zoukankan      html  css  js  c++  java
  • [leetcode]Longest Substring Without Repeating Characters @ Python

    原题地址:https://oj.leetcode.com/problems/longest-substring-without-repeating-characters/

    题意:Given a string, find the length of the longest substring without repeating characters. For example, the longest substring without repeating letters for "abcabcbb" is "abc", which the length is 3. For "bbbbb" the longest substring is "b", with the length of 1.

    解题思路:使用一个哈希表,记录字符的索引。例如对于字符串'zwxyabcabczbb',当检测到第二个'a'时,由于之前已经有一个'a'了,所以应该从第一个a的下一个字符重新开始测算长度,但是要把第一个a之前的字符在哈希表中对应的值清掉,如果不清掉的话,就会误以为还存在重复的。比如检测到第二个'z'时,如果第一个'z'对应的哈希值还在,那就出错了,所以要把第一个'a'之前的字符的哈希值都重置才行。

    代码:

    class Solution:
        # @return an integer
        def lengthOfLongestSubstring(self, s):
            start = 0
            maxlen = 0
            hashtable = [-1 for i in range(256)]
            for i in range(len(s)):
                if hashtable[ord(s[i])] != -1:
                    while start <= hashtable[ord(s[i])]:
                        hashtable[ord(s[start])] = -1
                        start += 1
                if i - start + 1 > maxlen: maxlen = i - start + 1
                hashtable[ord(s[i])] = i
            return maxlen
    class Solution:
        # @return an integer
        def lengthOfLongestSubstring(self, s):
            start = 0
            maxlen = 0
            dict = {}
            for i in range(len(s)):
                dict[s[i]] = -1
            for i in range(len(s)):
                if dict[s[i]] != -1:
                    while start <= dict[s[i]]:
                        dict[s[start]] = -1
                        start += 1
                if i - start + 1 > maxlen: maxlen = i - start + 1
                dict[s[i]] = i
            return maxlen
  • 相关阅读:
    运算符的优先级(从高到低)
    常用字符与ASCII代码对照表
    02.数据类型常量与变量
    Java基础01
    2以太坊入门的方法2
    区块链学习笔记1
    5关键字this与super的区别
    4Java中成员变量与局部变量
    lua返回页面时中文乱码
    struts2中<jsp:forward>跳转时报404错误的问题
  • 原文地址:https://www.cnblogs.com/zuoyuan/p/3785840.html
Copyright © 2011-2022 走看看