X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=tests%2Futils.test.js;h=c00f0307d45b257da730c3cb55f72ba96f15789c;hb=98446b391031d7add0e0d7f7e310e25a014370e2;hp=0bf5e50ca8a4989099500100ff2b097a96092713;hpb=d33d2d2fed43d102479c38cc28b496872665a90d;p=poolifier.git

diff --git a/tests/utils.test.js b/tests/utils.test.js
index 0bf5e50c..c00f0307 100644
--- a/tests/utils.test.js
+++ b/tests/utils.test.js
@@ -1,18 +1,57 @@
+const { randomInt } = require('crypto')
 const { expect } = require('expect')
+const {
+  CircularArray,
+  DEFAULT_CIRCULAR_ARRAY_SIZE
+} = require('../lib/circular-array')
 const {
   availableParallelism,
+  average,
+  exponentialDelay,
+  isAsyncFunction,
+  isKillBehavior,
   isPlainObject,
   median,
-  round
+  round,
+  secureRandom,
+  sleep,
+  updateMeasurementStatistics
 } = require('../lib/utils')
-const {
-  isKillBehavior,
-  KillBehaviors
-} = require('../lib/worker/worker-options')
+const { KillBehaviors } = require('../lib/worker/worker-options')
 
 describe('Utils test suite', () => {
   it('Verify availableParallelism() behavior', () => {
     expect(typeof availableParallelism() === 'number').toBe(true)
+    expect(availableParallelism()).toBeGreaterThan(0)
+    expect(Number.isSafeInteger(availableParallelism())).toBe(true)
+  })
+
+  it('Verify sleep() behavior', async () => {
+    const now = performance.now()
+    await sleep(1000)
+    const elapsed = performance.now() - now
+    expect(elapsed).toBeGreaterThanOrEqual(1000)
+  })
+
+  it('Verify exponentialDelay() behavior', () => {
+    expect(typeof exponentialDelay(randomInt(1000)) === 'number').toBe(true)
+    expect(exponentialDelay(randomInt(1000))).toBeGreaterThanOrEqual(
+      Number.MIN_VALUE
+    )
+    expect(exponentialDelay(randomInt(1000))).toBeLessThanOrEqual(
+      Number.MAX_VALUE
+    )
+  })
+
+  it('Verify average() computation', () => {
+    expect(average([])).toBe(0)
+    expect(average([0.08])).toBe(0.08)
+    expect(average([0.25, 4.75, 3.05, 6.04, 1.01, 2.02, 5.03])).toBe(
+      3.1642857142857146
+    )
+    expect(average([0.25, 4.75, 3.05, 6.04, 1.01, 2.02])).toBe(
+      2.8533333333333335
+    )
   })
 
   it('Verify median() computation', () => {
@@ -81,6 +120,108 @@ describe('Utils test suite', () => {
     expect(isKillBehavior(KillBehaviors.SOFT)).toBe(false)
     expect(isKillBehavior(KillBehaviors.HARD)).toBe(false)
     expect(isKillBehavior(KillBehaviors.HARD, null)).toBe(false)
+    expect(isKillBehavior(KillBehaviors.HARD, undefined)).toBe(false)
     expect(isKillBehavior(KillBehaviors.SOFT, 'unknown')).toBe(false)
   })
+
+  it('Verify isAsyncFunction() behavior', () => {
+    expect(isAsyncFunction(null)).toBe(false)
+    expect(isAsyncFunction(undefined)).toBe(false)
+    expect(isAsyncFunction(true)).toBe(false)
+    expect(isAsyncFunction(false)).toBe(false)
+    expect(isAsyncFunction(0)).toBe(false)
+    expect(isAsyncFunction('')).toBe(false)
+    expect(isAsyncFunction([])).toBe(false)
+    expect(isAsyncFunction(new Date())).toBe(false)
+    expect(isAsyncFunction(new RegExp())).toBe(false)
+    expect(isAsyncFunction(new Error())).toBe(false)
+    expect(isAsyncFunction(new Map())).toBe(false)
+    expect(isAsyncFunction(new Set())).toBe(false)
+    expect(isAsyncFunction(new WeakMap())).toBe(false)
+    expect(isAsyncFunction(new WeakSet())).toBe(false)
+    expect(isAsyncFunction(new Int8Array())).toBe(false)
+    expect(isAsyncFunction(new Uint8Array())).toBe(false)
+    expect(isAsyncFunction(new Uint8ClampedArray())).toBe(false)
+    expect(isAsyncFunction(new Int16Array())).toBe(false)
+    expect(isAsyncFunction(new Uint16Array())).toBe(false)
+    expect(isAsyncFunction(new Int32Array())).toBe(false)
+    expect(isAsyncFunction(new Uint32Array())).toBe(false)
+    expect(isAsyncFunction(new Float32Array())).toBe(false)
+    expect(isAsyncFunction(new Float64Array())).toBe(false)
+    expect(isAsyncFunction(new BigInt64Array())).toBe(false)
+    expect(isAsyncFunction(new BigUint64Array())).toBe(false)
+    expect(isAsyncFunction(new Promise(() => {}))).toBe(false)
+    expect(isAsyncFunction(new WeakRef({}))).toBe(false)
+    expect(isAsyncFunction(new FinalizationRegistry(() => {}))).toBe(false)
+    expect(isAsyncFunction(new ArrayBuffer())).toBe(false)
+    expect(isAsyncFunction(new SharedArrayBuffer())).toBe(false)
+    expect(isAsyncFunction(new DataView(new ArrayBuffer()))).toBe(false)
+    expect(isAsyncFunction({})).toBe(false)
+    expect(isAsyncFunction({ a: 1 })).toBe(false)
+    expect(isAsyncFunction(() => {})).toBe(false)
+    expect(isAsyncFunction(function () {})).toBe(false)
+    expect(isAsyncFunction(function named () {})).toBe(false)
+    expect(isAsyncFunction(async () => {})).toBe(true)
+    expect(isAsyncFunction(async function () {})).toBe(true)
+    expect(isAsyncFunction(async function named () {})).toBe(true)
+  })
+
+  it('Verify updateMeasurementStatistics() behavior', () => {
+    const measurementStatistics = {
+      history: new CircularArray()
+    }
+    updateMeasurementStatistics(
+      measurementStatistics,
+      { aggregate: true, average: false, median: false },
+      0.01
+    )
+    expect(measurementStatistics).toStrictEqual({
+      aggregate: 0.01,
+      maximum: 0.01,
+      minimum: 0.01,
+      history: new CircularArray()
+    })
+    updateMeasurementStatistics(
+      measurementStatistics,
+      { aggregate: true, average: false, median: false },
+      0.02
+    )
+    expect(measurementStatistics).toStrictEqual({
+      aggregate: 0.03,
+      maximum: 0.02,
+      minimum: 0.01,
+      history: new CircularArray()
+    })
+    updateMeasurementStatistics(
+      measurementStatistics,
+      { aggregate: true, average: true, median: false },
+      0.001
+    )
+    expect(measurementStatistics).toStrictEqual({
+      aggregate: 0.031,
+      maximum: 0.02,
+      minimum: 0.001,
+      average: 0.001,
+      history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001)
+    })
+    updateMeasurementStatistics(
+      measurementStatistics,
+      { aggregate: true, average: true, median: false },
+      0.003
+    )
+    expect(measurementStatistics).toStrictEqual({
+      aggregate: 0.034,
+      maximum: 0.02,
+      minimum: 0.001,
+      average: 0.002,
+      history: new CircularArray(DEFAULT_CIRCULAR_ARRAY_SIZE, 0.001, 0.003)
+    })
+  })
+
+  it('Verify secureRandom() behavior', () => {
+    const randomNumber = secureRandom()
+    expect(typeof randomNumber === 'number').toBe(true)
+    expect(randomNumber).toBeGreaterThanOrEqual(0)
+    expect(randomNumber).toBeLessThan(1)
+  })
 })