X-Git-Url: https://git.piment-noir.org/?a=blobdiff_plain;f=tests%2Futils.test.js;h=97b5e8a985bd9569efe405c813740b4551c4c607;hb=dc021bcca72f8b4d185d96a301579612fba2793b;hp=f220927edc9cc180ba9740d4e191508194dd40b6;hpb=78ac1a90f8ebbe32f3b94c10f37cefe39090e9a3;p=poolifier.git

diff --git a/tests/utils.test.js b/tests/utils.test.js
index f220927e..97b5e8a9 100644
--- a/tests/utils.test.js
+++ b/tests/utils.test.js
@@ -1,17 +1,36 @@
 const { expect } = require('expect')
+const {
+  CircularArray,
+  DEFAULT_CIRCULAR_ARRAY_SIZE
+} = require('../lib/circular-array')
 const {
   availableParallelism,
+  average,
   isAsyncFunction,
   isKillBehavior,
   isPlainObject,
   median,
-  round
+  round,
+  updateMeasurementStatistics
 } = require('../lib/utils')
 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 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', () => {
@@ -125,4 +144,56 @@ describe('Utils test suite', () => {
     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)
+    })
+  })
 })