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Copy path208.ImplementTrie(PrefixTree).py
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208.ImplementTrie(PrefixTree).py
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"""
Implement a trie with insert, search, and startsWith methods.
Example:
Trie trie = new Trie();
trie.insert("apple");
trie.search("apple"); // returns true
trie.search("app"); // returns false
trie.startsWith("app"); // returns true
trie.insert("app");
trie.search("app"); // returns true
Note:
- You may assume that all inputs are consist of lowercase letters a-z.
- All inputs are guaranteed to be non-empty strings.
"""
#Difficulty: Medium
#15 / 15 test cases passed.
#Runtime: 328 ms
#Memory Usage: 32.3 MB
#Runtime: 328 ms, faster than 16.29% of Python3 online submissions for Implement Trie (Prefix Tree).
#Memory Usage: 32.3 MB, less than 25.53% of Python3 online submissions for Implement Trie (Prefix Tree).
class Trie:
def __init__(self):
"""
Initialize your data structure here.
"""
self.root = {}
def insert(self, word: str) -> None:
"""
Inserts a word into the trie.
"""
length = len(word)
count = 0
isWord = False
current = self.root
for i in range(1, length+1):
count += 1
if count == length:
isWord = True
if word[:i] not in current:
current[word[:i]] = {word[:i] : isWord}
current = current[word[:i]]
else:
current = current[word[:i]]
current[word[:i]] = isWord
def search(self, word: str) -> bool:
"""
Returns if the word is in the trie.
"""
length = len(word)
current = self.root
for i in range(1, length+1):
if word[:i] not in current:
return False
current = current[word[:i]]
return current[word[:i]]
def startsWith(self, prefix: str) -> bool:
"""
Returns if there is any word in the trie that starts with the given prefix.
"""
length = len(prefix)
current = self.root
for i in range(1, length+1):
if prefix[:i] not in current:
return False
current = current[prefix[:i]]
return True
# Your Trie object will be instantiated and called as such:
# obj = Trie()
# obj.insert(word)
# param_2 = obj.search(word)
# param_3 = obj.startsWith(prefix)