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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>
61 lines
2.2 KiB
JavaScript
61 lines
2.2 KiB
JavaScript
/**
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* BucketSort implementation.
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*
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* Wikipedia says: Bucket sort, or bin sort, is a sorting algorithm that works by distributing the elements of an array
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* into a number of buckets. Each bucket is then sorted individually, either using a different sorting algorithm, or by
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* recursively applying the bucket sorting algorithm. It is a distribution sort, and is a cousin of radix sort in the
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* most to least significant digit flavour. Bucket sort is a generalization of pigeonhole sort. Bucket sort can be
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* implemented with comparisons and therefore can also be considered a comparison sort algorithm. The computational
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* complexity estimates involve the number of buckets.
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*
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* @see https://en.wikipedia.org/wiki/Bucket_sort#:~:text=Bucket%20sort%2C%20or%20bin%20sort,applying%20the%20bucket%20sorting%20algorithm.&text=Sort%20each%20non%2Dempty%20bucket.
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*
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* Time Complexity of Solution:
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* Best Case O(n); Average Case O(n); Worst Case O(n)
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*
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* @param {number[]} list The array of numbers to be sorted.
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* @param {number} size The size of the buckets used. If not provided, size will be 5.
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* @return {number[]} An array of numbers sorted in increasing order.
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*/
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export function bucketSort(list, size) {
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if (undefined === size) {
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size = 5
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}
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if (list.length === 0) {
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return list
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}
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let min = list[0]
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let max = list[0]
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// find min and max
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for (let iList = 0; iList < list.length; iList++) {
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if (list[iList] < min) {
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min = list[iList]
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} else if (list[iList] > max) {
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max = list[iList]
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}
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}
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// how many buckets we need
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const count = Math.floor((max - min) / size) + 1
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// create buckets
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const buckets = []
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for (let iCount = 0; iCount < count; iCount++) {
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buckets.push([])
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}
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// bucket fill
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for (let iBucket = 0; iBucket < list.length; iBucket++) {
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const key = Math.floor((list[iBucket] - min) / size)
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buckets[key].push(list[iBucket])
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}
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const sorted = []
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// now sort every bucket and merge it to the sorted list
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for (let iBucket = 0; iBucket < buckets.length; iBucket++) {
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const arr = buckets[iBucket].sort((a, b) => a - b)
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for (let iSorted = 0; iSorted < arr.length; iSorted++) {
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sorted.push(arr[iSorted])
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}
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}
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return sorted
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}
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