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"id": "single-software-execution--cli--fenics--task-06--ubuntu",
"snapshot": "FEniCS",
"instruction": "Treat a legacy FEniCS/DOLFIN nonlinear Poisson-equation template `/home/user/Desktop/nonlinear_base.py` as the starting point. Run with the legacy `dolfin` API used by the template (for example, FEniCS/DOLFIN 2019.1.0), not DOLFINx. On this machine, run legacy FEniCS with `/home/user/miniconda3/bin/conda run --no-capture-output --prefix /home/user/miniconda3/envs/fenics-legacy python` when working on `nonlinear_base.py`.\n\nComplete the following: 1. Modify and generate `/home/user/Desktop/nonlinear.py`: - Define nonlinear residual: `F = (1 + u**2)*inner(grad(u), grad(v))*dx - f*v*dx`, with `f=Constant(1.0)` - Define its Jacobian with `J = derivative(F, u, du)`, where `du = TrialFunction(V)`, and use `NonlinearVariationalProblem(F, u, bc, J)` - Set: `solver.parameters['newton_solver']['relative_tolerance'] = 1e-6` - Solve 2. Extract the value at center `(0.5, 0.5)` and the global maximum; for this symmetric mesh the center is the maximum up to numerical tolerance - Save to `/home/user/Desktop/summary.txt` in this format: `center_value, max_value`",
"source": "https://olddocs.fenicsproject.org/dolfin/2019.1.0/python/",
"config": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-06/init_file/nonlinear_base.py",
"path": "/home/user/Desktop/nonlinear_base.py"
}
]
}
}
],
"trajectory": "trajectories/",
"related_apps": [
"fenics"
],
"artifact_paths": [
"/home/user/Desktop/nonlinear.py",
"/home/user/Desktop/summary.txt"
],
"evaluator": {
"postconfig": [
{
"type": "upload_file",
"parameters": {
"files": [
{
"local_path": "task-06/eval.py",
"path": "/home/user/Desktop/eval.py"
}
]
}
}
],
"func": "exact_match",
"result": {
"type": "vm_command_line",
"command": "/home/user/miniconda3/bin/conda run --no-capture-output --prefix /home/user/miniconda3/envs/fenics-legacy /home/user/miniconda3/envs/fenics-legacy/bin/python /home/user/Desktop/eval.py",
"shell": "true"
},
"expected": {
"type": "rule",
"rules": {
"expected": "True\n"
}
}
},
"proxy": false,
"fixed_ip": false,
"possibility_of_env_change": "low"
}
|