Run results for: lodash xor performance with multiple arrays

Run details:

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36

Browser: Chrome 134

Operating system: Mac OS X 10.15.7

Device Platform: Desktop

Date tested: one year ago

Test name	Executions per second
lodash xor	346.1 Ops/sec
with Sets	1307.7 Ops/sec

Script Preparation code:

function dec2hex (dec) {
  return dec < 10
    ? '0' + String(dec)
    : dec.toString(16)
}

function generateId (len) {
  var arr = new Uint8Array((len || 40) / 2)
  window.crypto.getRandomValues(arr)
  return Array.from(arr, dec2hex).join('')
}

var a = []
var b = []
var c = []
var d = []
var e = []
var f = []
var g = []
for( let i = 0; i < 1000; i++)
{
  a[i] = generateId(16)
  b[i] = generateId(16)
  c[i] = generateId(16)
  d[i] = generateId(16)
  e[i] = generateId(16)
  f[i] = generateId(16)
  g[i] = generateId(16)
}

Tests:

lodash xor
const res = _.xor(a, b, c, d, e, f, g)
with Sets
function xor(...arrays) { const allItems = new Map(); arrays.forEach(array => { const localSet = new Set(array); localSet.forEach(item => { const count = allItems.get(item) || 0; allItems.set(item, count + 1); }); }); return Array.from(allItems.entries()) .filter(([item, count]) => count === 1) .map(([item]) => item); } const res = xor(a, b, c, d, e, f, g)

Run results for: lodash xor performance with multiple arrays

Searching for faster solution for _.xor(a, b)

lodash xor

with Sets