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Array - A simple and powerful library to handle immutable arrays/lists","keywords":["list","array","collection"],"author":{"name":"Paulo Cândido","email":"pcandido.m@gmail.com"},"license":"MIT","readme":"# sparray\n\nA convenient, simple, chainable, and 0-dependencies library to handle arrays/lists.\n\n![npm](https://img.shields.io/npm/v/sparray)\n![Publish Pipeline](https://img.shields.io/github/actions/workflow/status/pcandido/sparray/publish.yml?branch=main)                    \n![GitHub issues](https://img.shields.io/github/issues-raw/pcandido/sparray)\n![Licence](https://img.shields.io/npm/l/sparray)\n\nJump to [📖 Table of contents](#-table-of-contents)\n\n---\n## 🚀 Getting start\n\n1. Install **sparray** as dependency:\n\n    `npm i sparray`\n\n2. Import sparray or one of its factories to your module:\n\n    `import { from } from 'sparray'`\n\n3. Build a sparray and start using it:\n\n    ```js\n    from(1, 2, 2, 3, 3, 3)\n      .distinct()\n      .count()\n\n    // 3\n    ```\n---\n## 🧬 Concepts\n\n###  Sparrays are immutable\nYou will not find any method that allows you to change a sparray (such as push, pop, etc).\nInstead, any operation will always create a new sparray. Immutability helps you keep control of your data and mitigate problems due to side effects.\n\n```js\nconst array = [1, 2, 3]\nconst spr = from(array)\n\narray.push(4)\nspr.push(4) //Error - you cannot change sparrays, there is no push method\n\n// array = [ 1, 2, 3, 4 ]\n// spr = [ 1, 2, 3 ]\n```\n\n### Sparrays are chainable\nAll the sparrays methods return something. Several operations (due to immutability) generate other sparray that you can continue chaining new operations.\n\n```js\nconst result = from(1, 2, 3)\n  .flatMap(n => repeat(n, n))\n  .groupBy(n => n)\n  .toSparray()\n  .map(entry => entry.values)\n  .flat()\n  .distinct()\n\n// [ 1, 2, 3 ]\n```\n\n### Sparrays are not arrays\nAlthough sparray implements almost all array methods, Sparray does not implement the array interface and does not have any of those methods that modify the array data.\n\n```js\nconst spr = from(1, 2, 3)\n\nspr.join() // correct\nspr.push(4) // error\nspr.at() // correct\nspr.splice(1, 1) // error\n```\n\n---\n\n## 🔨 Factories\n\nSparray provides a few powerful factories, with which you can build sparrays and start handling your data.\n\n### from()\n\nThe first and most powerful factory is `from()`. It allows you to build sparrays based on data you already have. You can provide literal values, both as an array or as a list of arguments:\n\n```js\nimport { from } from 'sparray'\n\nconst s1 = from(1, 2, 3, 4, 5)\nconst s2 = from([1, 2, 3, 4, 5])\n```\n\nOf course, you can use an already in-memory array:\n\n```js\nconst array = getArrayFromSomewhere()\nconst spr = from(array)\n```\n\nSparray also can be built from sets:\n\n```js\nconst set = new Set([1, 1, 2, 2, 3, 3])\nconst spr = from(set)\n```\n\nAnd finally, it is possible to build an sparray from another:\n\n```js\nconst s1 = from(1, 2, 3)\nconst s2 = from(s1)\n```\n\nNote, if pass more than one array/sparray/set as arguments, the resultant sparray will not automatically flat them, but you can do it later.\n\n```js\nconst array = [1, 2]\nconst set = new Set([3, 4])\nconst spr = from(5, 6)\n\nconst data = from(array, set, spr)\n// [ [ 1, 2 ], Set(2) { 3, 4 }, [ 5, 6 ] ]\n\ndata.flatMap(collection => from(collection))\n// [ 1, 2, 3, 4, 5, 6 ]\n```\n\n### range()\n\nRange factory allows you to create a sparray from a sequence of numbers.\n\nYou can generate a sequence from zero (inclusive) to the given number (exclusive) by passing one number:\n\n```js\nimport { range } from 'sparray'\n\nconst spr = range(5)\n\n// [ 0, 1, 2, 3, 4 ]\n```\n\nIt is also possible to provide `start` (inclusive) and `end`(exclusive) arguments:\n\n```js\nconst spr = range(5, 10)\n\n// [ 5, 6, 7, 8, 9 ]\n```\n\nEven if you need a decrescent range:\n\n```js\nconst spr = range(10, 5)\n\n// [ 10, 9, 8, 7, 6 ]\n```\n\nFinally, you can define the step size, to get ranges as you need:\n\n```js\nconst spr = range(10, 51, 10)\n\n// [ 10, 20, 30, 40, 50 ]\n```\n\n### repeat()\n\nThis factory allows you to repeat a given value for n times. You just need to provide the value and the number of times you want the value to be repeated:\n\n```js\nimport { repeat } from 'sparray'\n\nconst spr = repeat('hello', 3)\n\n// [ 'hello', 'hello', 'hello' ]\n```\n\n### empty()\n\nThe last factory is pretty simple, it builds an empty sparray.\n\n```js\nimport { empty } from 'sparray'\n\nconst spr = empty()\n\n// [ ]\n```\n\n---\n\n## 🧮 Operations\n\nHere you will find all the operations you can do with your Sparray.\n\n### at()\nIt is the most common way to get an element of a specific position of a sparray. It takes an index as param. If negative, the search will be backward.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nspr.at(0) // 1\nspr.at(1) // 2\nspr.at(-1) // 5\nspr.at(-2) //4\nspr.at(10) //undefined\n```\n\n### keys()\nAs in arrays, `keys()` returns an iterator of sparray indices.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nfor(const key of spr.keys()){\n  console.log(key)\n}\n\n// 0\n// 1\n// 2\n// 3\n// 4\n```\n\n### values()\nAs in arrays, `values()` returns an iterator of sparray values.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nfor(const value of spr.keys()){\n  console.log(value)\n}\n\n// 1\n// 2\n// 3\n// 4\n// 5\n```\n\n### entries()\nAs in arrays, `entries()` returns an iterator of sparray indices and values. Each value will be an array, being the first element the index and the second one the value.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nfor(const [key, value] of spr.entries()){\n  console.log(key, value)\n}\n\n// 0 1\n// 1 2\n// 2 3\n// 3 4\n// 4 5\n```\n\n### enumerate()\nSimilar to entries, `enumerate()` exposes the index and value for each element, but instead of returning an iterator, the return is a sparray. Each element of resultant sparray is an object containing `index` and `value`.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.enumerate()\n\n// [\n//   {index: 0, value: 1},\n//   {index: 1, value: 2},\n//   {index: 2, value: 3},\n//   {index: 3, value: 4},\n//   {index: 4, value: 5}\n// ]\n```\n\n### length\nIt is a property of sparray and reveals its number of elements.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.length\n\n// 5\n```\n\n### size()\nAs `length`, `size()` reveals the sparray number of elements.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.size()\n\n// 5\n```\n\n### count()\nAs `length` and `size()`, `count` will return the number of elements of the sparray. But `count()` also can count just elements that match a condition, expressed by a `conditionFn`.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nspr.count() // 5\nspr.count(element => element < 3) // 2\nspr.count((element, index, sparray) => index > 3) // 1\n```\n\n### isEmpty()\nDetermines if sparray is or not empty.\n\n```js\nempty().isEmpty() // true\nfrom(1, 2, 3).isEmpty() // false\n```\n\n### isNotEmpty()\nDetermines if sparray is or not empty.\n\n```js\nempty().isNotEmpty() // false\nfrom(1, 2, 3).isNotEmpty() // true\n```\n\n### toString()\nGenerates a string representation of sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.toString()\n\n// '[ 1, 2, 3, 4, 5 ]'\n```\n\n### toArray()\nGenerates a new array, based on sparray data.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.toArray()\n\n// [ 1, 2, 3, 4, 5 ]\n```\n\nNote changes on the generated array will not reflect on sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nconst array = spr.toArray()\n\narray.push(6)\n\n// array = [ 1, 2, 3, 4, 5, 6 ]\n// spr = [ 1, 2, 3, 4, 5 ]\n```\n\n### toSet()\nGenerates a new Set, based on sparray data.\n\n```js\nconst spr = from(1, 2, 3, 1, 2, 3)\nspr.toSet()\n\n// Set(3) { 1, 2, 3 }\n```\n\nNote changes on generated set will not reflect on sparray.\n\n```js\nconst spr = from(1, 2, 3, 1, 2, 3)\nconst set = spr.toSet()\n\nset.add(4)\n\n// spr = [ 1, 2, 3, 1, 2, 3 ]\n// set = Set(4) { 1, 2, 3, 4 }\n\n```\n\n### map()\nTransform elements of sparray. For each element on sparray, `mapFn` will be called with the element itself, its index, and the entire sparray as params. All the `mapFn` returns will form the transformed sparray. Note the original sparray does not change.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nconst mapped = spr.map((value, index, sparray) => value * 2)\n\n// spr = [ 1, 2, 3, 4, 5 ]\n// mapped = [ 2, 4, 6, 8, 10 ]\n```\n\n### flatMap()\nDifferent of `map()`, `flatMap()` expects an array or sparray as return of `mapFn`. The returned collections will be spread/flat onto the resultant sparray.\n\n```js\nconst spr = from(1, 2, 3)\nconst mapped = spr.map((value, index, sparray) => repeat(value, value))\nconst flatMapped = spr.flatMap((value, index, sparray) => repeat(value, value))\n\n// mapped = [ [ 1 ], [ 2, 2 ], [ 3, 3, 3 ] ]\n// flatMapped = [ 1, 2, 2, 3, 3, 3 ]\n```\n\n### flat()\nFlats the inner arrays/sparrays to the root sparray.\n\n```js\nconst spr = from([1, 2, 3], [4, 5, 6])\nconst flatted = spr.flat()\n\n//spr = [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]\n//flatted = [ 1, 2, 3, 4, 5, 6 ]\n```\n\nIt is also possible to determine how depth the flat operation should reach. `0` will not flat anything, `1` will flat the first level of arrays/sparrays, and so on.\n\n```js\nconst spr = from([1, [2, [3, [4]]]])\nconst level0 = spr.flat(0)\nconst level1 = spr.flat(1)\nconst level2 = spr.flat(2)\nconst level3 = spr.flat(3)\nconst level4 = spr.flat(4)\n\n// level0 = [ 1, [ 2, [ 3, [ 4 ] ] ] ]\n// level1 = [ 1, 2, [ 3, [ 4 ] ] ]\n// level2 = [ 1, 2, 3, [ 4 ] ]\n// level3 = [ 1, 2, 3, 4 ]\n// level4 = [ 1, 2, 3, 4 ]\n```\n\n### reduce()\nReduce the values of sparray by accumulating their values in an accumulator, from the first to the last element. When all elements were processed, the accumulated value is returned.\n\nFor each element, `reduceFn` will receive the accumulated value, the current element, the current index, and finally, the sparray itself.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.reduce((accumulated, current, currentIndex, sparray) => accumulated + current)\n\n// 15\n```\n\nAt the first pass, the first element is given as accumulated value while the second one is given as current. But it is also possible to provide an initial value. In this case, at the first pass, the initial value is given as accumulated value while the first element is given as current.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.reduce((accumulated, current) => accumulated + current, -10)\n\n// 5\n```\n\n### reduceRight()\nReduce the values of sparray by accumulating their values in an accumulator, from the last to the first element. When all elements were processed, the accumulated value is returned.\n\nFor each element, `reduceFn` will receive the accumulated value, the current element, the current index, and finally, the sparray itself.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.reduceRight((accumulated, current) => accumulated - current)\n\n// -5\n```\n\nAt the first pass, the last element is given as accumulated value while the second last one is given as current. But it is also possible to provide an initial value. In this case, at the first pass, the initial value is given as accumulated value while the last element is given as current.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.reduceRight((accumulated, current) => accumulated - current, 20)\n\n// 5\n```\n\n### filter()\nCreates a new sparray with only the elements that match criteria, i.e. elements that returned true to `filterFn`.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.filter((element, index, sparray) => element & 2 === 0)\n\n// [ 2, 4 ]\n```\n\n### forEach()\nPass through all the elements of sparray and calls `forEachFn` to each one, with the element, its index and the entire sparray. Differently of array, sparray's forEach returns itself, so that you can continue chaining the methods.\n\n```js\nconst spr = from(1, 2, 3)\n\nconst count = spr\n  .forEach((element, index, sparray) => console.log(element))\n  .count()\n\n// console:\n//   1\n//   2\n//   3\n\n//count = 3\n```\n\nNote `forEachFn` return is completely ignored. If you need to use the return, consider using `map()` instead.\n\n```js\nconst spr = from(1, 2, 3)\nconst spr2 = spr.forEach(element => element * 2)\nconst spr3 = spr.map(element => element * 2)\n\n// spr = [ 1, 2, 3 ]\n// spr2 = [ 1, 2, 3 ]\n// spr3 = [ 2, 4, 6 ]\n```\n\n### distinct()\nRemoves all the duplicated values from sparray. In terms of element order, only the first occurrence will be preserved.\n\n```js\nconst spr = from(1, 2, 2, 3, 2, 3)\nspr.distinct()\n\n// [ 1, 2, 3 ]\n```\n\n### join()\nBuilds a string joining all the elements of sparray. The default separator is the `,` (comma), but it is possible to provide the desired separator.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.join(' | ')\n\n// '1 | 2 | 3 | 4 | 5'\n```\n\nIt is also possible to change only the last separator.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.join(', ', ', and ')\n\n// '1, 2, 3, 4, and 5'\n```\n\n### some()\nReturns true if **any** of the sparray elements match the `someFn` criteria. Returns false otherwise.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nconst hasLessThan10 = spr.some((element, index, sparray) => element < 10)\nconst hasGreaterThan10 = spr.some((element, index, sparray) => element > 10)\n\n// hasLessThan10 = true\n// hasGreaterThan10 = false\n```\n\n### every()\nReturns true if **all** of the sparray elements match the `everyFn` criteria. Returns false otherwise.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nconst hasLessThan10 = spr.some((element, index, sparray) => element < 10)\nconst hasGreaterThan3 = spr.some((element, index, sparray) => element > 3)\n\n// hasLessThan10 = true\n// hasGreaterThan3 = false\n```\n\n### concat()\nGenerates a new sparray, concatenating the provide arrays/sparrays/elements.\n\n```js\nconst spr = from(1, 2, 3)\nspr.concat(range(4,7), [7, 8, 9], 10)\n\n// [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ]\n```\n\n### find()\nReturns the first element that matches the `findFn` criteria. If no element matches, undefined is returned.\n\n```js\nconst spr = from(1, 2, 3)\n\nconst found1 = spr.find((element, index, sparray) => element > 1)\nconst found2 = spr.find(element => element > 5)\n\n// found1 = 2\n// found2 = undefined\n```\n\n### findIndex()\nReturns the index of the first element that matches the `findFn` criteria. If no element matches, `-1` is returned.\n\n```js\nconst spr = from(1, 2, 3)\n\nconst found1 = spr.findIndex((element, index, sparray) => element > 1)\nconst found2 = spr.findIndex(element => element > 5)\n\n// found1 = 1\n// found2 = -1\n```\n\n### indexOf()\nReturns the first index of given element. If element is not in sparray, returns `-1`.\n\n```js\nconst spr = from(1, 2, 3)\n\nconst index2 = spr.indexOf(2)\nconst index5 = spr.indexOf(5)\n\n// index2 = 1\n// index5 = -1\n```\n\n### lastIndexOf()\nReturns the last index of given element. If element is not in sparray, returns `-1`.\n\n```js\nconst spr = from(1, 2, 3, 1, 2, 3)\n\nconst index2 = spr.indexOf(2)\nconst index5 = spr.indexOf(5)\n\n// index2 = 4\n// index5 = -1\n```\n\n### includes()\nReturns `true` if sparray has the given element. Returns `false` otherwise.\n\n```js\nconst spr = from(1, 2, 3)\n\nconst includes2 = spr.includes(2)\nconst includes5 = spr.includes(5)\n\n// includes2 = true\n// includes5 = false\n```\n\n### includesAll()\nReturns `true` if sparray has all the given elements. Returns `false` otherwise.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nconst includes3_4_5 = spr.includesAll(3, 4, 5)\nconst includes4_5_6 = spr.includesAll(4, 5, 6)\n\n// includes3_4_5 = true\n// includes4_5_6 = false\n```\n\n### includesAny()\nReturns `true` if sparray has any of the given elements. Returns `false` otherwise.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nconst includes4_5_6 = spr.includesAll(4, 5, 6)\nconst includes6_7_8 = spr.includesAll(6, 7, 8)\n\n// includes4_5_6 = true\n// includes6_7_8 = false\n```\n\n### reverse()\nGenerates a new sparray in the reverse order. Note the original sparray is not changed.\n\n```js\nconst spr = from(1, 2, 3)\nconst reversed = spr.reverse()\n\n// spr = [ 1, 2, 3 ]\n// reversed = [ 3, 2, 1 ]\n```\n\n### first()\nReturns the first element of the sparray. Equivalent to `.at(0)`.\n\n```js\nconst spr = from(1, 2, 3)\nspr.first()\n\n// 1\n```\n\nIt is also possible to ask for the first `n` elements. In this case a new sparray will be returned. Equivalent to `.slice(0, n)`.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.first(3)\n\n// [ 1, 2, 3 ]\n```\n\n### last()\nReturns the last element of the sparray. Equivalent to `.at(-1)`.\n\n```js\nconst spr = from(1, 2, 3)\nspr.last()\n\n// 3\n```\n\nIt is also possible to ask for the last `n` elements. In this case a new sparray will be returned. Equivalent to `.slice(-n)`.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.last(3)\n\n// [ 3, 4, 5 ]\n```\n\n### sort()\nSorts the elements of the sparray. If no `sortFn` is provided, the elements will be sorted by their natural order. Note a new sparray is generated, and the original one does not change.\n\n```js\nconst spr = from(2, 5, 3, 1, 4)\nconst sorted = spr.sort()\n\n// spr = [ 2, 5, 3, 1, 4 ]\n// sorted = [ 1, 2, 3, 4, 5 ]\n```\n\nThe `sortFn` receive a pair of elements and should determine which one is greatest. A returned value less than zero (`< 0`) means the first element should be placed before the second. A returned value greater than zero (`> 0`) means the first element should be placed after the second. A returned value equal to zero (`=== 0`) means both elements have the same order value.\n\n```js\nconst spr = from(2, 5, 3, 1, 4)\n\nconst didactic = spr.sort((el1, el2) => {\n  if (el1 < el2) return -1\n  if( el1 > el2) return 1\n  return 0\n})\n\nconst straightforward = spr.sort((el1, el2) => el1 - el2)\n\n// spr = [ 2, 5, 3, 1, 4 ]\n// didactic = [ 1, 2, 3, 4, 5 ]\n// straightforward = [ 1, 2, 3, 4, 5 ]\n```\n\n### sortBy()\nSorts the elements by natural order of the value returned by `keyFn`.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 5, b: 2},\n  {a: 1, b: 3},\n  {a: 4, b: 4},\n  {a: 2, b: 5},\n)\n\nspr.sortBy(element => element.a)\n\n// {a: 1, b: 3},\n// {a: 2, b: 5},\n// {a: 3, b: 1},\n// {a: 4, b: 4},\n// {a: 5, b: 2}\n```\n\nIt is also possible to sort elements by a key in reverse order.\n\n```js\nconst spr = from(1, 2, 3)\nspr.sortBy(element => element % 3, true)\n\n// [ 2, 1, 3 ]\n```\n\n### min()\nReturns the minimum value of sparray, considering the natural order.\n\n```js\nconst spr = from(2, 5, 3, 1, 4)\nspr.min()\n\n// 1\n```\n\n### max()\nReturns the maximum value of sparray, considering the natural order.\n\n```js\nconst spr = from(2, 5, 3, 1, 4)\nspr.max()\n\n// 5\n```\n\n### minBy()\nReturns the minimum value of sparray, considering the natural order of a key determined by the `keyFn`.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 5, b: 2},\n  {a: 1, b: 3},\n  {a: 4, b: 4},\n  {a: 2, b: 5},\n)\n\nspr.minBy(element => element.a)\n\n// {a: 1, b: 3}\n```\n\n### maxBy()\nReturns the maximum value of sparray, considering the natural order of a key determined by the `keyFn`.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 5, b: 2},\n  {a: 1, b: 3},\n  {a: 4, b: 4},\n  {a: 2, b: 5},\n)\n\nspr.maxBy(element => element.a)\n\n// {a: 5, b: 2}\n```\n\n### slice()\nReturns a new sparray with a slice of the original one. If just a parameter `n` is provided, the slice will be from the `n`-th element (inclusive) to the end of sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.slice(3)\n\n// [ 4, 5 ]\n```\n\nIf two parameters are provided, the slice will be from the the first index (inclusive) to the second index (exclusive).\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.slice(1, 4)\n\n// [ 2, 3, 4 ]\n```\n\nNote is also possible to use negative/backward indices.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\n\nconst slice1 = spr.slice(-4)\nconst slice2 = spr.slice(-4, 4)\n\n// [ 2, 3, 4, 5 ]\n// [ 2, 3, 4 ]\n```\n\n### indexBy()\nIndexes the elements of the sparray according to the key returned by `keyFn`. The resultant value is an object, where keys are the indexed keys, and values are the elements themselves. Note if there are multiple elements that returns the same key, just the last will be indexed (if it was not you expected, see groupBy).\n\n```js\nconst spr = from(\n  { a: 3, b: 1 },\n  { a: 2, b: 2 },\n  { a: 1, b: 3 },\n  { a: 2, b: 4 },\n)\nspr.indexBy((element, index, sparray) => element.a)\n\n// {\n//   '1': { a: 1, b: 3 },\n//   '2': { a: 2, b: 4 },\n//   '3': { a: 3, b: 1 },\n// }\n```\n\nIt is also possible to provide a `valueFn`, to handle the value from each key.\n\n```js\nconst spr = from(\n  { a: 3, b: 1 },\n  { a: 2, b: 2 },\n  { a: 1, b: 3 },\n  { a: 2, b: 4 },\n)\nspr.indexBy(\n  (element, index, sparray) => element.a,\n  (element, key, index, sparray) => element.b,\n)\n\n// {\n//   '1': 3,\n//   '2': 4,\n//   '3': 1,\n// }\n```\n\nFinally, it is possible to get back to sparray structure, and continue chaining.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 2, b: 2},\n  {a: 1, b: 3},\n  {a: 2, b: 4},\n)\nspr.indexBy(e => e.a, e => e.b).toSparray()\n\n// [\n//   { key: '1', value: 3 },\n//   { key: '2', value: 4 },\n//   { key: '3', value: 1 },\n// ]\n```\n\n### groupBy()\nSimilar to `indexBy`, but return a sparray of elements instead of only the last one that match with a specific key.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 2, b: 2},\n  {a: 1, b: 3},\n  {a: 2, b: 4},\n)\nspr.groupBy((element, index, sparray) => element.a)\n\n// {\n//   '1': [ { a: 1, b: 3 } ],\n//   '2': [ { a: 2, b: 2 }, { a: 2, b: 4 } ],\n//   '3': [ { a: 3, b: 1 } ],\n// }\n```\n\nIt is also possible to handle values by `valuesFn`.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 2, b: 2},\n  {a: 1, b: 3},\n  {a: 2, b: 4},\n)\nspr.groupBy(\n  (element, index, sparray) => element.a,\n  (grouped, key) => grouped.size(),\n)\n\n// {\n//   '1': 1,\n//   '2': 2,\n//   '3': 1,\n// }\n```\n\nFinally, it is possible to get back to sparray structure, and continue chaining.\n\n```js\nconst spr = from(\n  {a: 3, b: 1},\n  {a: 2, b: 2},\n  {a: 1, b: 3},\n  {a: 2, b: 4},\n)\nspr.groupBy(e => e.a).toSparray()\n\n// [\n//   { key: '1', values: [ { a: 1, b: 3 } ] },\n//   { key: '2', values: [ { a: 2, b: 2 }, { a: 2, b: 4 } ] },\n//   { key: '3', values: [ { a: 3, b: 1 } ] },\n// ]\n```\n\n### sliding()\nPartitions the sparray in sub-sparrays of given size.\n\n```js\nconst spr = range(1, 11)\nspr.sliding(3)\n\n// [\n//   [ 1, 2, 3 ],\n//   [ 4, 5, 6 ],\n//   [ 7, 8, 9 ],\n//   [ 10 ],\n// ]\n```\n\nIt is also possible to change the step size, so that creating overlaps or holes between partitions.\n\n```js\nconst spr = range(1, 11)\nconst sliding1 = spr.sliding(3, 2)\nconst sliding2 = spr.sliding(3, 4)\n\n// sliding1 = [\n//   [ 1, 2, 3 ],\n//   [ 3, 4, 5 ],\n//   [ 5, 6, 7 ],\n//   [ 7, 8, 9 ],\n//   [ 9, 10 ],\n// ]\n\n// sliding2 = [\n//   [ 1, 2, 3 ],\n//   [ 5, 6, 7 ],\n//   [ 9, 10 ],\n// ]\n```\n\n### zip()\nGenerates a new sparray with each element being an array. Each position `i-th` of the new sparray will be the `i-th` element of the original sparray plus the other provided arrays/sparrays. The first element of the internal array will be from the original sparray, and each subsequent element will be defined according to the provided arrays/sparrays.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nconst toZip1 = from(6, 7, 8, 9, 10, 11, 12)\nconst toZip2 = ['a', 'b', 'c']\n\nspr.zip(toZip1, toZip2)\n\n// [\n//   [ 1, 6, 'a' ],\n//   [ 2, 7, 'b' ],\n//   [ 3, 8, 'c' ]\n//   [ 4, 9, undefined ]\n//   [ 5, 10, undefined ]\n// ]\n```\n\n### cross()\nGenerates a new sparray with Cartesian Product from the sparray and another sparray/array.\n\n```js\nconst spr1 = from('J', 'Q', 'K')\nconst spr2 = from('♠', '♥', '♦', '♣')\n\nspr.cross(spr2)\n\n// [\n//   [ 'J', '♠' ],\n//   [ 'J', '♥' ],\n//   [ 'J', '♦' ],\n//   [ 'J', '♣' ],\n//   [ 'Q', '♠' ],\n//   [ 'Q', '♥' ],\n//   [ 'Q', '♦' ],\n//   [ 'Q', '♣' ],\n//   [ 'K', '♠' ],\n//   [ 'K', '♥' ],\n//   [ 'K', '♦' ],\n//   [ 'K', '♣' ],\n// ]\n```\n\nIt is also possible to provide a `combineFn` that receives both elements and return a combined value.\n\n```js\nconst spr1 = from('J', 'Q', 'K')\nconst spr2 = from('♠', '♥', '♦', '♣')\n\nspr.cross(spr2, (el1, el2) => `${el1}${el2}`)\n\n// [\n//   'J ♠',\n//   'J ♥',\n//   'J ♦',\n//   'J ♣',\n//   'Q ♠',\n//   'Q ♥',\n//   'Q ♦',\n//   'Q ♣',\n//   'K ♠',\n//   'K ♥',\n//   'K ♦',\n//   'K ♣',\n// ]\n```\n\n### sample()\nReturns a randomly selected value from sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nconst v1 = spr.sample()\nconst v2 = spr.sample()\n\n// v1 = 2\n// v2 = 5\n```\n\nIf an integer is provided, the sparray will select this quantity of samples. It will be necessary to define if the selected values could or could not be selected again.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nconst s1 = spr.sample(3, false)\nconst s2 = spr.sample(3, true)\n\n// s1 = [ 1, 4, 2 ]\n// s2 = [ 3, 4, 3 ]\n```\n\n## 🧮 Numeric Operations\n\nNumericSparray is a special type of Sparray, which all its elements are numbers. In this case, there are special operations could be performed.\n\n### sum()\nSums all the elements of the sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.sum()\n\n// 15\n```\n\n### avg()\nCalculates the average of all the elements of the sparray.\n\n```js\nconst spr = from(1, 2, 3, 4, 5)\nspr.avg()\n\n// 3\n```\n\n---\n## 📖 Table of contents\n\n- [sparray](#sparray)\n  - [🚀 Getting start](#-getting-start)\n  - [🧬 Concepts](#-concepts)\n    - [Sparrays are immutable](#sparrays-are-immutable)\n    - [Sparrays are chainable](#sparrays-are-chainable)\n    - [Sparrays are not arrays](#sparrays-are-not-arrays)\n  - [🔨 Factories](#-factories)\n    - [from()](#from)\n    - [range()](#range)\n    - [repeat()](#repeat)\n    - [empty()](#empty)\n  - [🧮 Operations](#-operations)\n    - [at()](#at)\n    - [keys()](#keys)\n    - [values()](#values)\n    - [entries()](#entries)\n    - [enumerate()](#enumerate)\n    - [length](#length)\n    - [size()](#size)\n    - [count()](#count)\n    - [isEmpty()](#isempty)\n    - [isNotEmpty()](#isnotempty)\n    - [toString()](#tostring)\n    - [toArray()](#toarray)\n    - [toSet()](#toset)\n    - [map()](#map)\n    - [flatMap()](#flatmap)\n    - [flat()](#flat)\n    - [reduce()](#reduce)\n    - [reduceRight()](#reduceright)\n    - [filter()](#filter)\n    - [forEach()](#foreach)\n    - [distinct()](#distinct)\n    - [join()](#join)\n    - [some()](#some)\n    - [every()](#every)\n    - [concat()](#concat)\n    - [find()](#find)\n    - [findIndex()](#findindex)\n    - [indexOf()](#indexof)\n    - [lastIndexOf()](#lastindexof)\n    - [includes()](#includes)\n    - [includesAll()](#includesall)\n    - [includesAny()](#includesany)\n    - [reverse()](#reverse)\n    - [first()](#first)\n    - [last()](#last)\n    - [sort()](#sort)\n    - [sortBy()](#sortby)\n    - [min()](#min)\n    - [max()](#max)\n    - [minBy()](#minby)\n    - [maxBy()](#maxby)\n    - [slice()](#slice)\n    - [indexBy()](#indexby)\n    - [groupBy()](#groupby)\n    - [sliding()](#sliding)\n    - [zip()](#zip)\n    - [cross()](#cross)\n    - [sample()](#sample)\n  - [🧮 Numeric Operations](#-numeric-operations)\n    - [sum()](#sum)\n    - [avg()](#avg)\n  - [📖 Table of contents](#-table-of-contents)\n","readmeFilename":"README.md","homepage":"https://github.com/pcandido/sparray#readme","repository":{"type":"git","url":"git+https://github.com/pcandido/sparray.git"},"bugs":{"url":"https://github.com/pcandido/sparray/issues"}}