": 1,
    "stdout": "Error: Adding trivially infeasible linear constraint: '0 >= 3', pos: 15\n",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmp3t71q0qw.py\", line 55, in <module>\n    optimize_friendships()\n  File \"/tmp/tmp3t71q0qw.py\", line 40, in optimize_friendships\n    mdl.add_constraint(friendships[(i, j)] == friendships[(j, i)], ctname=f\"mutual_friendship_{i}_{j}\")\nKeyError: (2, 1)\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmp3t71q0qw.py\", line 55, in <module>\n    optimize_friendships()\n  File \"/tmp/tmp3t71q0qw.py\", line 40, in optimize_friendships\n    mdl.add_constraint(friendships[(i, j)] == friendships[(j, i)], ctname=f\"mutual_friendship_{i}_{j}\")\nKeyError: (2, 1)\n",
    "decision_variables": {},
    "retry_attempt": 4
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.1529879570007324,
    "return_code": 0,
    "stdout": "WARNING: DEPRECATED: Param 'age_group_membership' declared with an implicit\ndomain of 'Any'. The default domain for Param objects is 'Any'. However, we\nwill be changing that default to 'Reals' in the future. If you really intend\nthe domain of this Paramto be 'Any', you can suppress this warning by\nexplicitly specifying 'within=Any' to the Param constructor.  (deprecated in\n5.6.9, will be removed in (or after) 6.0) (called from\n/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-\npackages/pyomo/core/base/indexed_component.py:718)\nRead LP format model from file /tmp/tmpfplm4etk.pyomo.lp\nReading time = 0.00 seconds\nx1: 45 rows, 26 columns, 85 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 45 rows, 26 columns and 85 nonzeros\nModel fingerprint: 0x62edf921\nVariable types: 1 continuous, 25 integer (25 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+00, 1e+00]\n  Bounds range     [1e+00, 1e+00]\n  RHS range        [3e+00, 2e+01]\nPresolve removed 5 rows and 6 columns\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 0\nNo other solutions better than -1e+100\n\nModel is infeasible\nBest objective -, best bound -, gap -\nWARNING: Loading a SolverResults object with a warning status into\nmodel.name=\"unknown\";\n    - termination condition: infeasible\n    - message from solver: Model was proven to be infeasible.\nProblem is infeasible\n",
    "stderr": "",
    "status": "infeasible",
    "optimal_value": null,
    "error_message": "Problem is infeasible",
    "decision_variables": {},
    "retry_attempt": 4
  }
}
