python数据结构与算法——字典树

 class TrieTree():
def __init__(self):
self.root = {} def addNode(self,str):
# 树中每个结点(除根节点),包含到该结点的单词数,以及该结点后面出现字母的键
nowdict = self.root
for i in range(len(str)):
if str[i] not in nowdict: # 发现新的组合方式
nowdict[str[i]] = {'count':0,'prefix':str[:i+1]}
nowdict = nowdict[str[i]] # 转移到下一个结点
nowdict['count'] += 1 def countWord(self,str):
# 返回输入单词在树中出现的次数
nowdict = self.root
for s in str:
if s not in nowdict:
return 0
nowdict = nowdict[s] # 匹配当前结点,转下一个结点
# 到了这一步证明单词存在
return nowdict['count'] if __name__=="__main__":
pass
Text = ['b','abc','abd','bcd','abcd','efg','hii','bcd']
t = TrieTree()
for str in Text:
t.addNode(str)
print t.countWord('bcd') >>> 2

参考:http://blog.csdn.net/v_july_v/article/details/6897097

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