In English, we have a concept called root, which can be followed by some other word to form another longer word - let's call this word successor. For example, when the root "an"
is followed by the successor word "other", we can form a new word "another".
Given a dictionary
consisting of many roots and a sentence
consisting of words separated by spaces, replace all the successors in the sentence with the root forming it. If a successor can be replaced by more than one root, replace it with the root that has the shortest length.
Return the sentence
after the replacement.
Example 1:
Input: dictionary = ["cat","bat","rat"], sentence = "the cattle was rattled by the battery"
Output: "the cat was rat by the bat"
Example 2:
Input: dictionary = ["a","b","c"], sentence = "aadsfasf absbs bbab cadsfafs"
Output: "a a b c"
Constraints:
1 <= dictionary.length <= 1000
1 <= dictionary[i].length <= 100
dictionary[i]
consists of only lower-case letters.1 <= sentence.length <= 10^6
sentence
consists of only lower-case letters and spaces.sentence
is in the range [1, 1000]
sentence
is in the range [1, 1000]
sentence
will be separated by exactly one space.sentence
does not have leading or trailing spaces.class TrieNode:
def __init__(self):
self.children = {}
self.word = ""
class Trie:
def __init__(self):
self.root = TrieNode()
def add(self, word):
curr = self.root
for w in word:
if w not in curr.children:
curr.children[w] = TrieNode()
curr = curr.children[w]
curr.word = word
def search(self, word):
curr = self.root
for w in word:
if w not in curr.children:
return False
curr = curr.children[w]
if curr.word:
return curr.word
return False
class Solution:
def replaceWords(self, dictionary: List[str], sentence: str) -> str:
trie = Trie()
answer = []
for word in dictionary:
trie.add(word)
for word in sentence.split():
find_word = trie.search(word)
if find_word:
answer.append(find_word)
else:
answer.append(word)
return " ".join(answer)