我们给出两个单词数组 A 和 B。每个单词都是一串小写字母。
现在,如果 b 中的每个字母都出现在 a 中,包括重复出现的字母,那么称单词 b 是单词 a 的子集。
例如,“wrr” 是 “warrior” 的子集,但不是 “world” 的子集。
如果对 B 中的每一个单词 b,b 都是 a 的子集,那么我们称 A 中的单词 a 是通用的。
你可以按任意顺序以列表形式返回 A 中所有的通用单词。
示例 1:
输入:A = ["amazon","apple","facebook","google","leetcode"],
B = ["e","o"]
输出:["facebook","google","leetcode"]
示例 2:
输入:A = ["amazon","apple","facebook","google","leetcode"],
B = ["l","e"]
输出:["apple","google","leetcode"]
示例 3:
输入:A = ["amazon","apple","facebook","google","leetcode"],
B = ["e","oo"]
输出:["facebook","google"]
示例 4:
输入:A = ["amazon","apple","facebook","google","leetcode"],
B = ["lo","eo"]
输出:["google","leetcode"]
示例 5:
输入:A = ["amazon","apple","facebook","google","leetcode"],
B = ["ec","oc","ceo"]
输出:["facebook","leetcode"]
提示:
1 <= A.length, B.length <= 10000
1 <= A[i].length, B[i].length <= 10
A[i] 和 B[i] 只由小写字母组成。
A[i] 中所有的单词都是独一无二的,也就是说不存在 i != j 使得 A[i] == A[j]。
来源:力扣(LeetCode) 链接:https://leetcode-cn.com/problems/word-subsets
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class Solution {
public:
vector wordSubsets(vector& A, vector& B) {
vector countB(26,0);
for(auto& bi : B)
{
vector countb(26,0);
for(char ch : bi)
countb[ch-'a']++;
for(int i = 0; i < 26; ++i)
countB[i] = max(countB[i],countb[i]);//取较大的
}
vector ans;
bool ok;
for(auto& Ai : A)
{
vector countai(26,0);
ok = true;
for(char ch : Ai)
countai[ch-'a']++;
for(int i = 0; i < 26; ++i)
{
if(countai[i] < countB[i])//不满足
{
ok = false;
break;
}
}
if(ok)
ans.push_back(Ai);
}
return ans;
}
};
348 ms 88.6 MB