Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:26:22

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.22443461418151855,
    "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 4 rows, 3 columns and 6 nonzeros\nModel fingerprint: 0x4afca4e9\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+05, 2e+05]\n  Bounds range     [5e+04, 5e+04]\n  RHS range        [2e+05, 1e+06]\nPresolve removed 4 rows and 3 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\nIteration    Objective       Primal Inf.    Dual Inf.      Time\n       0    2.0000000e+11   0.000000e+00   0.000000e+00      0s\n\nSolved in 0 iterations and 0.00 seconds (0.00 work units)\nOptimal objective  2.000000000e+11\nOptimal value: 200000000000.0\nx[1] = 200000.000\nx[2] = 600000.000\nx[3] = 200000.000\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 200000000000.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.2352652549743652,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpuq3t1pd4.py\", line 69, in <module>\n    budget_allocation_optimization()\n  File \"/tmp/tmpuq3t1pd4.py\", line 35, in budget_allocation_optimization\n    objective = mdl.sum(populations[i] * x[i] for i in safe_range)\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/tmpuq3t1pd4.py\", line 35, in <genexpr>\n    objective = mdl.sum(populations[i] * x[i] for i in safe_range)\nKeyError: 0\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpuq3t1pd4.py\", line 69, in <module>\n    budget_allocation_optimization()\n  File \"/tmp/tmpuq3t1pd4.py\", line 35, in budget_allocation_optimization\n    objective = mdl.sum(populations[i] * x[i] for i in safe_range)\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/tmpuq3t1pd4.py\", line 35, in <genexpr>\n    objective = mdl.sum(populations[i] * x[i] for i in safe_range)\nKeyError: 0\n",
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.9579811096191406,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmpsn6y8u_u.pyomo.lp\nReading time = 0.00 seconds\nx1: 7 rows, 3 columns, 9 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, 3 columns and 9 nonzeros\nModel fingerprint: 0x57024296\nCoefficient statistics:\n  Matrix range     [1e+00, 1e+00]\n  Objective range  [1e+05, 2e+05]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [5e+04, 1e+06]\nPresolve removed 7 rows and 3 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\nIteration    Objective       Primal Inf.    Dual Inf.      Time\n       0    2.0000000e+11   0.000000e+00   0.000000e+00      0s\n\nSolved in 0 iterations and 0.00 seconds (0.00 work units)\nOptimal objective  2.000000000e+11\nOptimal solution found!\nOptimal value: 200000000000.0\n\nBudget allocations:\nCity 1: 200000.00\nCity 2: 600000.00\nCity 3: 200000.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 200000000000.0,
    "error_message": null,
    "decision_variables": {}
  }
}
