Iteration final - SOLVER_EXECUTION
Sequence: 6
Timestamp: 2025-07-25 22:33:45

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

Response:
{
  "gurobipy": {
    "solver_type": "gurobipy",
    "execution_time": 0.15865731239318848,
    "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 18 rows, 9 columns and 36 nonzeros\nModel fingerprint: 0x03492fa8\nCoefficient statistics:\n  Matrix range     [8e-01, 1e+00]\n  Objective range  [1e+02, 2e+02]\n  Bounds range     [8e+00, 6e+01]\n  RHS range        [5e+00, 5e+00]\nPresolve removed 18 rows and 9 columns\nPresolve time: 0.00s\nPresolve: All rows and columns removed\nIteration    Objective       Primal Inf.    Dual Inf.      Time\n       0    6.6750000e+04   0.000000e+00   0.000000e+00      0s\n\nSolved in 0 iterations and 0.00 seconds (0.00 work units)\nOptimal objective  6.675000000e+04\nOptimal value: 66750.0\nProduct 1:\n  USD Price: 50.00\n  EUR Price: 45.00\n  GBP Price: 40.00\nProduct 2:\n  USD Price: 55.00\n  EUR Price: 50.00\n  GBP Price: 45.00\nProduct 3:\n  USD Price: 60.00\n  EUR Price: 55.00\n  GBP Price: 50.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 66750.0,
    "error_message": null,
    "decision_variables": {}
  },
  "docplex": {
    "solver_type": "docplex",
    "execution_time": 1.1974895000457764,
    "return_code": 0,
    "stdout": "Optimal value: 66750.0\nProduct 1:\n  USD Price: 50.00\n  EUR Price: 45.00\n  GBP Price: 40.00\nProduct 2:\n  USD Price: 55.00\n  EUR Price: 50.00\n  GBP Price: 45.00\nProduct 3:\n  USD Price: 60.00\n  EUR Price: 55.00\n  GBP Price: 50.00\n",
    "stderr": "",
    "status": "optimal",
    "optimal_value": 66750.0,
    "error_message": null,
    "decision_variables": {}
  },
  "pyomo": {
    "solver_type": "pyomo",
    "execution_time": 1.0441560745239258,
    "return_code": 1,
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/tmp/tmpa9_ily2r.py\", line 121, in <module>\n    product_pricing_optimization()\n  File \"/tmp/tmpa9_ily2r.py\", line 95, in product_pricing_optimization\n    results = solver.solve(model, tee=True)  # tee=True shows solver output\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 598, in solve\n    self._presolve(*args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/GUROBI.py\", line 280, in _presolve\n    ILMLicensedSystemCallSolver._presolve(self, *args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py\", line 223, in _presolve\n    OptSolver._presolve(self, *args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 704, in _presolve\n    self._convert_problem(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 756, in _convert_problem\n    return convert_problem(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/convert.py\", line 97, in convert_problem\n    problem_files, symbol_map = converter.apply(*tmp, **tmpkw)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/solvers/plugins/converter/model.py\", line 78, in apply\n    (problem_filename, symbol_map_id) = instance.write(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 1987, in write\n    (filename, smap) = problem_writer(self, filename, solver_capability, io_options)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 209, in __call__\n    info = self.write(model, FILE, **io_options)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 242, in write\n    return _LPWriter_impl(ostream, config).write(model)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 426, in write\n    raise ValueError(\nValueError: Model constraint (currency_diff_usd_eur[1]) contains nonlinear terms that cannot be written to LP format\n",
    "status": "error",
    "optimal_value": null,
    "error_message": "Traceback (most recent call last):\n  File \"/tmp/tmpa9_ily2r.py\", line 121, in <module>\n    product_pricing_optimization()\n  File \"/tmp/tmpa9_ily2r.py\", line 95, in product_pricing_optimization\n    results = solver.solve(model, tee=True)  # tee=True shows solver output\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 598, in solve\n    self._presolve(*args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/solvers/plugins/solvers/GUROBI.py\", line 280, in _presolve\n    ILMLicensedSystemCallSolver._presolve(self, *args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/solver/shellcmd.py\", line 223, in _presolve\n    OptSolver._presolve(self, *args, **kwds)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 704, in _presolve\n    self._convert_problem(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/solvers.py\", line 756, in _convert_problem\n    return convert_problem(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/opt/base/convert.py\", line 97, in convert_problem\n    problem_files, symbol_map = converter.apply(*tmp, **tmpkw)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/solvers/plugins/converter/model.py\", line 78, in apply\n    (problem_filename, symbol_map_id) = instance.write(\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/core/base/block.py\", line 1987, in write\n    (filename, smap) = problem_writer(self, filename, solver_capability, io_options)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 209, in __call__\n    info = self.write(model, FILE, **io_options)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 242, in write\n    return _LPWriter_impl(ostream, config).write(model)\n  File \"/dccstor/nl2opt/miniforge3/envs/nl2opt_optim/lib/python3.10/site-packages/pyomo/repn/plugins/lp_writer.py\", line 426, in write\n    raise ValueError(\nValueError: Model constraint (currency_diff_usd_eur[1]) contains nonlinear terms that cannot be written to LP format\n",
    "decision_variables": {}
  }
}
