--- name: fluidsim description: Plan, configure, inspect, restart, and analyze bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility. license: MIT compatibility: Bundled CLIs require Python 3.11+ and use the standard library; HDF5/netCDF4 metadata tools lazily use h5py when available. Simulation examples target fluidsim 0.9.0, fluidfft 0.4.5, and pyFFTW 0.15.1. MPI/native FFT use requires a site-compatible MPI implementation, development headers, FFTW/PFFT/P3DFFT libraries, compilers, and an approved scheduler workflow. No GPU backend is assumed. allowed-tools: Read Write Bash Glob Python metadata: version: "1.1" skill-author: "K-Dense Inc." last-reviewed: "2026-07-23" --- # FluidSim Use FluidSim 0.9.0 as a framework for Python-defined numerical solvers, especially periodic Cartesian pseudospectral CFD. Upstream FluidSim is CeCILL-2.1; the MIT frontmatter license applies only to this skill. This skill does **not** treat a completed run, a stable time step, a smooth plot, or a closed program exit as evidence of numerical convergence or physical validity. ## Required workflow 1. State equations, units or nondimensionalization, geometry, boundaries, initial conditions, forcing, observables, and acceptance criteria. 2. Select a verified solver and inspect its generated default parameters. 3. Create a strict JSON plan with explicit CPU, RAM, disk, wall-time, output-file, timestep, CFL, resolution, and dealiasing bounds. 4. Run the bundled validator and resource estimator. 5. Generate and review a dry-run script. It does nothing unless executed with an explicit config-ID acknowledgement. 6. Run one tiny serial pilot. Inspect budgets, divergence/constraints, spectral tails, CFL/time-step history, and output growth. 7. Refine grid and time step independently. Check conservation/budget residuals and observable sensitivity. 8. Only then prepare a site-specific MPI job. Never submit or launch MPI automatically. 9. Preserve config, script, `uv.lock`, package/platform/backend versions, logs, output inventory, checksums, and restart lineage. Stop if physical assumptions, units, boundary conditions, forcing semantics, resolution criteria, resource limits, or acceptance criteria are missing. ## Version and installation As verified on 2026-07-23: - Latest stable PyPI release: `fluidsim==0.9.0` (2025-12-04). - Package metadata requires Python `>=3.11` and lists Python 3.11–3.14. - Pseudospectral parameter creation needs FluidFFT; bare `fluidsim` imported in the smoke test, but `ns2d.create_default_params()` failed until the `fft` extra was installed. - Current companion versions tested here: `fluidfft==0.4.5` and `pyFFTW==0.15.1`. Prefer a project lock: ```bash uv init --python 3.11 uv add "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1" uv lock uv sync --frozen ``` For an isolated disposable environment: ```bash uv venv --python 3.11 uv pip install "fluidsim[fft]==0.9.0" "fluidfft==0.4.5" "pyFFTW==0.15.1" ``` The project lock is the reproducibility record; direct pins alone do not freeze all transitive artifacts. Do not reuse a lock across incompatible platforms or MPI ABIs. MPI is optional and native: ```bash uv add "mpi4py==4.1.2" "fluidfft-mpi-with-fftw==0.0.1" "fluidfft-fftwmpi==0.0.1" uv lock ``` Those packages still require a compatible MPI runtime and FFTW development libraries. The optional native plugins are: - `fluidfft-fftw==0.0.1`: sequential `fft2d.with_fftw1d`, `fft2d.with_fftw2d`, `fft3d.with_fftw3d`. - `fluidfft-mpi-with-fftw==0.0.1`: MPI `fft2d.mpi_with_fftw1d`, `fft3d.mpi_with_fftw1d`. - `fluidfft-fftwmpi==0.0.1`: MPI-enabled FFTW `fft2d.mpi_with_fftwmpi2d`, `fft3d.mpi_with_fftwmpi3d`. - `fluidfft-p3dfft==0.0.1`: `fft3d.mpi_with_p3dfft`; requires P3DFFT. - FluidFFT also declares PFFT and P3DFFT extras; audit and pin their native stacks for the target cluster. FluidFFT documents cuFFT historically, but FluidFFT 0.4.5 declares no CUDA extra or installed GPU plugin in its package metadata, and its CUDA installation page is unfinished. Do not claim GPU acceleration or install an unrelated CUDA wheel as a FluidSim backend. Treat GPU work as source-level experimental integration requiring separate validation. See [installation](references/installation.md) for system dependencies, MPI ABI, HDF5-MPI, backend discovery, and verification. ## API snapshot Use direct, versioned imports: ```python from fluidsim.solvers.ns2d.solver import Simul params = Simul.create_default_params() params.oper.nx = params.oper.ny = 32 params.oper.Lx = params.oper.Ly = 2 * 3.141592653589793 params.oper.coef_dealiasing = 2 / 3 params.time_stepping.USE_CFL = True params.time_stepping.cfl_coef = 0.5 params.time_stepping.deltat0 = 0.001 params.time_stepping.deltat_max = 0.01 params.time_stepping.t_end = 0.1 params.time_stepping.max_elapsed = "00:05:00" params.init_fields.type = "noise" params.init_fields.noise.velo_max = 0.01 params.output.HAS_TO_SAVE = False params.output.ONLINE_PLOT_OK = False ``` Important 0.9 corrections: - CFL field: `params.time_stepping.cfl_coef`, not `CFL`. - Time-correlated forcing: `params.forcing.tcrandom.time_correlation`, not a flat `tcrandom_time_correlation`. - NS2D default initial types include `constant`, `noise`, `jet`, `dipole`, `from_file`, `from_simul`, and `in_script`; do not invent a universal list for every solver. - Output state files default to `state_phys_t*.nc`; spectra use `spectra1D.h5`/`spectra2D.h5`; scalar means are solver-dependent `spatial_means.txt` or JSON-lines. - `params.output.sub_directory` is relative under `FLUIDSIM_PATH`. `ParamContainer` rejects undeclared attributes. Always generate defaults from the selected `Simul` class and inspect them before changing values. See [parameters](references/parameters.md). ## Solvers Primary Cartesian CFD keys and imports: ```python from fluidsim.solvers.ns2d.solver import Simul # ns2d from fluidsim.solvers.ns2d.bouss.solver import Simul # ns2d.bouss from fluidsim.solvers.ns2d.strat.solver import Simul # ns2d.strat from fluidsim.solvers.ns3d.solver import Simul # ns3d from fluidsim.solvers.ns3d.bouss.solver import Simul # ns3d.bouss from fluidsim.solvers.ns3d.strat.solver import Simul # ns3d.strat ``` The 0.9 registry also includes `plate2d`, `sw1l` variants, `waves2d`, 1D models, 0D models, spherical solvers, and framework adapters. Availability in the registry does not make a solver appropriate for a scientific question. Verify equations, variables, geometry, boundaries, and diagnostics in the solver source. See [solvers](references/solvers.md). ## Forcing and time advancement Forcing is solver-specific. A current normalized random example is: ```python params.forcing.enable = True params.forcing.type = "tcrandom" params.forcing.forcing_rate = 1.0 params.forcing.nkmin_forcing = 4 params.forcing.nkmax_forcing = 5 params.forcing.tcrandom.time_correlation = "based_on_forcing_rate" ``` Record the forced variable, normalization definition, wave-number band, random seed/state, injection target, and measured injection. FluidSim 0.9 saves state parameters for restart; 0.8.6 fixed time-correlated forcing restart behavior. Available pseudospectral schemes include Euler/RK2 phase-shift variants, `RK2_trapezoid`, and `RK4`. A named order does not establish accuracy. Check CFL, fast-wave/diffusive limits, `deltat_max`, and time-step refinement. See [advanced features](references/advanced_features.md). ## Outputs, loading, and restart For read-only analysis: ```python from fluidsim import load_sim_for_plot sim = load_sim_for_plot("run-directory", hide_stdout=True) sim.output.spatial_means.plot() sim.output.spectra.plot1d() sim.output.phys_fields.plot(time=1.0) ``` `load_sim_for_plot` uses a coarse operator and disables saving/online plotting. For a state-bearing object: ```python from fluidsim import load_state_phys_file sim = load_state_phys_file("run-directory", t_approx="last") ``` For a controlled restart, prefer `load_for_restart` or first run `fluidsim-restart --only-check`. Do not use `--modify-params` with untrusted text: the upstream CLI executes Python code supplied to that option. This skill's generator never emits it. Verify solver, grid/domain, state variables, versions, forcing state, checksum, target time, output destination, and resource bounds. Resolution changes require the dedicated reviewed workflow, not a silent grid edit. See [simulation workflow](references/simulation_workflow.md) and [output analysis](references/output_analysis.md). ## Scientific acceptance gate Before interpreting results, require: - Explicit dimensional units or a complete nondimensionalization map. - Correct equations, periodic geometry/boundaries, initial state, forcing, and diagnostic definitions. - Resolution and dealiasing evidence: spectra/tails, resolved gradients, and solver-appropriate small-scale criteria. - Timestep evidence: CFL history, fastest-wave and dissipative limits, and smaller-step comparison. - Conservation and budget checks including forcing, dissipation, transfers, and residuals. - Grid/time refinement with uncertainty or sensitivity for reported observables. - Comparison to an analytical solution, manufactured solution, benchmark, or independently reproduced result where appropriate. - Complete provenance and restart lineage. Never label a run “DNS,” “converged,” “validated,” “steady,” or “physically correct” from parameter values or plots alone. ## Bundled local tools All tools emit strict JSON, reject URLs/traversal/symlinks, enforce hard bounds, use no network or subprocess, and never launch a simulation: ```bash python3 scripts/solver_config_validator.py --example python3 scripts/solver_config_validator.py --config config.json python3 scripts/grid_resource_estimator.py --config config.json python3 scripts/simulation_dry_run.py --config config.json --output run.py python3 scripts/output_inventory.py --path run-directory python3 scripts/budget_summary.py --path run-directory python3 scripts/restart_compatibility.py --source state.nc --target-config config.json ``` The HDF5 tools lazily require `h5py`, inspect bounded metadata/hyperslabs, and never follow external links or load full field arrays. ## References - [Installation and FFT/MPI backends](references/installation.md) - [Solver registry and selection](references/solvers.md) - [Simulation, pilot, and restart workflow](references/simulation_workflow.md) - [Verified parameter surface](references/parameters.md) - [Output, plotting, and budget analysis](references/output_analysis.md) - [Forcing, operators, MPI, and migrations](references/advanced_features.md) ## Dated upstream basis Verified 2026-07-23 against [PyPI 0.9.0](https://pypi.org/project/fluidsim/), [FluidSim 0.9 docs](https://fluidsim.readthedocs.io/en/latest/), [release notes](https://fluidsim.readthedocs.io/en/latest/changes.html), [official source mirror](https://github.com/fluiddyn/fluidsim), [FluidFFT 0.4.5 docs](https://fluidfft.readthedocs.io/en/latest/), and the primary FluidSim ([DOI 10.5334/jors.239](https://doi.org/10.5334/jors.239)) and FluidFFT ([DOI 10.5334/jors.238](https://doi.org/10.5334/jors.238)) papers. API claims use official docs/source; method/performance claims in the references are scoped to the cited primary papers and their benchmark setups.