* Migrate from Yarn to pnpm
Switch the package manager to pnpm 11, keeping every resolved
dependency version from yarn.lock.
- Move resolutions to pnpm overrides and Yarn patches to patches/
- Enable supply-chain protection: 3 day minimum release age,
trust policy that blocks provenance downgrades, and dependency
build scripts denied by default
- Declare dependencies that were imported but only available through
Yarn's hoisting: zrender, @lezer/common, zxing-wasm,
@babel/helper-compilation-targets, core-js-compat, @types/geojson
- Look up pinned license overrides in pnpm's node_modules layout
- Update CI, scripts, git hooks, Renovate, and documentation
* Cache the pnpm store with node_modules in CI
Jobs that restore the shared node_modules cache skip the install, so
the pnpm store is empty there. The license file generation runs
`pnpm licenses list`, which reads package metadata from the store and
fails without it.
* Point the demo e2e comment at the real test:e2e:demo script
---------
Co-authored-by: Claude <noreply@anthropic.com>
The chart data modules push a null y value to break the line where an
entity was unavailable. downSampleLineData read it with Number(), and
Number(null) is 0, which is not NaN, so the isNaN guard did not fire.
The marker then competed as a real value of 0 and won its frame's
minimum slot whenever the readings were positive, discarding the
frame's actual minimum and widening the rendered gap.
Keep markers out of the min/max comparisons entirely and hold at most
one per frame in its own slot. It is emitted, after the frame's values,
only when no kept value follows it: a marker followed by a value in its
own frame is a gap that closed within one frame, which is about one
device pixel wide and too narrow to show. That check runs per frame at
emit time, so the per-point path stays as it was. Keeping every marker
instead would blow up the output on series that are mostly null, such
as the climate heating dataset, which went from 823 to 14525 points
before this was bounded.
Skipping markers before the numeric work also makes gapped series
faster: 16% on a series with a few gaps, 27% on one that is mostly
gaps. Both now have benchmark coverage, which the gap path lacked.
Mean mode no longer averages markers in as zero.
* Add deterministic fixtures and characterization tests for chart data processing
* Extract statistics chart data processing into a pure function
* Extract state history line chart data processing into a pure function
* Add benchmark suite for chart data processing
* Add chart data optimization playbook
* Point agent instructions at the chart optimization playbook
Franck NijhofandClaude
Petar Petrov
Paul Bottein