run_simulation

Runs a Python-based solver script (FEniCSx, NGSolve, scikit-fem, DUNE-fem).

Group: Run.

Parameters

Parameter	Type	Required	Default
solver	string	yes
input_content	string	yes
job_name	string	no	''
np	integer	no	1
critic_approved	boolean	no	False
critic_token	string	no	''
verify_pde	string	no	''

What the model reads

The text below is the tool's own description, exactly as the AI model receives it.

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Run a simulation directly with input content.

Use this for Python-based solvers (FEniCS, NGSolve, scikit-fem, DUNE-fem)
where the input IS a Python script. The tool routes through the correct
Python environment automatically (e.g., conda env for FEniCS).

For 4C/deal.II/Kratos where a separate input file must be generated
first, use run_with_generator() instead.

Args:
    solver: Backend name (best for: fenics, ngsolve, skfem, dune)
    input_content: The input content (Python script / YAML / C++ / XML)
    job_name: Optional job name
    np: MPI processes
    critic_approved: recorded, not trusted. The result is verified only
        if a critic review of THIS input_content is on record — call
        submit_critic_review first.
    critic_token: optional token from submit_critic_review; makes the
        review single-use and binds it to this job.
    verify_pde: optional JSON declaring the problem being solved, so
        openPASO can check the result actually SATISFIES it rather than
        merely looking well-formed. Example:
        {"operator": "diffusion",
         "source": "2*pi**2*sin(pi*x)*sin(pi*y)",
         "coefficient": "1.0", "dim": 2, "domain_measure": 1.0}
        `source` and `coefficient` are numeric expressions in x, y, z.
        A field that does not satisfy the declared equations is NOT
        VERIFIED, whatever else the run did. Currently covers scalar
        diffusion on simplex meshes; anything else is reported as not
        checked, never as passed.