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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>
52 lines
1.2 KiB
JavaScript
52 lines
1.2 KiB
JavaScript
/**
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* @function calculateLevenshteinDp
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* @description A Dynamic Programming based solution for calculation of the Levenshtein Distance.
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* @param {String} x - Word to be converted.
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* @param {String} y - Desired result after operations.
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* @return {Integer} The Levenshtein distance between x and y.
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* @see [Levenshtein_distance](https://en.wikipedia.org/wiki/Levenshtein_distance)
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*/
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function minimum(a, b, c) {
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if (a < b && a < c) {
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return a
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} else if (b < a && b < c) {
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return b
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} else {
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return c
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}
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}
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function costOfSubstitution(x, y) {
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return x === y ? 0 : 1
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}
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// Levenshtein distance between x and y
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function calculateLevenshteinDp(x, y) {
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const dp = new Array(x.length + 1)
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for (let i = 0; i < x.length + 1; i++) {
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dp[i] = new Array(y.length + 1)
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}
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for (let i = 0; i < x.length + 1; i++) {
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for (let j = 0; j < y.length + 1; j++) {
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if (i === 0) {
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dp[i][j] = j
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} else if (j === 0) {
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dp[i][j] = i
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} else {
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dp[i][j] = minimum(
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dp[i - 1][j - 1] +
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costOfSubstitution(x.charAt(i - 1), y.charAt(j - 1)),
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dp[i - 1][j] + 1,
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dp[i][j - 1] + 1
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)
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}
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}
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}
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return dp[x.length][y.length]
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}
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export { calculateLevenshteinDp }
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