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83 lines (75 loc) · 2.38 KB
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package algorithms;
import org.junit.Test;
import java.util.Arrays;
import java.util.List;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
/**
* 139. Word Break
* https://leetcode.com/problems/word-break/
* Difficulty : Medium
* Related Topics : Hash Table, String, Dynamic Programming, Trie, Memoization
*
* Given a string s and a dictionary of strings wordDict,
* return true if s can be segmented into a space-separated sequence of one or more dictionary words.
*
* Note that the same word in the dictionary may be reused multiple times in the segmentation.
*
* Example 1:
*
* Input: s = "leetcode", wordDict = ["leet","code"]
* Output: true
* Explanation: Return true because "leetcode" can be segmented as "leet code".
*
* Example 2:
*
* Input: s = "applepenapple", wordDict = ["apple","pen"]
* Output: true
* Explanation: Return true because "applepenapple" can be segmented as "apple pen apple".
* Note that you are allowed to reuse a dictionary word.
*
* Example 3:
*
* Input: s = "catsandog", wordDict = ["cats","dog","sand","and","cat"]
* Output: false
*
* Constraints:
*
* 1 <= s.length <= 300
* 1 <= wordDict.length <= 1000
* 1 <= wordDict[i].length <= 20
* s and wordDict[i] consist of only lowercase English letters.
* All the strings of wordDict are unique.
*
*
* created by Cenk Canarslan on 2021-11-28
*/
public class WordBreak {
@Test
public void testWordBreak() {
assertTrue(wordBreak("leetcode", Arrays.asList("leet", "code")));
assertTrue(wordBreak("applepenapple", Arrays.asList("apple","pen")));
assertFalse(wordBreak("catsandog", Arrays.asList("cats","dog","sand","and","cat")));
}
/**
* Runtime: 7 ms, faster than 49.58% of Java online submissions for Word Break.
* Memory Usage: 39.1 MB, less than 77.71% of Java online submissions for Word Break.
*
* @param s
* @param wordDict
* @return
*/
public boolean wordBreak(String s, List<String> wordDict) {
boolean[] dp = new boolean[s.length() + 1];
dp[0] = true;
for (int i = 1; i < dp.length; i++) {
for (int j = 0; j <= i; j++) {
if (dp[j] && wordDict.contains(s.substring(j,i))) {
dp[i] = true;
break;
}
}
}
return dp[s.length()];
}
}