Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, add spaces in s to construct a sentence where each word is a valid dictionary word. Return all such possible sentences.

Note:

  • The same word in the dictionary may be reused multiple times in the segmentation.
  • You may assume the dictionary does not contain duplicate words.

Example 1:

Input:
s = "catsanddog"
wordDict = ["cat", "cats", "and", "sand", "dog"]
Output:
[
  "cats and dog",
  "cat sand dog"
]

Example 2:

Input:
s = "pineapplepenapple"
wordDict = ["apple", "pen", "applepen", "pine", "pineapple"]
Output:
[
  "pine apple pen apple",
  "pineapple pen apple",
  "pine applepen apple"
]
Explanation: Note that you are allowed to reuse a dictionary word.

Example 3:

Input:
s = "catsandog"
wordDict = ["cats", "dog", "sand", "and", "cat"]
Output:
[]

139. Word Break 的拓展,那道题只是让判断是否可以拆分,而这道题要求输出所有可能的拆分组合。

解法:dp + dfs,先用dp计算是否可以拆分,然后用dfs求出具体拆分的组合。

Java:

public static List<String> wordBreak(String s, Set<String> dict) {
//create an array of ArrayList<String>
List<String> dp[] = new ArrayList[s.length()+1];
dp[0] = new ArrayList<String>(); for(int i=0; i<s.length(); i++){
if( dp[i] == null )
continue; for(String word:dict){
int len = word.length();
int end = i+len;
if(end > s.length())
continue; if(s.substring(i,end).equals(word)){
if(dp[end] == null){
dp[end] = new ArrayList<String>();
}
dp[end].add(word);
}
}
} List<String> result = new LinkedList<String>();
if(dp[s.length()] == null)
return result; ArrayList<String> temp = new ArrayList<String>();
dfs(dp, s.length(), result, temp); return result;
} public static void dfs(List<String> dp[],int end,List<String> result, ArrayList<String> tmp){
if(end <= 0){
String path = tmp.get(tmp.size()-1);
for(int i=tmp.size()-2; i>=0; i--){
path += " " + tmp.get(i) ;
} result.add(path);
return;
} for(String str : dp[end]){
tmp.add(str);
dfs(dp, end-str.length(), result, tmp);
tmp.remove(tmp.size()-1);
}
}

Java:

public List<String> wordBreak(String s, Set<String> wordDict) {
ArrayList<String> [] pos = new ArrayList[s.length()+1];
pos[0]=new ArrayList<String>(); for(int i=0; i<s.length(); i++){
if(pos[i]!=null){
for(int j=i+1; j<=s.length(); j++){
String sub = s.substring(i,j);
if(wordDict.contains(sub)){
if(pos[j]==null){
ArrayList<String> list = new ArrayList<String>();
list.add(sub);
pos[j]=list;
}else{
pos[j].add(sub);
} }
}
}
} if(pos[s.length()]==null){
return new ArrayList<String>();
}else{
ArrayList<String> result = new ArrayList<String>();
dfs(pos, result, "", s.length());
return result;
}
} public void dfs(ArrayList<String> [] pos, ArrayList<String> result, String curr, int i){
if(i==0){
result.add(curr.trim());
return;
} for(String s: pos[i]){
String combined = s + " "+ curr;
dfs(pos, result, combined, i-s.length());
}
} 

Java:

public class Solution {
Map<String, List<String>> done = new HashMap<>();
Set<String> dict; public List<String> wordBreak(String s, Set<String> dict) {
this.dict = dict;
done.put("", new ArrayList<>());
done.get("").add(""); return dfs(s);
} List<String> dfs(String s) {
if (done.containsKey(s)) {
return done.get(s);
}
List<String> ans = new ArrayList<>(); for (int len = 1; len <= s.length(); len++) {
String s1 = s.substring(0, len);
String s2 = s.substring(len); if (dict.contains(s1)) {
List<String> s2_res = dfs(s2);
for (String item : s2_res) {
if (item == "") {
ans.add(s1);
} else {
ans.add(s1 + " " + item);
}
}
}
}
done.put(s, ans);
return ans;
}
} 

Python:

class Solution(object):
def wordBreak(self, s, wordDict):
"""
:type s: str
:type wordDict: Set[str]
:rtype: List[str]
"""
n = len(s) max_len = 0
for string in wordDict:
max_len = max(max_len, len(string)) can_break = [False for _ in xrange(n + 1)]
valid = [[False] * n for _ in xrange(n)]
can_break[0] = True
for i in xrange(1, n + 1):
for l in xrange(1, min(i, max_len) + 1):
if can_break[i-l] and s[i-l:i] in wordDict:
valid[i-l][i-1] = True
can_break[i] = True result = []
if can_break[-1]:
self.wordBreakHelper(s, valid, 0, [], result)
return result def wordBreakHelper(self, s, valid, start, path, result):
if start == len(s):
result.append(" ".join(path))
return
for i in xrange(start, len(s)):
if valid[start][i]:
path += [s[start:i+1]]
self.wordBreakHelper(s, valid, i + 1, path, result)
path.pop() 

C++:

class Solution {
public:
vector<string> wordBreak(string s, unordered_set<string>& wordDict) {
vector<string> res;
string out;
vector<bool> possible(s.size() + 1, true);
wordBreakDFS(s, wordDict, 0, possible, out, res);
return res;
}
void wordBreakDFS(string &s, unordered_set<string> &wordDict, int start, vector<bool> &possible, string &out, vector<string> &res) {
if (start == s.size()) {
res.push_back(out.substr(0, out.size() - 1));
return;
}
for (int i = start; i < s.size(); ++i) {
string word = s.substr(start, i - start + 1);
if (wordDict.find(word) != wordDict.end() && possible[i + 1]) {
out.append(word).append(" ");
int oldSize = res.size();
wordBreakDFS(s, wordDict, i + 1, possible, out, res);
if (res.size() == oldSize) possible[i + 1] = false;
out.resize(out.size() - word.size() - 1);
}
}
}
};

  

类似题目:

[LeetCode] 139. Word Break 单词拆分

All LeetCode Questions List 题目汇总

[LeetCode] 140. Word Break II 单词拆分II的更多相关文章

  1. leetcode 140. Word Break II ----- java

    Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each ...

  2. Java for LeetCode 140 Word Break II

    Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each ...

  3. Leetcode#140 Word Break II

    原题地址 动态规划题 令s[i..j]表示下标从i到j的子串,它的所有分割情况用words[i]表示 假设s[0..i]的所有分割情况words[i]已知.则s[0..i+1]的分割情况words[i ...

  4. [LeetCode] 139. Word Break 单词拆分

    Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, determine ...

  5. leetcode 139. Word Break 、140. Word Break II

    139. Word Break 字符串能否通过划分成词典中的一个或多个单词. 使用动态规划,dp[i]表示当前以第i个位置(在字符串中实际上是i-1)结尾的字符串能否划分成词典中的单词. j表示的是以 ...

  6. Java实现 LeetCode 140 单词拆分 II(二)

    140. 单词拆分 II 给定一个非空字符串 s 和一个包含非空单词列表的字典 wordDict,在字符串中增加空格来构建一个句子,使得句子中所有的单词都在词典中.返回所有这些可能的句子. 说明: 分 ...

  7. 140. Word Break II(hard)

    欢迎fork and star:Nowcoder-Repository-github 140. Word Break II 题目: Given a non-empty string s and a d ...

  8. 【LeetCode-面试算法经典-Java实现】【139-Word Break(单词拆分)】

    [139-Word Break(单词拆分)] [LeetCode-面试算法经典-Java实现][全部题目文件夹索引] 原题 Given a string s and a dictionary of w ...

  9. 【LeetCode】140. Word Break II

    Word Break II Given a string s and a dictionary of words dict, add spaces in s to construct a senten ...

随机推荐

  1. 罗技k380在iOS下无法输入英文引号

    本来打算用iPad远程控制电脑主机进行编程的,但是在键盘回来之后开始试着用的时候发现没法输入英文状态的引号. 各种更换输入法都没有用.没有英文引号还写个锤子的代码. 解决办法:设置-通用-键盘,然后将 ...

  2. 使用gitlab下载代码(附常用命令)

    Git是现在很多人常用的代码管理工具,这里有一些常用的命令详解,本人接触也不是很久,若有错误,请在评论指出,谢谢. 若计算机中没有安装GIT,可自行查找安装教程,十分简便. ①首先,我们需要下载项目, ...

  3. js中四舍五入保留两位效数,js中将Number转换成字符类型

    今天在写代码的时候遇到了点问题,特意记下,以免忘记!四舍五入方法: // num为传入的值,n为保留的小数位 function fomatFloat(num,n){ var f = parseFloa ...

  4. Dubbo源码分析:Filter

    类图 Filter链 在ProtocolFilterWrapper对象中完成Filter完成组建. 实现代码

  5. 微信小程序——<scroll-view>滚动到最底部

    最近在做个直播间,有个这样的需要,就是进入到页面,<scroll-view>需要滚动到最底部,并且发送消息之后自动的滚动到底部. 开始想着计算里面内容的高度,然后通过设置 scroll-t ...

  6. Bootstrap内辅助类,响应式工具,组件的个人总结

    辅助类(工具类): 文本颜色: <p class="text-muted">Fusce dapibus, tellus ac cursus commodo, torto ...

  7. LeetCode 990. Satisfiability of Equality Equations

    原题链接在这里:https://leetcode.com/problems/satisfiability-of-equality-equations/ 题目: Given an array equat ...

  8. UFUN函数 UF_CFI函数(uc4504,uc4540,uc4514,uc4547,UF_CFI_ask_file_exist )

    UF_initialize(); //指定本地数据文件的路径 char file_spec[]="D://Program Files//Siemens//NX 8.0//UGII//zyTO ...

  9. 堆内存腐败异常(STATUS_HEAP_CORRUPTION---0xC0000374)

    什么是内存腐败 当堆内存位置的内容由于编程行为而被修改,超出了原始程序构造的意图时,计算机程序就会发生内存腐败,也可以叫内存破坏:这被称为违反内存安全.内存腐败的最可能原因是编程错误.当腐败的内存内容 ...

  10. redis 设置为只读模式

    数据库的只读模式,对于在系统出现重大故障,但是又不影响用户的查询操作还是很重要的 对于redis 设置只读模式需要分不同的场景 master-slave cluster single master-s ...