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。
输入: A = ["amazon","apple","facebook","google","leetcode"], B = ["e","o"] 输出: ["facebook","google","leetcode"]
输入: A = ["amazon","apple","facebook","google","leetcode"], B = ["l","e"] 输出: ["apple","google","leetcode"]
输入: A = ["amazon","apple","facebook","google","leetcode"], B = ["e","oo"] 输出: ["facebook","google"]
输入: A = ["amazon","apple","facebook","google","leetcode"], B = ["lo","eo"] 输出: ["google","leetcode"]
输入: A = ["amazon","apple","facebook","google","leetcode"], B = ["ec","oc","ceo"] 输出: ["facebook","leetcode"]
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]
。
# @param {String[]} a
# @param {String[]} b
# @return {String[]}
def word_subsets(a, b)
count = [0] * 26
b.each do |sub|
count_ = count_chars(sub)
(0...26).each do |i|
count[i] = [count[i], count_[i]].max
end
end
a.filter { |word| count_chars(word).zip(count).all? { |c| c[0] >= c[1] } }
end
# @param {String} s
# @return {Integer[]}
def count_chars(s)
count = [0] * 26
s.each_byte { |c| count[c - 97] += 1 }
count
end
impl Solution {
pub fn word_subsets(a: Vec<String>, b: Vec<String>) -> Vec<String> {
let mut count = [0; 26];
for sub in b {
let count_ = Self::count_chars(&sub);
for i in 0..26 {
count[i] = count[i].max(count_[i]);
}
}
a.into_iter()
.filter(|word| {
Self::count_chars(&word)
.iter()
.zip(count.iter())
.all(|(x, y)| x >= y)
})
.collect()
}
fn count_chars(s: &str) -> [i32; 26] {
let mut count = [0; 26];
for c in s.bytes() {
count[(c - b'a') as usize] += 1;
}
count
}
}