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  • 208. Implement Trie (Prefix Tree)

    https://leetcode.com/problems/implement-trie-prefix-tree/#/description

    Implement a trie with insertsearch, and startsWith methods.

    Note:
    You may assume that all inputs are consist of lowercase letters a-z.


     
     
    Sol: 
     
    from collections import defaultdict
    
    class TrieNode(object):
        def __init__(self):
            
            self.nodes = defaultdict(TrieNode)
            self.isword = False
    
    
    
    class Trie(object):
    
        def __init__(self):
            """
            Initialize your data structure here.
            """
            self.root = TrieNode()
            
    
        def insert(self, word):
            """
            Inserts a word into the trie.
            :type word: str
            :rtype: void
            """
            curr = self.root
            for char in word:
                curr = curr.nodes[char]
            curr.isword = True
            
    
        def search(self, word):
            """
            Returns if the word is in the trie.
            :type word: str
            :rtype: bool
            """
            
            curr = self.root
            for char in word:
                if char not in curr.nodes:
                    return False
                curr = curr.nodes[char]
            return curr.isword
            
    
        def startsWith(self, prefix):
            """
            Returns if there is any word in the trie that starts with the given prefix.
            :type prefix: str
            :rtype: bool
            """
            curr = self.root
            for char in prefix:
                if char not in curr.nodes:
                    return False
                curr = curr.nodes[char]
            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)
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  • 原文地址:https://www.cnblogs.com/prmlab/p/7151954.html
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