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.
classSolution {// Using DFS directly will lead to TLE, so I just used HashMap to save the// previous results to remove duplicated branches, as the following:publicList<String> wordBreak(String s,List<String> wordDict) {Set<String> dict =newHashSet<>();for (String x : wordDict)dict.add(x);returnDFS(s, dict,newHashMap<String,List<String>>()); }// DFS function returns an array including all substrings derived from s.publicList<String> DFS(String s,Set<String> wordDict,HashMap<String,List<String>> map) {if (map.containsKey(s))returnmap.get(s);List<String> res =newArrayList<String>();if (s.length() ==0) {res.add("");return res; }for (String word : wordDict) {if (s.startsWith(word)) {List<String> sublist =DFS(s.substring(word.length()), wordDict, map);for (String sub : sublist)res.add(word + (sub.isEmpty() ?"":" ") + sub); } }map.put(s, res);return res; }}