648. 单词替换
在英语中,我们有一个叫做
词根
(root) 的概念,可以词根后面添加其他一些词组成另一个较长的单词——我们称这个词为 继承词
(successor)。例如,词根an
,跟随着单词 other
(其他),可以形成新的单词 another
(另一个)。现在,给定一个由许多词根组成的词典
dictionary
和一个用空格分隔单词形成的句子 sentence
。你需要将句子中的所有继承词用词根替换掉。如果继承词有许多可以形成它的词根,则用最短的词根替换它。你需要输出替换之后的句子。
示例 1:
输入:dictionary = ["cat","bat","rat"], sentence = "the cattle was rattled by the battery" 输出:"the cat was rat by the bat"
示例 2:
输入:dictionary = ["a","b","c"], sentence = "aadsfasf absbs bbab cadsfafs" 输出:"a a b c"
提示:
1 <= dictionary.length <= 1000
1 <= dictionary[i].length <= 100
dictionary[i]
仅由小写字母组成。
1 <= sentence.length <= 10^6
sentence
仅由小写字母和空格组成。
sentence
中单词的总量在范围[1, 1000]
内。
sentence
中每个单词的长度在范围[1, 1000]
内。
sentence
中单词之间由一个空格隔开。
sentence
没有前导或尾随空格。
通过次数24,465提交次数41,285
法 1 前缀树
思路
对字典进行排序.
之前是根据前缀查找单词,现在是根据单词查找字典树上的前缀。
题解
class Solution: def replaceWords(self, dictionary: List[str], sentence: str) -> str: trie = Trie() dictionary.sort() for word in dictionary: trie.insert(word) sentence = sentence.split() for i in range(0, len(sentence)): sentence[i] = trie.prefix(sentence[i]) return " ".join(sentence) class Trie: def __init__(self): self.root = {} def insert(self, word): node = self.root for c in word: if c not in node: node[c] = {} node = node[c] # 此处要及时停止 if "word" in node: return node["word"] = word def prefix(self, word): """ 返回该单词的前缀,如果存在的话 """ node = self.root for c in word: if c not in node: break node = node[c] return node["word"] if "word" in node else word