Files
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

55 lines
1.3 KiB
JavaScript

/*
Wikipedia -> https://en.wikipedia.org/wiki/Edit_distance
Q. -> Given two strings `word1` and `word2`. You can perform these operations on any of the string to make both strings similar.
- Insert
- Remove
- Replace
Find the minimum operation cost required to make both same. Each operation cost is 1.
Algorithm details ->
time complexity - O(n*m)
space complexity - O(n*m)
*/
const minimumEditDistance = (word1, word2) => {
const n = word1.length
const m = word2.length
const dp = new Array(m + 1).fill(0).map((item) => [])
/*
fill dp matrix with default values -
- first row is filled considering no elements in word2.
- first column filled considering no elements in word1.
*/
for (let i = 0; i < n + 1; i++) {
dp[0][i] = i
}
for (let i = 0; i < m + 1; i++) {
dp[i][0] = i
}
/*
indexing is 1 based for dp matrix as we defined some known values at first row and first column/
*/
for (let i = 1; i < m + 1; i++) {
for (let j = 1; j < n + 1; j++) {
const letter1 = word1[j - 1]
const letter2 = word2[i - 1]
if (letter1 === letter2) {
dp[i][j] = dp[i - 1][j - 1]
} else {
dp[i][j] = Math.min(dp[i - 1][j], dp[i - 1][j - 1], dp[i][j - 1]) + 1
}
}
}
return dp[m][n]
}
export { minimumEditDistance }