min.mjs

   1 import Benchmark from 'benny'
   2 import { generateRandomNumberArray } from './benchmark-utils.mjs'
   3
   4 const size = 10000
   5 const testArray = generateRandomNumberArray(size)
   6
   7 /**
   8  *
   9  * @param values
  10  * @returns
  11  */
  12 function loopMin (values) {
  13   let minimum = Infinity
  14   for (const value of values) {
  15     if (value < minimum) minimum = value
  16   }
  17   return minimum
  18 }
  19
  20 /**
  21  *
  22  * @param values
  23  * @returns
  24  */
  25 function reduceTernaryMin (values) {
  26   return values.reduce(
  27     (minimum, num) => (minimum < num ? minimum : num),
  28     Infinity
  29   )
  30 }
  31
  32 /**
  33  *
  34  * @param values
  35  * @returns
  36  */
  37 function reduceMathMin (values) {
  38   return values.reduce((minimum, num) => Math.min(minimum, num), Infinity)
  39 }
  40
  41 /**
  42  *
  43  * @param values
  44  * @returns
  45  */
  46 function sortMin (values) {
  47   return values.sort((a, b) => a - b)[0]
  48 }
  49
  50 Benchmark.suite(
  51   `Min from ${size} numbers`,
  52   Benchmark.add('Math.min', () => {
  53     Math.min(...testArray)
  54   }),
  55   Benchmark.add('loopMin', () => {
  56     loopMin(testArray)
  57   }),
  58   Benchmark.add('reduceTernaryMin', () => {
  59     reduceTernaryMin(testArray)
  60   }),
  61   Benchmark.add('reduceMath.min', () => {
  62     reduceMathMin(testArray)
  63   }),
  64   Benchmark.add('sortMin', () => {
  65     sortMin(testArray)
  66   }),
  67   Benchmark.cycle(),
  68   Benchmark.complete(),
  69   Benchmark.save({ file: 'min', format: 'json', details: true }),
  70   Benchmark.save({ file: 'min', format: 'chart.html', details: true }),
  71   Benchmark.save({ file: 'min', format: 'table.html', details: true })
  72 ).catch(console.error)