CLAUDE.md#

Tips for future agents working in this repo.

Architecture#

matlab/            the MATLAB project each solve runs standalone
  main.m           `mip load --install surfacefun` -> jsondecode params.json
                   -> solve_pde('mesh.msh', params) -> write result.json
  solve_pde.m      surfacemesh.import -> resample -> surfaceop -> per-patch data
src/mesh/          Pyodide + meshio upload pipeline (bridge.py runs in Pyodide)
src/engine/        run-per-solve wrapper over numbl/browser's
                   createNumblSession: solve() boots a fresh session with
                   mesh.msh + params.json staged, reads result.json back via
                   session.readFile, and disposes the worker. numbl owns the
                   worker, VFS, mip bootstrap, and IndexedDB package
                   persistence; prewarm() at page load triggers the one-time
                   package download.
src/pde/presets.ts PDE definitions, presets, size limits
src/render/        three.js SurfaceView (mesh preview / solution) + parula
scripts/engine-test.mjs  headless Node check of the whole MATLAB pipeline

Key gotchas#

• numbl >= 0.4.11 from npm. Needs NumblSession.readFile (0.4.10) plus enumeration-class support and the 1×1-tensor broadcast-assignment fix (0.4.11 — surfacefun's surfacemesh.patchtype / dealm idiom depend on both). To develop against a local numbl checkout, point package.json at file:../../numbl and run npm run build:lib && npm run build:browser there after source changes; when switching back to a ^ range, rm -rf node_modules package-lock.json && npm install (else npm ci fails on the stale file: link).
• surfacemesh.import needs MSH 4.1. surfacefun's gmsh reader (+surfacemesh/+import/gmsh.m) parses MSH 4.1 node-entity blocks, not 2.2. src/mesh/bridge.py and scripts/make_samples.py both write the canonical 4.1 form (one surface entity block, sequential 1-based ids, type-3 quads). Uploaded .msh files in other layouts pass through meshio and get rewritten to 4.1.
• Solve errors reject the solve() promise with the MATLAB error message (a failed script run is a numbl bootError). Each solve is a fresh session, so nothing needs to stay alive across failures.
• jsonencode collapses 1-element vectors to scalars. Patch arrays are (p+1)^2 >= 9 long so it never bites here, but remember it when adding payload fields.
• Package caching: numbl/browser persists /system (mip + installed packages) in IndexedDB, wiped after 30 min of inactivity (numbl's default; lowered from 24 h so a rebuilt surfacefun package refreshes without a manual clear) — the prewarm session at page load re-downloads ~28 MB after a wipe; solves after that only pay a per-run mip load (~1 s). Delete the numbl-embed-system IndexedDB database to force a cold boot.

Testing#

• npm run engine-test — full headless solve in Node against the local numbl build (dist-lib), including a quantitative eigenfunction check. It runs matlab/main.m standalone per solve (as the browser does), sharing one VFS across solves as the stand-in for IndexedDB persistence, and passes the mip search path explicitly, exercising the same searchPaths-scan behavior the numbl/browser session relies on. Downloads are cached in .cache/ keyed by URL; delete the cache to test fresh installs.
• python3 <venv>/bin/python with meshio 5.3.5 can exercise src/mesh/bridge.py outside Pyodide (redirect its /work constant).
• Browser verification (Pyodide upload path, session boot, IndexedDB persistence across reloads, 3D view) is manual: npm run dev.