LeetCode 1061. Lexicographically Smallest Equivalent String

原题链接在这里:https://leetcode.com/problems/lexicographically-smallest-equivalent-string/

题目:

Given strings A and B of the same length, we say A[i] and B[i] are equivalent characters. For example, if A = "abc" and B = "cde", then we have 'a' == 'c', 'b' == 'd', 'c' == 'e'.

Equivalent characters follow the usual rules of any equivalence relation:

  • Reflexivity: 'a' == 'a'
  • Symmetry: 'a' == 'b' implies 'b' == 'a'
  • Transitivity: 'a' == 'b' and 'b' == 'c' implies 'a' == 'c'

For example, given the equivalency information from A and B above, S = "eed""acd", and "aab" are equivalent strings, and "aab" is the lexicographically smallest equivalent string of S.

Return the lexicographically smallest equivalent string of S by using the equivalency information from A and B.

Example 1:

Input: A = "parker", B = "morris", S = "parser"
Output: "makkek"
Explanation: Based on the equivalency information in A and B, we can group their characters as [m,p], [a,o], [k,r,s], [e,i]. The characters in each group are equivalent and sorted in lexicographical order. So the answer is "makkek".

Example 2:

Input: A = "hello", B = "world", S = "hold"
Output: "hdld"
Explanation:  Based on the equivalency information in A and B, we can group their characters as [h,w], [d,e,o], [l,r]. So only the second letter 'o' in S is changed to 'd', the answer is "hdld".

Example 3:

Input: A = "leetcode", B = "programs", S = "sourcecode"
Output: "aauaaaaada"
Explanation:  We group the equivalent characters in A and B as [a,o,e,r,s,c], [l,p], [g,t] and [d,m], thus all letters in S except 'u' and 'd' are transformed to 'a', the answer is "aauaaaaada".

Note:

  1. String AB and S consist of only lowercase English letters from 'a''z'.
  2. The lengths of string AB and S are between 1 and 1000.
  3. String A and B are of the same length.

题解:

A and B are equal, for each index, the corresponding character in A and B should be in the same union.

When do the union, union by rank. a<c, a is c's parent.

Later, for each character of S, find its ancestor and append it to result.

Time Complexity: O((m+n)logm). m = A.length(), n = S.length(). find takes O(logm). 

With path compression and union by rank, amatorize O(1).

Space: O(m).

AC Java:

 1 class Solution {
 2     Map<Character, Character> parent = new HashMap<>();
 3     
 4     public String smallestEquivalentString(String A, String B, String S) {
 5         for(int i = 0; i<A.length(); i++){
 6             char a = A.charAt(i);
 7             char b = B.charAt(i);
 8             
 9             if(find(a) != find(b)){
10                 union(a, b);
11             }
12         }
13         
14         StringBuilder sb = new StringBuilder();
15         for(int i = 0; i<S.length(); i++){
16             char anc = find(S.charAt(i));
17             sb.append(anc);
18         }
19         
20         return sb.toString();
21     }
22     
23     private char find(char c){
24         parent.putIfAbsent(c, c);
25         if(c != parent.get(c)){
26             char anc = find(parent.get(c));
27             parent.put(c, anc);
28         }
29         
30         return parent.get(c);
31     }
32     
33     private void union(char a, char b){
34         char c1 = find(a);
35         char c2 = find(b);
36         if(c1 < c2){
37             parent.put(c2, c1);
38         }else{
39             parent.put(c1, c2);
40         }
41     }
42 }

 

posted @ 2019-08-04 08:08  Dylan_Java_NYC  阅读(1135)  评论(0编辑  收藏  举报