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Question: Implement a Trie (Prefix Tree) data structure with insert, search, and startsWith methods.

class TrieNode:
    def __init__(self):
        self.children = {}
        self.is_end_of_word = False

class Trie:
    def __init__(self):
        """
        Initialize your data structure here.
        """
        self.root = TrieNode()
    
    def insert(self, word: str) -> None:
        """
        Inserts a word into the trie.
        Time complexity: O(n), where n is the length of the word
        Space complexity: O(n)
        """
        node = self.root
        for char in word:
            if char not in node.children:
                node.children[char] = TrieNode()
            node = node.children[char]
        node.is_end_of_word = True
    
    def search(self, word: str) -> bool:
        """
        Returns if the word is in the trie.
        Time complexity: O(n), where n is the length of the word
        Space complexity: O(1)
        """
        node = self.root
        for char in word:
            if char not in node.children:
                return False
            node = node.children[char]
        return node.is_end_of_word
    
    def startsWith(self, prefix: str) -> bool:
        """
        Returns if there is any word in the trie that starts with the given prefix.
        Time complexity: O(n), where n is the length of the prefix
        Space complexity: O(1)
        """
        node = self.root
        for char in prefix:
            if char not in node.children:
                return False
            node = node.children[char]
        return True

# Example usage:
trie = Trie()
trie.insert("apple")
print(trie.search("apple"))   # Returns True
print(trie.search("app"))     # Returns False
print(trie.startsWith("app")) # Returns True
trie.insert("app")
print(trie.search("app"))     # Returns True

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