Updated the files.

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Batuhan Berk Başoğlu 2024-02-08 19:38:41 -05:00
parent 1553e6b971
commit 753967d4f5
23418 changed files with 3784666 additions and 0 deletions

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my-app/node_modules/hdr-histogram-percentiles-obj/LICENSE generated vendored Executable file
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The MIT License (MIT)
Copyright (c) 2016 Glen Keane
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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my-app/node_modules/hdr-histogram-percentiles-obj/index.js generated vendored Executable file
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'use strict'
const percentiles = module.exports.percentiles = [
0.001,
0.01,
0.1,
1,
2.5,
10,
25,
50,
75,
90,
97.5,
99,
99.9,
99.99,
99.999
]
module.exports.histAsObj = function (hist, total) {
const mean = Math.ceil(getMean(hist) * 100) / 100
const result = {
average: mean, // added for backward compat with wrk
mean: mean,
stddev: Math.ceil(getStdDeviation(hist) * 100) / 100,
min: getMin(hist),
max: getMax(hist)
}
if (typeof total === 'number') {
result.total = total
}
return result
}
module.exports.addPercentiles = function (hist, result) {
percentiles.forEach(function (perc) {
const key = ('p' + perc).replace('.', '_')
if (typeof hist.percentile === 'function') {
result[key] = hist.percentile(perc)
} else if (typeof hist.getValueAtPercentile === 'function') {
result[key] = hist.getValueAtPercentile(perc)
}
})
return result
}
function getMean (hist) {
if (typeof hist.mean === 'function') {
return hist.mean()
}
if (typeof hist.getMean === 'function') {
return hist.getMean()
}
return hist.mean
}
function getMin (hist) {
if (typeof hist.min === 'function') {
return hist.min()
}
return hist.minNonZeroValue
}
function getMax (hist) {
if (typeof hist.max === 'function') {
return hist.max()
}
return hist.maxValue
}
function getStdDeviation (hist) {
if (typeof hist.stddev === 'function') {
return hist.stddev()
}
if (typeof hist.getStdDeviation === 'function') {
return hist.getStdDeviation()
}
return hist.stdDeviation
}

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{
"name": "hdr-histogram-percentiles-obj",
"version": "3.0.0",
"description": "A little lib for turning hdr-histogram-js to objects",
"main": "index.js",
"scripts": {
"test": "standard && tap ./test/*.js"
},
"repository": {
"type": "git",
"url": "git+https://github.com/GlenTiki/hdr-histogram-percentiles-obj.git"
},
"keywords": [
"hdr-histogram",
"hdr-histogram-js",
"percentiles"
],
"author": "Glen Keane <glenkeane.94@gmail.com>",
"license": "MIT",
"bugs": {
"url": "https://github.com/GlenTiki/hdr-histogram-percentiles-obj/issues"
},
"pre-commit": [
"test"
],
"homepage": "https://github.com/GlenTiki/hdr-histogram-percentiles-obj#readme",
"devDependencies": {
"pre-commit": "^1.1.3",
"standard": "^14.0.0",
"tap": "^14.0.0",
"hdr-histogram-js": "^2.0.0"
}
}

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my-app/node_modules/hdr-histogram-percentiles-obj/readme.md generated vendored Executable file
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# hdr-histogram-percentiles-obj
## Install
```
npm install --save hdr-histogram-percentiles-obj
```
## Usage
```js
const histPercentileObj = require('hdr-histogram-percentiles-obj')
const Histogram = require('hdr-histogram-js')
const histogram = hdr.build({
lowestDiscernibleValue: 1,
highestTrackableValue: 100
})
const total = 0
// record some histogram data...
// total++...
const result = histPercentileObj.histAsObj(histogram, total)
const resultWithPercentiles = histPercentileObj.addPercentiles(histogram, histPercentileObj.histAsObj(histogram, total))
histPercentileObj.percentiles.forEach((p) => {
const key = `p${p}`.replace('.', '_')
console.log(`${p}%`, resultWithPercentiles[key])
})
```
## API
hdr-histogram-percentiles-obj has two utility functions to use
### histAsObj(histogram, total)
* `histogram`: A hdr-histogram-js object you want to get some values from in a js object
* `total`: the total amount recorded by the histogram, optional
Returns a json object with the `min`, `max`, `average` (mean) and `stddev`
### addPercentiles(histogram, histAsObjResult)
* `histogram`: A hdr-histogram-js object you want to retrieve the percentiles from
* `histAsObjResult`: the result returned when `histAsObj` is called on some hdr-histogram-js object
Returns the histAsObjResult with the percentiles properties added. Percentile properties are named `pNN_DD`, for the `NN.DD%` percentile. Eg., the 99th percentile is `p99`, while the 99.99th percentile is `p99_99`.
### percentiles
An array listing the percentiles that hdr-histogram-percentiles-obj adds, as numbers.
## Sponsor
Kindly sponsored by [nearForm](www.nearform.com)
## License
[MIT](./LICENSE)

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'use strict'
const test = require('tap').test
const hdr = require('hdr-histogram-js')
const histPercentileObj = require('../')
test('should return a valid hist as object', (t) => {
t.plan(24)
const histogram = hdr.build({
lowestDiscernibleValue: 1,
highestTrackableValue: 100
})
let total = 0
for (let i = 0; i < 10000; i++) {
const num = Math.floor(Math.random() * 100)
histogram.recordValue(num)
total += num
}
// any of the numbers below _could_ be 0, so we do a type test instead of t.ok
const result = histPercentileObj.histAsObj(histogram, total)
t.ok(result)
t.type(result.average, 'number')
t.type(result.mean, 'number')
t.type(result.stddev, 'number')
t.type(result.min, 'number')
t.type(result.max, 'number')
t.type(result.total, 'number')
const withPercentiles = histPercentileObj.addPercentiles(histogram, result)
t.ok(withPercentiles)
t.type(withPercentiles.average, 'number')
t.type(withPercentiles.p0_001, 'number')
t.type(withPercentiles.p0_01, 'number')
t.type(withPercentiles.p0_1, 'number')
t.type(withPercentiles.p1, 'number')
t.type(withPercentiles.p2_5, 'number')
t.type(withPercentiles.p10, 'number')
t.type(withPercentiles.p25, 'number')
t.type(withPercentiles.p50, 'number')
t.type(withPercentiles.p75, 'number')
t.type(withPercentiles.p90, 'number')
t.type(withPercentiles.p97_5, 'number')
t.type(withPercentiles.p99, 'number')
t.type(withPercentiles.p99_9, 'number')
t.type(withPercentiles.p99_99, 'number')
t.type(withPercentiles.p99_999, 'number')
})
test('should return expected numbers', (t) => {
t.plan(18)
const histogram = hdr.build({
lowestDiscernibleValue: 1,
highestTrackableValue: 10
})
histogram.recordValue(4)
histogram.recordValue(5)
histogram.recordValue(6)
// any of the numbers below _could_ be 0, so we do a type test instead of t.ok
const result = histPercentileObj.histAsObj(histogram, 15)
t.ok(result)
t.equal(result.average, 5)
t.equal(result.mean, 5)
t.equal(result.stddev, 0.82)
t.equal(result.min, 4)
t.equal(result.max, 6)
t.equal(result.total, 15)
const withPercentiles = histPercentileObj.addPercentiles(histogram, result)
t.ok(withPercentiles)
t.equal(withPercentiles.average, 5)
t.equal(withPercentiles.p2_5, 4)
t.equal(withPercentiles.p50, 5)
t.equal(withPercentiles.p75, 6)
t.equal(withPercentiles.p90, 6)
t.equal(withPercentiles.p97_5, 6)
t.equal(withPercentiles.p99, 6)
t.equal(withPercentiles.p99_9, 6)
t.equal(withPercentiles.p99_99, 6)
t.equal(withPercentiles.p99_999, 6)
})
test('should return a valid hist as object from a WASM histogram', (t) => {
t.plan(1)
hdr.initWebAssemblySync()
const histogram = hdr.build({
useWebAssembly: true
})
t.ok(histPercentileObj.histAsObj(histogram))
})