Skip to main content

Built and signed on GitHub Actions

It is unknown whether this package works with Cloudflare Workers, Node.js, Deno, Bun, Browsers
It is unknown whether this package works with Cloudflare Workers
It is unknown whether this package works with Node.js
It is unknown whether this package works with Deno
It is unknown whether this package works with Bun
It is unknown whether this package works with Browsers
JSR Score
70%
Published
2 months ago (4.1.5)

iteragain

Tests & Checks Release & Publish npm tree-shakeable minified-size

Another Javascript library for iterating. Available on npm.js and jsr.io.

Pure JavaScript, Iterable/Iterator/Generator-function utilities. No dependencies and shipped with types as is.

Iterators and Iterables in Javascript has basically no supporting methods or functions. This package provides easy to use, lazy evaluation methods to save on memory and unnecessary processing. Support with using the already existing next() method and usage in "for of" loops, this makes using Iterators as easy as using an Array.

This package can be used like in Python with standalone functions like map, filter, etc. Or be used with method chaining by calling iter which returns an instance of the ExtendedIterator class. Either is supported for however you want to handle iterators.

Documentation

You can see the full list of modules and the documentation on everything here.

Changelog

View the full list of changes here.

Code examples

A performance benefit over using Array's higher-order methods

// This is an example of using Array higher-order methods.
// And this particular one will iterate over `someArray` 3 times.
const result1 = someArray.map(iteratee).filter(predicate).reduce(reducer);

// This example of using `iter` returns the same result, but it will only iterate over `someArray` once.
const result2 = iter(someArray).map(iteratee).filter(predicate).reduce(reducer).toArray();

equal(result1, result2); // Asserts that the results are the same.

Basic use of iter and some standalone functions

// Import from the root index
import { iter } from 'iteragain';
// Or from the file itself (tree shakeable):
import iter from 'iteragain/iter';
let nums = iter([1, 2, 3, 4, 5])
  .map(n => n * n)
  .filter(n => n % 2 === 0)
  .toArray();
// [4, 16]
// Or use the standalone functions instead of `iter`:
import { map, filter, toArray } from 'iteragain';
nums = toArray(
  filter(
    map([1, 2, 3, 4, 5], n => n * n),
    n => n % 2 === 0,
  ),
); // [4, 16]

Using the range standalone function

import range from 'iteragain/range';
range(10).toArray(); // [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
range(10, 0).toArray(); // [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
range(0, -10).toArray(); // [0, -1, -2, -3, -4, -5, -6, -7, -8, -9]
range(0, 10, 2).toArray(); // [0, 2, 4, 6, 8]
let r = range(3);
const nums = [...r, ...r]; // [0, 1, 2, 0, 1, 2], can be reused after a full iteration.
r = range(0, 10, 2);
// The following methods do not iterate/access the internal iterator:
r.length; // 10, (a readonly property)
r.includes(4); // true
r.nth(-1); // 8 (the last element)
r.nth(1); // 2 (the second element)
r.nth(10); // undefined (the 10th element doesn't exist)
r.index(4); // 2 (the index of the value 4)

Iterating through any object's properties recursively

import iter from 'iteragain/iter';
const obj = { a: 1, b: { c: 2, d: { e: 3 }, f: 4 } };
const keys = iter(obj)
  .map(([key, _value, _parent]) => key)
  .toArray();
// ['a', 'c', 'e', 'd', 'b', 'f'] Post-order depth first search traversal of `obj`.

Supports passing functions as input and using an optional sentinel value to stop iteration

import iter from 'iteragain/iter';
const it = iter(() => someFunction(1, 2, 3), null);
// Will call `someFunction` with the arguments [1, 2, 3] for each iteration until it returns `null`:
const results = it.toArray();

Accessing elements from an iterator with arrayLike

The arrayLike uses a Proxy that wraps a seekable iterator. This allows access to elements from the iterator. This can be useful when you may need to easily search behind the current element, then look ahead, or just access elements by index.

import { arrayLike, range, iter, toArray } from 'iteragain';

const arr = arrayLike(iter(range(100)).map(n => n * n)); // Cached elements: []
arr.length; // Returns 0

arr[4]; // Returns 16. Cached elements: [0, 1, 4, 9, 16]
arr.length; // returns 5

arr[9]; // Returns 81. Cached elements: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
arr.length; // Returns 10

// Negative indices are supported, because internally it's just a seekable.
// This will seek starting from the end of the internal cache.
arr[-1]; // Returns 81. Cached elements: [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
arr.length; // Returns 10

// All other array methods are supported, as it's of type `readonly number[]`.
// Including using it as an iterable:
for (const n of arr) {
  console.log(n);
  if (n > 20) break;
}

// Exhausts the iterator wrapped inside of `arr`. `collected` is just a regular array.
const collected = toArray(arr);

Inpired by

iterplus, iterare, lodash, rxjs, ixjs and the Python itertools and more-itertools modules. See benchmark section for performance against some of these.

Benchmark

Starting benchmark suite: index.bm.ts
for of loop x 2,831 ops/sec, ±10 ops/sec or ±0.35% (98 runs sampled)
iteragain x 1,853 ops/sec, ±7 ops/sec or ±0.36% (98 runs sampled)
iteragain standalones x 1,740 ops/sec, ±27 ops/sec or ±1.57% (97 runs sampled)
iterare x 1,754 ops/sec, ±31 ops/sec or ±1.76% (96 runs sampled)
rxjs x 1,319 ops/sec, ±7 ops/sec or ±0.50% (96 runs sampled)
ixjs x 873 ops/sec, ±15 ops/sec or ±1.70% (95 runs sampled)
Built and signed on
GitHub Actions
View transparency log

Add Package

deno add jsr:@danoaky/iteragain

Import symbol

import * as iteragain from "@danoaky/iteragain";

---- OR ----

Import directly with a jsr specifier

import * as iteragain from "jsr:@danoaky/iteragain";

Add Package

npx jsr add @danoaky/iteragain

Import symbol

import * as iteragain from "@danoaky/iteragain";

Add Package

yarn dlx jsr add @danoaky/iteragain

Import symbol

import * as iteragain from "@danoaky/iteragain";

Add Package

pnpm dlx jsr add @danoaky/iteragain

Import symbol

import * as iteragain from "@danoaky/iteragain";

Add Package

bunx jsr add @danoaky/iteragain

Import symbol

import * as iteragain from "@danoaky/iteragain";