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trie.py
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# A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently
# store and retrieve keys in a dataset of strings. There are various applications of this
# data structure, such as autocomplete and spellchecker.
# Implement the Trie class:
# Trie() Initializes the trie object.
# void insert(String word) Inserts the string word into the trie.
# boolean search(String word) Returns true if the string word is in the trie (i.e., was
# inserted before), and false otherwise.
# boolean startsWith(String prefix) Returns true if there is a previously inserted string
# word that has the prefix prefix, and false otherwise.
# Example 1:
# Input
# ["Trie", "insert", "search", "search", "startsWith", "insert", "search"]
# [[], ["apple"], ["apple"], ["app"], ["app"], ["app"], ["app"]]
# Output
# [null, null, true, false, true, null, true]
# Explanation
# Trie trie = new Trie();
# trie.insert("apple");
# trie.search("apple"); // return True
# trie.search("app"); // return False
# trie.startsWith("app"); // return True
# trie.insert("app");
# trie.search("app"); // return True
# Constraints:
# 1 <= word.length, prefix.length <= 2000
# word and prefix consist only of lowercase English letters.
# At most 3 * 104 calls in total will be made to insert, search, and startsWith.
class TrieNode:
def __init__(self):
self.children = {}
self.end = False
class Trie:
def __init__(self):
self.root = TrieNode()
def insert(self, word: str) -> None:
node = self.root
for char in word:
if node.children.get(char):
node = node.children[char]
else:
newnode = TrieNode()
node.children[char] = newnode
node = newnode
node.end = True
def find(self, word):
node = self.root
for char in word:
if char in node.children:
node = node.children[char]
else:
return None
return node
def search(self, word: str) -> bool:
node = self.find(word)
return node and node.end
def startsWith(self, prefix: str) -> bool:
return self.find(prefix)
# 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)