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* chore: Switch to Node 20 + Vitest * chore: migrate to vitest mock functions * chore: code style (switch to prettier) * test: re-enable long-running test Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime! see #1193 * chore: code style * chore: fix failing tests * Updated Documentation in README.md * Update contribution guidelines to state usage of Prettier * fix: set prettier printWidth back to 80 * chore: apply updated code style automatically * fix: set prettier line endings to lf again * chore: apply updated code style automatically --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
116 lines
3.0 KiB
JavaScript
116 lines
3.0 KiB
JavaScript
/**
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* @function Timsort is a hybrid stable sorting algorithm, derived from merge sort and insertion sort,
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* designed to perform well on many kinds of real-world data.
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* It was implemented by Tim Peters in 2002 for use in the Python programming language.
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* It is also used to sort arrays of non-primitive type in Java SE 7,
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* on the Android platform, in GNU Octave, on V8, Swift and Rust.
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* 1) It sorts small partitions using Insertion Sort.
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* 2) Merges the partition using Merge Sort.
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* @see [Timsort](https://en.wikipedia.org/wiki/Timsort)
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* @param {Array} array
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*/
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const Timsort = (array) => {
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// Default size of a partition
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const RUN = 32
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const n = array.length
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// Sorting the partitions using Insertion Sort
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for (let i = 0; i < n; i += RUN) {
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InsertionSort(array, i, Math.min(i + RUN - 1, n - 1))
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}
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for (let size = RUN; size < n; size *= 2) {
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for (let left = 0; left < n; left += 2 * size) {
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const mid = left + size - 1
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const right = Math.min(left + 2 * size - 1, n - 1)
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Merge(array, left, mid, right)
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}
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}
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return array
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}
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/**
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* @function performs insertion sort on the partition
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* @param {Array} array array to be sorted
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* @param {Number} left left index of partition
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* @param {Number} right right index of partition
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*/
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const InsertionSort = (array, left, right) => {
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for (let i = left + 1; i <= right; i++) {
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const key = array[i]
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let j = i - 1
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while (j >= left && array[j] > key) {
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array[j + 1] = array[j]
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j--
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}
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array[j + 1] = key
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}
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}
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/**
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* @function merges two sorted partitions
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* @param {Array} array array to be sorted
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* @param {Number} left left index of partition
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* @param {Number} mid mid index of partition
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* @param {Number} right right index of partition
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*/
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const Merge = (array, left, mid, right) => {
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if (mid >= right) return
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const len1 = mid - left + 1
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const len2 = right - mid
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const larr = Array(len1)
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const rarr = Array(len2)
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for (let i = 0; i < len1; i++) {
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larr[i] = array[left + i]
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}
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for (let i = 0; i < len2; i++) {
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rarr[i] = array[mid + 1 + i]
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}
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let i = 0
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let j = 0
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let k = left
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while (i < larr.length && j < rarr.length) {
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if (larr[i] < rarr[j]) {
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array[k++] = larr[i++]
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} else {
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array[k++] = rarr[j++]
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}
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}
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while (i < larr.length) {
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array[k++] = larr[i++]
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}
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while (j < rarr.length) {
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array[k++] = rarr[j++]
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}
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}
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/**
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* @example Test of Timsort functions.
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* Data is randomly generated.
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* Return "RIGHT" if it works as expected,
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* otherwise "FAULTY"
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*/
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const demo = () => {
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const size = 1000000
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const data = Array(size)
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for (let i = 0; i < size; i++) {
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data[i] = Math.random() * Number.MAX_SAFE_INTEGER
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}
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const isSorted = function (array) {
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const n = array.length
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for (let i = 0; i < n - 1; i++) {
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if (array[i] > array[i + 1]) return false
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}
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return true
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}
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Timsort(data)
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if (isSorted(data)) {
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return 'RIGHT'
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} else {
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return 'FAULTY'
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}
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}
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export { Timsort, demo }
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