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Matches the Phase 1 design_system pattern the brief points at: own lint config, own tests, own coverage gate enforced in CI. The lint script was declared but unrunnable -- there was no eslint flat config, and the build tsconfig excludes tests (correctly; they must not ship in dist/), so type-aware linting had no project for them. Adds eslint.config.js and a lint-only tsconfig that widens the include without emitting. Running it surfaced one real defect: nth() interpolated a number into a template literal without String(), which the consumers' configs would have flagged. The gate also checks that the committed dist/ matches a fresh build. This is not theoretical -- the check caught the stale dist/ produced by that very String() fix on its first run. A stale dist/ in a tag ships old code to every consumer with no error anywhere, which is the one failure mode this packaging choice introduces. dist/ is excluded from the whitespace hooks: they would "fix" generated output that the next build immediately reverts. CI additionally re-runs the categorical ramp's constraint proof, so the palette cannot regress silently either. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01U4Rj3s7K2qzrLNgJqqPhno
80 lines
2.9 KiB
JavaScript
80 lines
2.9 KiB
JavaScript
/**
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* Distribution-aware slider maths.
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*
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* A linear min..max track is useless on skewed data, which is the normal case
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* in both consumers: dufs-cloud's file sizes span bytes to gigabytes, and
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* awesome-mcp-explorer's star counts run 0..166,785 with a median of 8, so a
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* linear midpoint sits above 99.9% of all rows. Mapping the track through the
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* actual distribution puts the middle of the track at the median, which makes
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* equal track distance mean roughly equal numbers of items.
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*
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* This was duplicated in dufs-cloud and awesome-mcp-explorer before it moved
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* here; both now import it.
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*/
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/**
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* Bounds-checked array access (callers guarantee the index is valid). Keeps the
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* quantile helpers free of scattered non-null assertions or dead undefined
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* guards while still satisfying `noUncheckedIndexedAccess`.
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*/
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export function nth(values, index) {
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const value = values[index];
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if (value === undefined) {
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throw new RangeError(`index ${String(index)} out of range`);
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}
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return value;
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}
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/** Clamp to the unit interval. */
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export function clamp01(x) {
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return Math.min(1, Math.max(0, x));
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}
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/**
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* The value at quantile `f` (0..1) of an ascending, non-empty array, with linear
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* interpolation between the two straddling samples. This is what makes the
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* sliders distribution-aware: f = 0.5 returns the *median*, so the middle of the
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* track sits where half the items are — not the arithmetic midpoint of the
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* range. Empty input yields 0 (callers hide the slider in that case).
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*/
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export function quantileValue(sorted, f) {
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const n = sorted.length;
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if (n === 0)
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return 0;
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const pos = clamp01(f) * (n - 1);
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const lo = Math.floor(pos);
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const hi = Math.ceil(pos);
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const a = nth(sorted, lo);
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const b = nth(sorted, hi);
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return Math.round(a + (b - a) * (pos - lo));
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}
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/**
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* The quantile (0..1) of `value` within `sorted` — the inverse of
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* {@link quantileValue}, used to place a thumb at the right spot on the track.
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* Values at or beyond the ends map to 0/1.
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*/
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export function valueQuantile(sorted, value) {
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const n = sorted.length;
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if (n <= 1)
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return 0;
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if (value <= nth(sorted, 0))
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return 0;
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if (value >= nth(sorted, n - 1))
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return 1;
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// value strictly inside the range, so there is an index hi >= 1 with
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// sorted[hi] >= value and sorted[hi - 1] < value.
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const hi = sorted.findIndex((v) => v >= value);
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const lo = hi - 1;
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const a = nth(sorted, lo);
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const b = nth(sorted, hi);
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// a < value <= b here, so b - a > 0 (no divide-by-zero).
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return (lo + (value - a) / (b - a)) / (n - 1);
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}
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/**
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* Pointer x to a 0..1 fraction of a track.
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*
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* Extracted as pure geometry so slider behaviour is testable without layout,
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* which jsdom does not implement.
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*/
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export function fractionFromPointer(rect, clientX) {
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return rect.width === 0 ? 0 : clamp01((clientX - rect.left) / rect.width);
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}
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//# sourceMappingURL=quantile.js.map
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