边工作边刷题:70天一遍leetcode: day 25-2

Implement Trie (Prefix Tree) lintcode: http://www.lintcode.com/submission/3111458/

要点:这题trie的特殊点在字符不是表示在root里,而是在边上。而边是每个树结点上的map<char, child>来表示的。所以结点是placeholder,所以比字符数应该多1个。

  • insertion:
    • 如果用recursion来做,因为java和python是不支持pass-by-reference的,所以要在下一层call的外面判断是否结点不存在,并且如果不存在则创建结点。
    • 字符串结束的marker是在叶结点上,所以是在i==len(word)这层的call里。这是insert的中止条件,直接返回
    • 死记这条:insert的时候root是不会为null的
  • search和startsWith:
    • 结束条件有多个可能:1. root为空,说明对应的字符不存在,返回False,2. i==len(word): code里这个判断在1.之后,所以root是不为null的,然后判断root.isLeaf
    • startsWith的code是类似的,除了不用判断isLeaf
class TrieNode(object):
    def __init__(self):
        """
        Initialize your data structure here.
        """
        self.children = [None]*26
        self.isLeaf = False
        

class Trie(object):

    def __init__(self):
        self.root = TrieNode()

    def insert(self, word):
        """
        Inserts a word into the trie.
        :type word: str
        :rtype: void
        """
        def insertRec(word, i, root):
            if i>=len(word): 
                if i == len(word):
                    root.isLeaf = True
                return
            c = ord(word[i])-ord('a')
            if not root.children[c]:
                root.children[c] = TrieNode()
                
            insertRec(word, i+1, root.children[c])
        
        insertRec(word, 0, self.root)

    def search(self, word):
        """
        Returns if the word is in the trie.
        :type word: str
        :rtype: bool
        """
        def searchRec(word, i, root):
            if not root:
                return False
            
            if i==len(word):
                if root.isLeaf:
                    return True
                else:
                    return False
            
            c = ord(word[i])-ord('a')

            return searchRec(word, i+1, root.children[c])
        
        return searchRec(word, 0, self.root)

    def startsWith(self, prefix):
        """
        Returns if there is any word in the trie
        that starts with the given prefix.
        :type prefix: str
        :rtype: bool
        """
        def startsWithRec(prefix, i, root):
            if not root:
                return False

            if i==len(prefix):
                return True

            c = ord(prefix[i])-ord('a')
            return startsWithRec(prefix, i+1, root.children[c]) 
        
        return startsWithRec(prefix, 0, self.root)       
        

# Your Trie object will be instantiated and called as such:
# trie = Trie()
# trie.insert("somestring")
# trie.search("key")
posted @ 2016-04-23 10:40  absolute100  阅读(115)  评论(0编辑  收藏  举报