Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:28:25

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.19483685493469238,
    "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: 0x548c1a63\nVariable types: 0 continuous, 3 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 2e+02]\n  Objective range  [5e-02, 1e-01]\n  Bounds range     [1e+01, 3e+02]\n  RHS range        [3e+02, 3e+04]\nPresolve removed 4 rows and 3 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 1: 35 \n\nOptimal solution found (tolerance 1.00e-04)\nBest objective 3.500000000000e+01, best bound 3.500000000000e+01, gap 0.0000%\nOptimal value: 35.0\nPolice officers in county 1: 50.0\nPolice officers in county 2: 100.0\nPolice officers in county 3: 150.0\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 35.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.1224491596221924,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpyub1g53u.py\", line 60, in <module>\n    optimize_police_allocation()\n  File \"/tmp/tmpyub1g53u.py\", line 28, in optimize_police_allocation\n    x = {i: mdl.integer_var(name=f\"x_{i}\", lb=min_police[i], ub=max_police[i]) for i in safe_range}\n  File \"/tmp/tmpyub1g53u.py\", line 28, in <dictcomp>\n    x = {i: mdl.integer_var(name=f\"x_{i}\", lb=min_police[i], ub=max_police[i]) for i in safe_range}\nKeyError: 0\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpyub1g53u.py\", line 60, in <module>\n    optimize_police_allocation()\n  File \"/tmp/tmpyub1g53u.py\", line 28, in optimize_police_allocation\n    x = {i: mdl.integer_var(name=f\"x_{i}\", lb=min_police[i], ub=max_police[i]) for i in safe_range}\n  File \"/tmp/tmpyub1g53u.py\", line 28, in <dictcomp>\n    x = {i: mdl.integer_var(name=f\"x_{i}\", lb=min_police[i], ub=max_police[i]) for i in safe_range}\nKeyError: 0\n",
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 0.9264876842498779,
    "return_code": 0,
    "stdout": "Read LP format model from file /tmp/tmp5s40rfm0.pyomo.lp\nReading time = 0.00 seconds\nx1: 10 rows, 3 columns, 12 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 10 rows, 3 columns and 12 nonzeros\nModel fingerprint: 0xe9f0e00e\nVariable types: 0 continuous, 3 integer (0 binary)\nCoefficient statistics:\n  Matrix range     [1e+00, 2e+02]\n  Objective range  [5e-02, 1e-01]\n  Bounds range     [0e+00, 0e+00]\n  RHS range        [1e+01, 3e+04]\nPresolve removed 10 rows and 3 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 1: 35 \n\nOptimal solution found (tolerance 1.00e-02)\nBest objective 3.500000000000e+01, best bound 3.500000000000e+01, gap 0.0000%\nOptimal solution found!\nOptimal value: 35.0\n\nPolice officer allocation:\nCounty 1: 50.0 officers\nCounty 2: 100.0 officers\nCounty 3: 150.0 officers\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 35.0,
    "error_message": null,
    "decision_variables": {}
  }
}
