题目
你将会得到一份单词表 words,一个字母表 letters (可能会有重复字母),以及每个字母对应的得分情况表 score。
请你帮忙计算玩家在单词拼写游戏中所能获得的「最高得分」:能够由 letters 里的字母拼写出的 任意 属于 words 单词子集中,分数最高的单词集合的得分。
单词拼写游戏的规则概述如下:
玩家需要用字母表 letters 里的字母来拼写单词表 words 中的单词。
可以只使用字母表 letters 中的部分字母,但是每个字母最多被使用一次。
单词表 words 中每个单词只能计分(使用)一次。
根据字母得分情况表score,字母 'a', 'b', 'c', ... , 'z' 对应的得分分别为 score[0], score[1], ..., score[25]。
本场游戏的「得分」是指:玩家所拼写出的单词集合里包含的所有字母的得分之和。
示例 1:
输入:words = ["dog","cat","dad","good"], letters = ["a","a","c","d","d","d","g","o","o"], score = [1,0,9,5,0,0,3,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0]
输出:23
解释:
字母得分为 a=1, c=9, d=5, g=3, o=2
使用给定的字母表 letters,我们可以拼写单词 "dad" (5+1+5)和 "good" (3+2+2+5),得分为 23 。
而单词 "dad" 和 "dog" 只能得到 21 分。
示例 2:
输入:words = ["xxxz","ax","bx","cx"], letters = ["z","a","b","c","x","x","x"], score = [4,4,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,10]
输出:27
解释:
字母得分为 a=4, b=4, c=4, x=5, z=10
使用给定的字母表 letters,我们可以组成单词 "ax" (4+5), "bx" (4+5) 和 "cx" (4+5) ,总得分为 27 。
单词 "xxxz" 的得分仅为 25 。
示例 3:
输入:words = ["leetcode"], letters = ["l","e","t","c","o","d"], score = [0,0,1,1,1,0,0,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0]
输出:0
解释:
字母 "e" 在字母表 letters 中只出现了一次,所以无法组成单词表 words 中的单词。
提示:
1 <= words.length <= 14
1 <= words[i].length <= 15
1 <= letters.length <= 100
letters[i].length == 1
score.length == 26
0 <= score[i] <= 10
words[i] 和 letters[i] 只包含小写的英文字母。
解题思路
dfs,这个tle
private int maxScore = 0;
public int maxScoreWords(String[] words, char[] letters, int[] score) {
HashMap<Character,Integer> letterCountMap= new HashMap(52);
boolean[] used= new boolean[words.length];
for (char c:letters
) {
if (letterCountMap.containsKey(c))
{
int count = letterCountMap.get(c);
letterCountMap.put(c,count+1);
}
else {
letterCountMap.put(c,1);
}
}
dfs(words,letterCountMap,score,used,0);
return maxScore;
}
private void dfs(String[] words,HashMap<Character,Integer> letterCountMap,int[] score,boolean[] used,int tempMaxScore)
{
boolean isAllUse = true;
for (int i = 0; i < used.length; i++) {
if(!used[i])
{
isAllUse=false;
break;
}
}
if(isAllUse)
{
maxScore=Math.max(maxScore,tempMaxScore);
return;
}
for (int i = 0; i < words.length; i++) {
if(!used[i])
{
String word = words[i];
boolean[] newUsed= new boolean[used.length];
System.arraycopy(used, 0, newUsed, 0, used.length);
newUsed[i]=true;
HashMap<Character,Integer> newLetterCountMap = (HashMap<Character,Integer>)letterCountMap.clone();
int wordScore = getWordScore(word,newLetterCountMap,score);
if(wordScore>0)
{
tempMaxScore+=wordScore;
}
dfs(words,newLetterCountMap,score,newUsed,tempMaxScore);
if(wordScore>0)
{
tempMaxScore-=wordScore;
}
}
}
}
private int getWordScore(String word,HashMap<Character,Integer> letterCountMap, int[] score)
{
int tempScore=0;
for (int i = 0; i < word.length(); i++) {
char c=word.charAt(i);
if (letterCountMap.containsKey(c))
{
int letterCount= letterCountMap.get(c);
if(letterCount>0)
{
tempScore+=getScore(score,c);
letterCountMap.put(c,letterCount-1);
}
else
{
tempScore=0;
break;
}
}
else
{
tempScore=0;
break;
}
}
return tempScore;
}
private int getScore(int[] score,char c)
{
return score[c-'a'];
}
标签:得分,letters,int,单词,score,words,集合,letterCountMap
From: https://www.cnblogs.com/huacha/p/17162325.html