392. Is Subsequence
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为何不像76. Minimum Window Substring用数组来匹配, 是因为双指针是根据字符串的顺序遍历的, 而数组的话没有顺序.如
For example,
S = "ADOBECODEBANC"
T = "ABC"
Minimum window is "BANC"
. 并不是非得ABC的顺序. 看follow up 是如何用list[] 和binary search解决字符配的升序问题的
https://leetcode.com/problems/is-subsequence/#/solutions
http://www.cnblogs.com/EdwardLiu/p/6116896.html
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?
Credits:
Special thanks to @pbrother for adding this problem and creating all test cases.
public boolean isSubsequence(String s, String t) { int j = 0, i = 0; while (j < t.length() && i < s.length()) { if (s.charAt(i) == t.charAt(j)) { i++; j++; } else { j++; } } if (i == s.length()) { return true; } else { return false; } }
Follow Up:
The best solution is to create a map for String t, key is char, value is the index of appearance in ascending order
public boolean isSubsequence(String s, String t) { List<Integer>[] idx = new List[256]; // Just for clarity 字典集合, 每一个字母的ASCII 码当作键, 在t中的顺序当作值 for (int i = 0; i < t.length(); i++) { // 生成字典 if (idx[t.charAt(i)] == null) idx[t.charAt(i)] = new ArrayList<>(); idx[t.charAt(i)].add(i); } int prev = 0; // 前一个字母在t中的坐标, 控制升序 for (int i = 0; i < s.length(); i++) { //开始在字典里查找 if (idx[s.charAt(i)] == null) return false; // Note: char of S does NOT exist in T causing NPE int j = Collections.binarySearch(idx[s.charAt(i)], prev); //在当前字母表中查找其比之前的字母升序的坐标 if (j < 0) j = -j - 1; // 二分搜索的注意点 if (j == idx[s.charAt(i)].size()) return false; //在升序后找不到false prev = idx[s.charAt(i)].get(j) + 1; //在t中查找当前s的字母比s中的前一个字母在t中升序的坐标
}
return true;
}
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