LeetCode笔记:392. Is Subsequence

问题:

Given a string s and a string t, check if s is subsequence of t.
You may assume that there is only lower case English letters in both s and t. t is potentially a very long (length ~= 500,000) string, and s is a short string (<=100).
A subsequence of a string is a new string which is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (ie, "ace" is a subsequence of "abcde" while "aec" is not).
Example 1:
s = "abc", t = "ahbgdc"
Return true.
Example 2:
s = "axc", t = "ahbgdc"
Return false.
Follow up:
If there are lots of incoming S, say S1, S2, ... , Sk where k >= 1B, and you want to check one by one to see if T has its subsequence. In this scenario, how would you change your code?

大意:

给出字符串s和t,检查s是否是t的子序列。
你可以假设s和t中只有小写英文字母。t可能是个非常长(长度 ~= 5000000)的字符串,s是个短字符串(<=100)。
一个字符串的子序列是将字符串中删除(可以不删除)一些字符,而不改变字符间的相对位置。(比如,“ace”是“abcde”的子序列,但“aec”就不是)。
例1:
s = "abc", t = "ahbgdc"
返回 true。
例2:
s = "axc", t = "ahbgdc"
返回 false。
进阶:
如果有很多传入的S,称为 S1, S2, ... , Sk ,k>=1B,你想要一个个检查是否是T的子序列。在这个情境下,你会怎么修改你的代码?

思路:

这道题最直接的思路就是遍历t,一个个按顺序检查s中的字符是否顺序出现了,如果一直到s的最后一个字符都出现了,而且是符合顺序的,那就返回true,否则返回false。

但是,这个做法没有用到题目中全是英文小写字母的说明。对于多个子序列检测的情况,同时检测,且多个S之间也需进行一定的比较。

代码(Java):

public class Solution {
    public boolean isSubsequence(String s, String t) {
        if (s.length() == 0) return true;

        int i = 0;
        for (int j = 0; j < t.length(); j++) {
            if (t.charAt(j) - s.charAt(i) == 0) {
                i ++;
                if (i == s.length()) return true;
            }
        }
        return false;
    }
}

他山之石:

public boolean isSubsequence(String s, String t) {
        int fromIndex = 0;
        for (char c : s.toCharArray()) {
            fromIndex = t.indexOf(c, fromIndex);
            if (fromIndex++ < 0) {
                return false;
            }
        }
        return true;
    }
}

这个使用了java的函数indexOf,同时每次从前一个字符找到的位置开始找,本质上与我的做法是一致的,会快一点点。

合集:https://github.com/Cloudox/LeetCode-Record


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