Files
JavaScript/Dynamic-Programming/LevenshteinDistance.js
Roland Hummel 86d333ee94 feat: Test running overhaul, switch to Prettier & reformat everything (#1407)
* 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

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Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
2023-10-04 02:38:19 +05:30

52 lines
1.2 KiB
JavaScript

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