Refactor getClosestMatch function to optimize Levenshtein distance calculation
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@@ -380,38 +380,8 @@ function getClosestMatch(name:string, assetPaths:{[key:string]:{path:string, ext
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return null
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}
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const perf = performance.now()
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//Levenshtein distance, old with 2d array
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const dest = (a:string, b:string) => {
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let d:Int16Array[] = []
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for(let i=0;i<a.length+1;i++){
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d.push(new Int16Array(b.length+1))
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}
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for(let i=0;i<=a.length;i++){
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d[i][0] = i
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}
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for(let i=0;i<=b.length;i++){
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d[0][i] = i
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}
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for(let i=1; i<=a.length; i++){
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for(let j=1;j<=b.length;j++){
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d[i][j] = Math.min(
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d[i-1][j-1] + (a.charAt(i-1)===b.charAt(j-1) ? 0 : 1),
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d[i-1][j]+1, d[i][j-1]+1
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)
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}
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}
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return d[a.length][b.length];
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}
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//Levenshtein distance, new with 1d array
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const dest2 = (a:string, b:string) => {
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const dest = (a:string, b:string) => {
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const h = a.length + 1
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const w = b.length + 1
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let d = new Int16Array(h * w)
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@@ -449,7 +419,7 @@ function getClosestMatch(name:string, assetPaths:{[key:string]:{path:string, ext
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let closestDist = 999999
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const trimmedName = trimmer(name)
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for(const key in assetPaths){
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const dist = dest2(trimmedName, trimmer(key))
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const dist = dest(trimmedName, trimmer(key))
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if(dist < closestDist){
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closest = key
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closestDist = dist
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