A pattern for emulating multiple seeded gradient noise functions with a single seeded function

getReservedNoiseSpace.js

let globalNoiseOffset = 0
function getReservedNoiseSpace(reservedSize=1) {
  const ownNoiseOffset = globalNoiseOffset
  globalNoiseOffset += reservedSize + 1 + Math.random() // introduce a (random) buffer of size at least 1 to prevent continuity between spaces
  return (...args) => noise(args.map(arg => arg + ownNoiseOffset)) // e.g. https://p5js.org/reference/#/p5/noise
}

usage.js

function optimizedUsage() {
  noiseSeed(123) // the noise function is seeded only once
  const myNoise1 = getReservedNoiseSpace()
  const myNoise2 = getReservedNoiseSpace()
  // these noise functions are backed by a single-seeded noise function,
  // but appear as differently-seeded noise functions over the entirety of the reserved size in each n dimensions
  console.log(myNoise1(0.5))
  console.log(myNoise2(0.5))
}

function unoptimizedUsage() {
  const noiseSeed1 = 123, noiseSeed2 = 456
  noiseSeed(noiseSeed1) // the noise function must be seeded before each usage
  const myNoiseValue1 = noise(0.5)
  // the noise function must be seeded again
  noiseSeed(noiseSeed2)
  const myNoiseValue2 = noise(0.5)
  console.log(myNoiseValue1)
  console.log(myNoiseValue2)
}