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https://github.com/JamesIves/github-pages-deploy-action.git
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86 lines
2.3 KiB
Plaintext
86 lines
2.3 KiB
Plaintext
// @flow strict
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/**
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* Given an invalid input string and a list of valid options, returns a filtered
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* list of valid options sorted based on their similarity with the input.
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*/
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export default function suggestionList(
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input: string,
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options: $ReadOnlyArray<string>,
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): Array<string> {
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const optionsByDistance = Object.create(null);
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const inputThreshold = input.length / 2;
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for (const option of options) {
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const distance = lexicalDistance(input, option);
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const threshold = Math.max(inputThreshold, option.length / 2, 1);
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if (distance <= threshold) {
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optionsByDistance[option] = distance;
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}
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}
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return Object.keys(optionsByDistance).sort((a, b) => {
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const distanceDiff = optionsByDistance[a] - optionsByDistance[b];
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return distanceDiff !== 0 ? distanceDiff : a.localeCompare(b);
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});
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}
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/**
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* Computes the lexical distance between strings A and B.
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*
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* The "distance" between two strings is given by counting the minimum number
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* of edits needed to transform string A into string B. An edit can be an
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* insertion, deletion, or substitution of a single character, or a swap of two
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* adjacent characters.
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*
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* Includes a custom alteration from Damerau-Levenshtein to treat case changes
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* as a single edit which helps identify mis-cased values with an edit distance
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* of 1.
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*
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* This distance can be useful for detecting typos in input or sorting
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*
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* @param {string} a
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* @param {string} b
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* @return {int} distance in number of edits
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*/
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function lexicalDistance(aStr, bStr) {
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if (aStr === bStr) {
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return 0;
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}
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const d = [];
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const a = aStr.toLowerCase();
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const b = bStr.toLowerCase();
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const aLength = a.length;
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const bLength = b.length;
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// Any case change counts as a single edit
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if (a === b) {
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return 1;
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}
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for (let i = 0; i <= aLength; i++) {
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d[i] = [i];
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}
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for (let j = 1; j <= bLength; j++) {
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d[0][j] = j;
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}
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for (let i = 1; i <= aLength; i++) {
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for (let j = 1; j <= bLength; j++) {
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const cost = a[i - 1] === b[j - 1] ? 0 : 1;
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d[i][j] = Math.min(
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d[i - 1][j] + 1,
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d[i][j - 1] + 1,
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d[i - 1][j - 1] + cost,
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);
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if (i > 1 && j > 1 && a[i - 1] === b[j - 2] && a[i - 2] === b[j - 1]) {
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d[i][j] = Math.min(d[i][j], d[i - 2][j - 2] + cost);
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}
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}
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}
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return d[aLength][bLength];
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}
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