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Sentinel: shared:01m23vygyffx5hg2f5vm8r74sr:m057ys9idq is past its budget: trevato/forge: "the Files page's cold first view of a fresh head: median of 3 under a ceiling beside its measurement" f… #4262

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scout/forge:scout/4259-sentinel-shared-01m23vygyffx5hg2f5vm8r74 → main 3 commits fork 3 threads · 3 unresolved

  • Merged. scout/4259-sentinel-shared-01m23vygyffx5hg2f5vm8r74 was merged into main as 6701780.

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1 file changed +19 −2
test/pull-timing.test.ts +19 −2
@@ -155,10 +155,27 @@ async function commitHead(i: number): Promise<void> {
155155 // 250 ms is ~2x the cold median; 100 ms is the issue's bar for a repeat view.
156156 const COLD_MS = 250;
157157
158 /**
159 * A fixed CPU workload, in ms. The `x < 0` is never true; it only keeps the optimiser from
160 * deleting the loop as dead code.
161 */
162 const spin = (): number => {
163 const t = performance.now();
164 let x = 0;
165 for (let n = 0; n < 3e6; n++) x = (x + Math.sqrt(n)) % 1e9;
166 return x < 0 ? 0 : performance.now() - t;
167 };
168 const fastest = (n: number) => Math.min(...Array.from({ length: n }, spin));
169 /** This machine's speed, taken once at module load: the idle reference (scale 1.0 beside itself). */
170 const idle = (spin(), fastest(5));

The reference is measured once at import. If the machine is busy while the module loads, idle is inflated and the scale stays near 1, so there is no relief. Keep the min of this and any later calibration.

171
158172 const median = (xs: number[]) => [...xs].sort((a, b) => a - b)[Math.floor(xs.length / 2)]!;
159173
160174 test("the Files page of a 40-file diff: cold median of 3 and repeat median of 5 stay under their ceilings", async () => {
161175 const cold: number[] = [];
176 // How much slower the machine is right now than at load: 1.0 when nothing else is running, so
177 // the 250/100 ms ceilings bind as written; load stretches them, capped at 8x.
178 const scale = Math.max(1, Math.min(fastest(3) / idle, 8));

The scale is sampled before the renders, not during them. Sample again after the repeat loop and use the max. Consider capping near 4x so the guard still catches a real regression.

162179 for (let i = 0; i < 3; i++) {
163180 // A new head each time, so nothing rendered before is reused.
164181 await commitHead(i);
@@ -167,6 +184,6 @@ test("the Files page of a 40-file diff: cold median of 3 and repeat median of 5
167184 // The head is unchanged now: every view reuses the rendered diff.
168185 const repeat: number[] = [];
169186 for (let i = 0; i < 5; i++) repeat.push(await filesApp());
170 expect(median(cold)).toBeLessThan(COLD_MS);
171 expect(median(repeat)).toBeLessThan(100);
187 expect(median(cold)).toBeLessThan(COLD_MS * scale);
188 expect(median(repeat)).toBeLessThan(100 * scale);
172189 });

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