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transformations.ts
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transformations.ts
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// From: https://github.com/foxbunny/transform/blob/master/transform.js
import * as R from 'ramda'
const ARRAY_SIZE = 100000
const RESULT_LENGTH = Math.floor(ARRAY_SIZE / 2)
const counter = {
next: 0,
step: () => {
return ++counter.next
},
reset: () => {
counter.next = 0
}
}
const bigArray = new Array(100000).fill(0)
const getNum = () => counter.step()
const halve = x => x / 2
const isInt = x => Math.floor(x) === x
const run = (title, createTest) => {
counter.reset()
const testFn = createTest()
console.time(title)
const result = testFn()
console.log(result.slice(-3, -1))
console.timeEnd(title)
console.assert(
result.length === RESULT_LENGTH,
`${title} should have ${RESULT_LENGTH} items but has ${result.length}`
)
}
run('Simple', () => {
return () =>
bigArray
.map(getNum)
.map(halve)
.filter(isInt)
})
run('Fast fix', () => {
return () =>
bigArray.reduce(newArr => {
const num = getNum()
const hlv = halve(num)
if (isInt(hlv)) {
newArr.push(hlv)
}
return newArr
}, [])
})
run('Purely imperative', () => {
return () => {
const newArr = []
const l = bigArray.length
for (let i = 0; i < l; i++) {
const num = getNum()
const hlv = halve(num)
if (isInt(hlv)) {
newArr.push(hlv)
}
}
return newArr
}
})
run('Transform 1 (using push)', () => {
const transform = (arr, transformer) =>
arr.reduce((newArr, member) => {
const t = transformer([member])
if (t.length) {
newArr.push(t[0])
}
return newArr
}, [])
return () =>
transform(bigArray, arr =>
arr
.map(getNum)
.map(halve)
.filter(isInt)
)
})
run('Generators', () => {
const map = function*(arr, fn) {
for (let member of arr) {
yield fn(member)
}
}
const filter = function*(arr, fn) {
for (let member of arr) {
if (fn(member)) {
yield member
}
}
}
return () => {
const nums = map(bigArray, getNum)
const hlv = map(nums, halve)
return [...filter(hlv, isInt)]
}
})
run('Ramda simple', () => {
const transform = R.pipe(
R.map(getNum),
R.map(halve),
R.filter(isInt)
)
return () => transform(bigArray)
})
run('Ramda compose', () => {
const transform = R.pipe(
R.map(
R.compose(
halve,
getNum
)
),
R.filter(isInt)
)
return () => transform(bigArray)
})