Given a binary string s
and an integer k
.
Return True if every binary code of length k
is a substring of s
. Otherwise, return False.
Example 1:
Input: s = "00110110", k = 2 Output: true Explanation: The binary codes of length 2 are "00", "01", "10" and "11". They can be all found as substrings at indicies 0, 1, 3 and 2 respectively.
Example 2:
Input: s = "00110", k = 2 Output: true
Example 3:
Input: s = "0110", k = 1 Output: true Explanation: The binary codes of length 1 are "0" and "1", it is clear that both exist as a substring.
Example 4:
Input: s = "0110", k = 2 Output: false Explanation: The binary code "00" is of length 2 and doesn't exist in the array.
Example 5:
Input: s = "0000000001011100", k = 4 Output: false
Constraints:
1 <= s.length <= 5 * 10^5
s
consists of 0's and 1's only.1 <= k <= 20
检查一个字符串是否包含所有长度为 K 的二进制子串。
给你一个二进制字符串 s
和一个整数 k
。
如果所有长度为 k
的二进制字符串都是 s
的子串,请返回 True ,否则请返回 False 。
这道题问的是在字符串中是否能找到所有长度为 K 的二进制子串,应该不难想到需要用滑动窗口做,但是这里有一个很巧妙的处理,能快速知道你到底需要找多少个子串。因为子串的长度是 K,所以一共需要找 Math.pow(2, k) 个子串。所以这里我们利用一个hashset,如果遍历完input字符串之后set.size() == k则证明找全了,否则就是有缺失。
时间O(n)
空间O(n)
Java实现
1 class Solution { 2 public boolean hasAllCodes(String s, int k) { 3 HashSet<String> set = new HashSet<>(); 4 for (int i = k; i <= s.length(); i++) { 5 set.add(s.substring(i - k, i)); 6 if (set.size() > (1 << k)) { 7 break; 8 } 9 } 10 return set.size() == 1 << k; 11 } 12 }