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➤微信公众号:山青咏芝(shanqingyongzhi)
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➤原文地址:https://www.cnblogs.com/strengthen/p/11014399.html
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Given two strings str1
and str2
, return the shortest string that has both str1
and str2
as subsequences. If multiple answers exist, you may return any of them.
(A string S is a subsequence of string T if deleting some number of characters from T (possibly 0, and the characters are chosen anywhere from T) results in the string S.)
Example 1:
Input: str1 = "abac", str2 = "cab"
Output: "cabac"
Explanation:
str1 = "abac" is a substring of "cabac" because we can delete the first "c".
str2 = "cab" is a substring of "cabac" because we can delete the last "ac".
The answer provided is the shortest such string that satisfies these properties.
Note:
1 <= str1.length, str2.length <= 1000
str1
andstr2
consist of lowercase English letters.
给出两个字符串 str1
和 str2
,返回同时以 str1
和 str2
作为子序列的最短字符串。如果答案不止一个,则可以返回满足条件的任意一个答案。
(如果从字符串 T 中删除一些字符(也可能不删除,并且选出的这些字符可以位于 T 中的 任意位置),可以得到字符串 S,那么 S 就是 T 的子序列)
示例:
输入:str1 = "abac", str2 = "cab" 输出:"cabac" 解释: str1 = "abac" 是 "cabac" 的一个子串,因为我们可以删去 "cabac" 的第一个 "c"得到 "abac"。 str2 = "cab" 是 "cabac" 的一个子串,因为我们可以删去 "cabac" 末尾的 "ac" 得到 "cab"。 最终我们给出的答案是满足上述属性的最短字符串。
提示:
1 <= str1.length, str2.length <= 1000
str1
和str2
都由小写英文字母组成。
1 class Solution { 2 func shortestCommonSupersequence(_ str1: String, _ str2: String) -> String { 3 let matrix = lcsLength(str1, str2) 4 let comSubseq = backtrack(matrix, str1, str2) 5 var chars1 = Array(str1) 6 var chars2 = Array(str2) 7 var i = 0 8 var j = 0 9 var result = "" 10 for c in comSubseq { 11 while chars1[i] != c { 12 result += String(chars1[i]) 13 i += 1 14 } 15 i += 1 16 while chars2[j] != c { 17 result += String(chars2[j]) 18 j += 1 19 } 20 j += 1 21 result += String(c) 22 } 23 while i < chars1.count { 24 result += String(chars1[i]) 25 i += 1 26 } 27 while j < chars2.count { 28 result += String(chars2[j]) 29 j += 1 30 } 31 return result 32 } 33 34 35 fileprivate func lcsLength(_ str1: String, _ str2: String) -> [[Int]] { 36 37 var matrix = [[Int]](repeating: [Int](repeating: 0, count: str2.count+1), count: str1.count+1) 38 for (i, str1Char) in str1.enumerated() { 39 for (j, str2Char) in str2.enumerated() { 40 if str2Char == str1Char { 41 matrix[i+1][j+1] = matrix[i][j] + 1 42 } else { 43 matrix[i+1][j+1] = max(matrix[i][j+1], matrix[i+1][j]) 44 } 45 } 46 } 47 return matrix 48 } 49 50 51 fileprivate func backtrack(_ matrix: [[Int]], _ str1:String, _ str2: String) -> String { 52 var i = str1.count 53 var j = str2.count 54 var charInSequence = str1.endIndex 55 var lcs = String() 56 while i >= 1 && j >= 1 { 57 if matrix[i][j] == matrix[i][j - 1] { 58 j -= 1 59 } else if matrix[i][j] == matrix[i - 1][j] { 60 i -= 1 61 charInSequence = str1.index(before: charInSequence) 62 } else { 63 i -= 1 64 j -= 1 65 charInSequence = str1.index(before: charInSequence) 66 lcs.append(str1[charInSequence]) 67 } 68 } 69 return String(lcs.reversed()) 70 } 71 }
Runtime: 528 ms
1 class Solution { 2 var dp:[[Int]] = [[Int]](repeating:[Int](repeating:-1,count:1010),count:1010) 3 var s1:[Character] = [Character]() 4 var s2:[Character] = [Character]() 5 6 func shortestCommonSupersequence(_ str1: String, _ str2: String) -> String { 7 self.s1 = Array(str1) 8 self.s2 = Array(str2) 9 var r:String = String() 10 rec(0, 0, &r) 11 return r 12 } 13 14 func dfs(_ x:Int,_ y:Int) -> Int 15 { 16 if x == s1.count && y == s2.count 17 { 18 return 0 19 } 20 if dp[x][y] != -1 {return dp[x][y]} 21 var ans:Int = Int(1e9) 22 if x < s1.count 23 { 24 ans = min(ans, dfs(x+1, y) + 1) 25 } 26 if y < s2.count 27 { 28 ans = min(ans, dfs(x, y+1) + 1) 29 } 30 if x < s1.count && y < s2.count && s1[x] == s2[y] 31 { 32 ans = min(ans, dfs(x+1, y+1) + 1) 33 } 34 dp[x][y] = ans 35 return ans 36 } 37 38 func rec(_ x:Int,_ y:Int,_ r:inout String) 39 { 40 if x == s1.count && y == s2.count 41 { 42 return 43 } 44 if x < s1.count 45 { 46 if dfs(x+1, y) + 1 == dfs(x,y) 47 { 48 r.append(s1[x]) 49 rec(x+1, y, &r) 50 return 51 } 52 } 53 if y < s2.count 54 { 55 if dfs(x, y+1) + 1 == dfs(x,y) 56 { 57 r.append(s2[y]) 58 rec(x, y+1, &r) 59 return 60 } 61 } 62 if x < s1.count && y < s2.count && s1[x] == s2[y] 63 { 64 if dfs(x+1, y+1) + 1 == dfs(x,y) 65 { 66 r.append(s2[y]) 67 rec(x+1, y+1, &r) 68 return 69 } 70 } 71 return 72 } 73 }