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tatami-ng - npm Package Compare versions
Comparing version 0.8.9 to 0.8.10
@@ -1,3 +0,3 @@ | ||
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| 1 ps = 1 picosecond = 1e-12s | ||
@@ -7,4 +7,4 @@ 1 ns = 1 nanosecond = 1'000ps = 1e-9s | ||
| 1 ms = 1 millisecond = 1'000\u03BCs = 1'000'000ns = 1e9ps = 1e-3s | ||
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| //# debugId=0A0926AE2FB0456C64756E2164756E21 | ||
| //# debugId=982089266F68CA4064756E2164756E21 |
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| 1 ps = 1 picosecond = 1e-12s | ||
@@ -6,4 +6,4 @@ 1 ns = 1 nanosecond = 1'000ps = 1e-9s | ||
| 1 ms = 1 millisecond = 1'000\u03BCs = 1'000'000ns = 1e9ps = 1e-3s | ||
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| `))}function J6(H,{size:J,latency:K=!0,throughput:Q=!0,colors:Y=!0,latencyMinMax:X=!0,latencyPercentiles:U=!0}){return`${h(Y,P(Y,`cpu: ${H.cpu}`))}\n${h(Y,P(Y,`runtime: ${H.runtime}`))}\n\n${"benchmark".padEnd(J," ")}${!K?"":"time/iter".padStart(20," ")}${!Q?"":"iters/s".padStart(20," ")}${!X?"":"(min \u2026 max time/iter)".padStart(24," ")}${!U?"":` ${"p50/median".padStart(20," ")} ${"p75".padStart(9," ")} ${"p99".padStart(9," ")} ${"p995".padStart(9," ")}`}`}function K6(H,J={size:r,latency:!0,throughput:!0,colors:!0,latencyMinMax:!0,latencyPercentiles:!0}){if(H.startsWith(g))H=w6(J.colors,"unnamed");return`\u2022 ${C(J.colors,H)}\n${h(J.colors,P(J.colors,p(J)))}`}function Q6(H,J,{size:K,latency:Q=!0,throughput:Y=!0,colors:X=!0,latencyMixMax:U=!0,latencyPercentiles:G=!0}){return`${H.padEnd(K," ")}${!Q?"":`${q(X,L(J.latency.avg))} \xB1 ${(J.latency.rmoe>y?I:c)(X,u(J.latency.rmoe))}`.padStart(20+20*X," ")}${!Y?"":`${q(X,m(J.throughput.avg))} \xB1 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U.before.call(this):U.before.call(this),Q=await A6(R.filter((G)=>G.group===X),J,H,U),z(U.after)?await U.after.call(this):U.after.call(this)}if(K=W(H.reporter)?H.reporter(K):K,!H.json&&H.units)J(H6(H));if(H.json||H.file){let X=JSON.stringify(K,void 0,typeof H.json!=="number"?0:H.json);if(H.json)J(X);if(H.file)D6(H.file,X)}let Y=JSON.parse(JSON.stringify(K));return r6(),Y}var Y6=(H)=>{return H.benchmarks.filter((J)=>J.error==null).map(({name:J,stats:K})=>{return{[J]:{latency:{value:K?.latency?.avg,lower_value:K?.latency?.avg-K?.latency?.sd,upper_value:K?.latency?.avg+K?.latency?.sd},throughput:{value:K?.throughput?.avg,lower_value:K?.throughput?.avg-K?.throughput?.sd,upper_value:K?.throughput?.avg+K?.throughput?.sd}}}}).reduce((J,K)=>Object.assign(J,K),{})}; | ||
| //# debugId=0AE515F52113B3DB64756E2164756E21 | ||
| //# debugId=ABD7D8EFE705412D64756E2164756E21 |
@@ -6,3 +6,3 @@ { | ||
| "license": "MIT", | ||
| "version": "0.8.9", | ||
| "version": "0.8.10", | ||
| "packageManager": "bun@1.1.31", | ||
@@ -9,0 +9,0 @@ "bin": { |
@@ -96,3 +96,3 @@ <h1 align=center>tatami-ng</h1> | ||
| ... | ||
| } from 'https://cdn.jsdelivr.net/npm/tatami-ng@0.8.9/dist/browser/index.js' | ||
| } from 'https://cdn.jsdelivr.net/npm/tatami-ng@0.8.10/dist/browser/index.js' | ||
| </script> | ||
@@ -99,0 +99,0 @@ ``` |
@@ -313,10 +313,2 @@ import { spawnSync as nodeSpawnSync } from 'node:child_process' | ||
| latencySamples.sort((a, b) => a - b) | ||
| const latencyAvg = average(latencySamples) | ||
| const latencyVr = variance(latencySamples, latencyAvg) | ||
| const latencySd = Math.sqrt(latencyVr) | ||
| const latencySem = latencySd / Math.sqrt(latencySamples.length) | ||
| const latencyCritical = | ||
| tTable[(latencySamples.length - 1 || 1).toString()] || tTable.infinity | ||
| const latencyMoe = latencySem * latencyCritical | ||
| const latencyRmoe = (latencyMoe / checkDividend(latencyAvg)) * 100 | ||
@@ -329,10 +321,2 @@ // Throughput | ||
| .sort((a, b) => a - b) | ||
| const throughputAvg = average(throughputSamples) | ||
| const throughputVr = variance(throughputSamples, throughputAvg) | ||
| const throughputSd = Math.sqrt(throughputVr) | ||
| const throughputSem = throughputSd / Math.sqrt(throughputSamples.length) | ||
| const throughputCritical = | ||
| tTable[(throughputSamples.length - 1 || 1).toString()] || tTable.infinity | ||
| const throughputMoe = throughputSem * throughputCritical | ||
| const throughputRmoe = (throughputMoe / checkDividend(throughputAvg)) * 100 | ||
@@ -342,33 +326,33 @@ return { | ||
| ss: latencySamples.length >= minimumSamples, | ||
| latency: { | ||
| min: latencySamples[0], | ||
| max: latencySamples[latencySamples.length - 1], | ||
| p50: medianSorted(latencySamples), | ||
| p75: quantileSorted(latencySamples, 0.75), | ||
| p99: quantileSorted(latencySamples, 0.99), | ||
| p995: quantileSorted(latencySamples, 0.995), | ||
| avg: latencyAvg, | ||
| vr: latencyVr, | ||
| sd: latencySd, | ||
| moe: latencyMoe, | ||
| rmoe: latencyRmoe, | ||
| aad: absoluteDeviation(latencySamples, average), | ||
| mad: absoluteDeviation(latencySamples, medianSorted), | ||
| }, | ||
| throughput: { | ||
| min: throughputSamples[0], | ||
| max: throughputSamples[latencySamples.length - 1], | ||
| p50: medianSorted(throughputSamples), | ||
| p75: quantileSorted(throughputSamples, 0.75), | ||
| p99: quantileSorted(throughputSamples, 0.99), | ||
| p995: quantileSorted(throughputSamples, 0.995), | ||
| avg: throughputAvg, | ||
| vr: throughputVr, | ||
| sd: throughputSd, | ||
| moe: throughputMoe, | ||
| rmoe: throughputRmoe, | ||
| aad: absoluteDeviation(throughputSamples, average), | ||
| mad: absoluteDeviation(throughputSamples, medianSorted), | ||
| }, | ||
| latency: getStatsSorted(latencySamples), | ||
| throughput: getStatsSorted(throughputSamples), | ||
| } | ||
| } | ||
| const getStatsSorted = samples => { | ||
| const avg = average(samples) | ||
| const vr = variance(samples, avg) | ||
| const sd = Math.sqrt(vr) | ||
| const sem = sd / Math.sqrt(samples.length) | ||
| const df = samples.length - 1 | ||
| const critical = tTable[(df || 1).toString()] || tTable.infinity | ||
| const moe = sem * critical | ||
| const rmoe = (moe / checkDividend(avg)) * 100 | ||
| const p50 = medianSorted(samples) | ||
| return { | ||
| min: samples[0], | ||
| max: samples[df], | ||
| p50, | ||
| p75: quantileSorted(samples, 0.75), | ||
| p99: quantileSorted(samples, 0.99), | ||
| p995: quantileSorted(samples, 0.995), | ||
| avg, | ||
| vr, | ||
| sd, | ||
| moe, | ||
| rmoe, | ||
| aad: absoluteDeviation(samples, average, avg), | ||
| mad: absoluteDeviation(samples, medianSorted, p50), | ||
| } | ||
| } |
@@ -50,8 +50,11 @@ import { checkDividend } from './utils.js' | ||
| export const absoluteDeviation = (samples, aggFn) => { | ||
| const value = aggFn(samples) | ||
| export const absoluteDeviation = ( | ||
| samples, | ||
| aggFn, | ||
| aggValue = aggFn(samples) | ||
| ) => { | ||
| const absoluteDeviations = [] | ||
| for (const sample of samples) { | ||
| absoluteDeviations.push(Math.abs(sample - value)) | ||
| absoluteDeviations.push(Math.abs(sample - aggValue)) | ||
| } | ||
@@ -58,0 +61,0 @@ |
Sorry, the diff of this file is not supported yet
Sorry, the diff of this file is not supported yet
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Found 1 instance in 1 package
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Worsened metrics
- Total package byte prevSize
- decreased by-1.23%
388638
- Lines of code
- decreased by-0.6%
2963
No dependency changes