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Improved frontend for activity logs
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@@ -0,0 +1,346 @@
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/**
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*
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* @param textOld - old secret
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* @param textNew - new (updated) secret
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* @param diffPlusFlag - a flag for whether we want to detect moving segments
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* - doesn't work in some examples (e.g., when we have a full reverse ordering of the text)
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* @returns
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*/
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function patienceDiff(textOld: string[], textNew: string[], diffPlusFlag?: boolean) {
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/**
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* findUnique finds all unique values in arr[lo..hi], inclusive. This
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* function is used in preparation for determining the longest common
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* subsequence. Specifically, it first reduces the array range in question
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* to unique values.
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* @param chars - an array of characters
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* @param lo
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* @param hi
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* @returns - an ordered Map, with the arr[i] value as the Map key and the
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* array index i as the Map value.
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*/
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function findUnique(chars: string[], lo: number, hi: number) {
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const characterMap = new Map();
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for (let i=lo; i<=hi; i++) {
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const character = chars[i];
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if (characterMap.has(character)) {
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characterMap.get(character).count++;
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characterMap.get(character).index = i;
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} else {
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characterMap.set(character, { count: 1, index: i });
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}
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}
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characterMap.forEach((val, key, map) => {
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if (val.count !== 1) {
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map.delete(key);
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} else {
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map.set(key, val.index);
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}
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});
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return characterMap;
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}
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/**
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* @param aArray
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* @param aLo
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* @param aHi
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* @param bArray
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* @param bLo
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* @param bHi
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* @returns an ordered Map, with the Map key as the common line between aArray
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* and bArray, with the Map value as an object containing the array indexes of
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* the matching unique lines.
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*
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*/
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function uniqueCommon(aArray: string[], aLo: number, aHi: number, bArray: string[], bLo: number, bHi: number) {
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const ma = findUnique(aArray, aLo, aHi);
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const mb = findUnique(bArray, bLo, bHi);
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ma.forEach((val, key, map) => {
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if (mb.has(key)) {
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map.set(key, {
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indexA: val,
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indexB: mb.get(key)
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});
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} else {
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map.delete(key);
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}
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});
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return ma;
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}
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/**
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* longestCommonSubsequence takes an ordered Map from the function uniqueCommon
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* and determines the Longest Common Subsequence (LCS).
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* @param abMap
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* @returns an ordered array of objects containing the array indexes of the
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* matching lines for a LCS.
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*/
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function longestCommonSubsequence(abMap: Map<number, { indexA: number, indexB: number, prev?: number }>) {
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const ja: any = [];
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// First, walk the list creating the jagged array.
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abMap.forEach((val, key, map) => {
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let i = 0;
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while (ja[i] && ja[i][ja[i].length - 1].indexB < val.indexB) {
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i++;
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}
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if (!ja[i]) {
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ja[i] = [];
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}
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if (0 < i) {
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val.prev = ja[i-1][ja[i - 1].length - 1];
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}
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ja[i].push(val);
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});
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// Now, pull out the longest common subsequence.
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let lcs: any[] = [];
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if (0 < ja.length) {
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const n = ja.length - 1;
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lcs = [ja[n][ja[n].length - 1]];
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while (lcs[lcs.length - 1].prev) {
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lcs.push(lcs[lcs.length - 1].prev);
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}
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}
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return lcs.reverse();
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}
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// "result" is the array used to accumulate the textOld that are deleted, the
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// lines that are shared between textOld and textNew, and the textNew that were
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// inserted.
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const result: any[] = [];
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let deleted = 0;
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let inserted = 0;
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// aMove and bMove will contain the lines that don't match, and will be returned
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// for possible searching of lines that moved.
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const aMove: any[] = [];
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const aMoveIndex: any[] = [];
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const bMove: any[] = [];
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const bMoveIndex: any[] = [];
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/**
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* addToResult simply pushes the latest value onto the "result" array. This
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* array captures the diff of the line, aIndex, and bIndex from the textOld
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* and textNew array.
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* @param aIndex
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* @param bIndex
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*/
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function addToResult(aIndex: number, bIndex: number) {
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if (bIndex < 0) {
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aMove.push(textOld[aIndex]);
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aMoveIndex.push(result.length);
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deleted++;
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} else if (aIndex < 0) {
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bMove.push(textNew[bIndex]);
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bMoveIndex.push(result.length);
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inserted++;
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}
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result.push({
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line: 0 <= aIndex ? textOld[aIndex] : textNew[bIndex],
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aIndex: aIndex,
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bIndex: bIndex,
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});
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}
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/**
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* addSubMatch handles the lines between a pair of entries in the LCS. Thus,
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* this function might recursively call recurseLCS to further match the lines
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* between textOld and textNew.
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* @param aLo
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* @param aHi
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* @param bLo
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* @param bHi
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*/
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function addSubMatch(aLo: number, aHi: number, bLo: number, bHi: number) {
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// Match any lines at the beginning of textOld and textNew.
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while (aLo <= aHi && bLo <= bHi && textOld[aLo] === textNew[bLo]) {
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addToResult(aLo++, bLo++);
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}
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// Match any lines at the end of textOld and textNew, but don't place them
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// in the "result" array just yet, as the lines between these matches at
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// the beginning and the end need to be analyzed first.
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const aHiTemp = aHi;
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while (aLo <= aHi && bLo <= bHi && textOld[aHi] === textNew[bHi]) {
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aHi--;
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bHi--;
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}
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// Now, check to determine with the remaining lines in the subsequence
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// whether there are any unique common lines between textOld and textNew.
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//
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// If not, add the subsequence to the result (all textOld having been
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// deleted, and all textNew having been inserted).
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//
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// If there are unique common lines between textOld and textNew, then let's
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// recursively perform the patience diff on the subsequence.
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const uniqueCommonMap = uniqueCommon(textOld, aLo, aHi, textNew, bLo, bHi);
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if (uniqueCommonMap.size === 0) {
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while (aLo <= aHi) {
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addToResult(aLo++, -1);
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}
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while (bLo <= bHi) {
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addToResult(-1, bLo++);
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}
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} else {
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recurseLCS(aLo, aHi, bLo, bHi, uniqueCommonMap);
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}
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// Finally, let's add the matches at the end to the result.
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while (aHi < aHiTemp) {
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addToResult(++aHi, ++bHi);
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}
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}
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/**
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* recurseLCS finds the longest common subsequence (LCS) between the arrays
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* textOld[aLo..aHi] and textNew[bLo..bHi] inclusive. Then for each subsequence
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* recursively performs another LCS search (via addSubMatch), until there are
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* none found, at which point the subsequence is dumped to the result.
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* @param aLo
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* @param aHi
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* @param bLo
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* @param bHi
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* @param uniqueCommonMap
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*/
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function recurseLCS(aLo: number, aHi: number, bLo: number, bHi: number, uniqueCommonMap?: any) {
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const x = longestCommonSubsequence(uniqueCommonMap || uniqueCommon(textOld, aLo, aHi, textNew, bLo, bHi));
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if (x.length === 0) {
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addSubMatch(aLo, aHi, bLo, bHi);
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} else {
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if (aLo < x[0].indexA || bLo < x[0].indexB) {
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addSubMatch(aLo, x[0].indexA - 1, bLo, x[0].indexB - 1);
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}
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let i;
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for (i = 0; i < x.length - 1; i++) {
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addSubMatch(x[i].indexA, x[i+1].indexA - 1, x[i].indexB, x[i+1].indexB - 1);
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}
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if (x[i].indexA <= aHi || x[i].indexB <= bHi) {
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addSubMatch(x[i].indexA, aHi, x[i].indexB, bHi);
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}
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}
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}
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recurseLCS(0, textOld.length - 1, 0, textNew.length - 1);
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if (diffPlusFlag) {
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return {
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lines: result,
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lineCountDeleted: deleted,
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lineCountInserted: inserted,
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lineCountMoved: 0,
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aMove: aMove,
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aMoveIndex: aMoveIndex,
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bMove: bMove,
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bMoveIndex: bMoveIndex,
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};
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}
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return {
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lines: result,
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lineCountDeleted: deleted,
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lineCountInserted: inserted,
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lineCountMoved: 0,
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};
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}
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/**
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* use: patienceDiffPlus( textOld[], textNew[] )
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*
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* where:
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* textOld[] contains the original text lines.
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* textNew[] contains the new text lines.
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*
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* returns an object with the following properties:
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* lines[] with properties of:
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* line containing the line of text from textOld or textNew.
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* aIndex referencing the index in aLine[].
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* bIndex referencing the index in textNew[].
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* (Note: The line is text from either textOld or textNew, with aIndex and bIndex
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* referencing the original index. If aIndex === -1 then the line is new from textNew,
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* and if bIndex === -1 then the line is old from textOld.)
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* moved is true if the line was moved from elsewhere in textOld[] or textNew[].
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* lineCountDeleted is the number of lines from textOld[] not appearing in textNew[].
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* lineCountInserted is the number of lines from textNew[] not appearing in textOld[].
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* lineCountMoved is the number of lines that moved.
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*/
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function patienceDiffPlus(textOld: string[], textNew: string[]) {
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const difference = patienceDiff(textOld, textNew, true);
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let aMoveNext = difference.aMove;
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let aMoveIndexNext = difference.aMoveIndex;
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let bMoveNext = difference.bMove;
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let bMoveIndexNext = difference.bMoveIndex;
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delete difference.aMove;
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delete difference.aMoveIndex;
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delete difference.bMove;
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delete difference.bMoveIndex;
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let lastLineCountMoved;
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do {
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const aMove = aMoveNext;
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const aMoveIndex = aMoveIndexNext;
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const bMove = bMoveNext;
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const bMoveIndex = bMoveIndexNext;
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aMoveNext = [];
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aMoveIndexNext = [];
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bMoveNext = [];
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bMoveIndexNext = [];
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const subDiff = patienceDiff(aMove!, bMove!);
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lastLineCountMoved = difference.lineCountMoved;
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subDiff.lines.forEach((v, i) => {
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if (0 <= v.aIndex && 0 <= v.bIndex) {
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difference.lines[aMoveIndex![v.aIndex]].moved = true;
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difference.lines[bMoveIndex![v.bIndex]].aIndex = aMoveIndex![v.aIndex];
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difference.lines[bMoveIndex![v.bIndex]].moved = true;
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difference.lineCountInserted--;
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difference.lineCountDeleted--;
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difference.lineCountMoved++;
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} else if (v.bIndex < 0) {
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aMoveNext!.push(aMove![v.aIndex]);
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aMoveIndexNext!.push(aMoveIndex![v.aIndex]);
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} else {
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bMoveNext!.push(bMove![v.bIndex]);
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bMoveIndexNext!.push(bMoveIndex![v.bIndex]);
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}
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});
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} while (0 < difference.lineCountMoved - lastLineCountMoved);
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return difference;
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}
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export default patienceDiff;
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