* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
2.8 KiB
id, title, challengeType, forumTopicId, dashedName
id | title | challengeType | forumTopicId | dashedName |
---|---|---|---|---|
5e4ce2eaac708cc68c1df260 | Levenshtein distance | 5 | 385264 | levenshtein-distance |
--description--
In information theory and computer science, the Levenshtein distance is a metric for measuring the amount of difference between two sequences (i.e. an edit distance). The Levenshtein distance between two strings is defined as the minimum number of edits needed to transform one string into the other, with the allowable edit operations being insertion, deletion, or substitution of a single character.
Example:
The Levenshtein distance between "kitten" and "sitting" is 3, since the following three edits change one into the other, and there isn't a way to do it with fewer than three edits:
- kitten sitten (substitution of 'k' with 's')
- sitten sittin (substitution of 'e' with 'i')
- sittin sitting (insert 'g' at the end).
The Levenshtein distance between "rosettacode", "raisethysword" is 8.
The distance between two strings is same as that when both strings are reversed.
--instructions--
Write a function that returns the Levenshtein distance between two strings given as parameters.
--hints--
levenshtein
should be a function.
assert(typeof levenshtein == 'function');
levenshtein("mist", "dist")
should return a number.
assert(typeof levenshtein('mist', 'dist') == 'number');
levenshtein("mist", "dist")
should return 1
.
assert.equal(levenshtein('mist', 'dist'), 1);
levenshtein("tier", "tor")
should return 2
.
assert.equal(levenshtein('tier', 'tor'), 2);
levenshtein("kitten", "sitting")
should return 3
.
assert.equal(levenshtein('kitten', 'sitting'), 3);
levenshtein("stop", "tops")
should return 2
.
assert.equal(levenshtein('stop', 'tops'), 2);
levenshtein("rosettacode", "raisethysword")
should return 8
.
assert.equal(levenshtein('rosettacode', 'raisethysword'), 8);
levenshtein("mississippi", "swiss miss")
should return 8
.
assert.equal(levenshtein('mississippi', 'swiss miss'), 8);
--seed--
--seed-contents--
function levenshtein(a, b) {
}
--solutions--
function levenshtein(a, b) {
var t = [], u, i, j, m = a.length, n = b.length;
if (!m) { return n; }
if (!n) { return m; }
for (j = 0; j <= n; j++) { t[j] = j; }
for (i = 1; i <= m; i++) {
for (u = [i], j = 1; j <= n; j++) {
u[j] = a[i - 1] === b[j - 1] ? t[j - 1] : Math.min(t[j - 1], t[j], u[j - 1]) + 1;
} t = u;
} return u[n];
}