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atlas-for-window
Advanced tools
Generalizes iterating over an array with a sliding window.
npm install --save atlas-for-window
Sometimes you need to iterate over a window of values in an array, and do something "for each window":
// window size = 2
[1,2,3,4,5,6] // main array
[1,2] // 1st window
[2,3] // 2nd window
[3,4] // 3rd window
[4,5] // 4th window
[5,6] // 5th window
We'd like to do this without polluting our business logic with iteration logic. This library provides a clean API for iterating over n-windows in an array.
A single argument gives you a physical window to work with:
const { forWindow } = require("atlas-for-window");
const myArray = ["a", "b", "c", "d"];
// iterate over all 2-windows in myArray
forWindow(2, myArray, window => {
console.log(window);
})
// ['a', 'b']
// ['b', 'c']
// ['c', 'd']
Slicing is expensive. Non-unary iterator functions will be given the start and end indexes of the window, which is much, much faster than slicing:
...
forWindow(2, myArray, function(){
console.log(arguments[0], arguments[1])
})
// 0 2
// 1 3
// 2 4
...
forWindow(2, myArray, (start, end) => {
console.log(start, end)
})
// 0 2
// 1 3
// 2 4
...
forWindow(2, myArray, (...args) => {
console.log(...args)
})
// 0 2
// 1 3
// 2 4
Please note that the end index is non-inclusive, allowing you to use the familiar iteration syntax:
...
forWindow(2, myArray, (start, end) => {
const window = [];
for (let i = start, i < end; i++){ // familiar "i < end"
window.push(myArray[i])
}
console.log(window)
})
// ['a', 'b']
// ['b', 'c']
// ['c', 'd']
You don't need to worry about the edge cases. If the desired window size is greater or equal to the parent array size, the iterator will be run exactly once: either with the parent array as the window argument in the case of a unary iterator, or with the arguments (0, parentArray.length)
in the case of a non-unary iterator.
FAQs
Generalizes iterating over an array with a sliding window.
We found that atlas-for-window demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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