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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>
34 lines
977 B
JavaScript
34 lines
977 B
JavaScript
/* The Jump Search algorithm allows to combine a linear search with a speed optimization.
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* This means that instead of going 1 by 1, we will increase the step of √n and increase that
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* step of √n which make the step getting bigger and bigger.
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* The asymptotic analysis of Jump Search is o(√n). Like the binary search, it needs to be sorted.
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* The advantage against binary search is that Jump Search traversed back only once.
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*/
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const jumpSearch = (arr, value) => {
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const length = arr.length
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let step = Math.floor(Math.sqrt(length))
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let lowerBound = 0
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while (arr[Math.min(step, length) - 1] < value) {
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lowerBound = step
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step += step
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if (lowerBound >= length) {
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return -1
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}
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}
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const upperBound = Math.min(step, length)
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while (arr[lowerBound] < value) {
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lowerBound++
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if (lowerBound === upperBound) {
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return -1
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}
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}
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if (arr[lowerBound] === value) {
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return lowerBound
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}
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return -1
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}
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export { jumpSearch }
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