208.实现 Trie (前缀树)
字典树
树的节点存储两个数据:
- Count作为结束节点的次数(用来标识单词结束以及统计单词出现次数)
- Edges存储从该节点还可以延伸下去的边(指针指向下一个节点),可以是数组也可以是map,map适用性更强。
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70type Trie struct {
Count int
Edges map[byte]*Trie
}
func Constructor() Trie {
return Trie{
Count: 0,
Edges: make(map[byte]*Trie),
}
}
func (this *Trie) Insert(word string) {
curr := this
for i := 0; i < len(word); i++ {
next, ok := curr.Edges[word[i]]
if !ok {
next = &Trie{
Count: 0,
Edges: make(map[byte]*Trie),
}
curr.Edges[word[i]] = next
}
if i == len(word) - 1 {
next.Count++
}
// fmt.Printf("curr: %v\n", curr)
curr = next
}
}
func (this *Trie) Search(word string) bool {
curr := this
ok := true
for i := 0; i < len(word); i++ {
if ok {
curr, ok = curr.Edges[word[i]]
} else {
return false
}
}
return ok && curr.Count > 0
}
func (this *Trie) StartsWith(prefix string) bool {
curr := this
ok := true
for i := 0; i < len(prefix); i++ {
if ok {
curr, ok = curr.Edges[prefix[i]]
} else {
return false
}
}
return ok && true
}
/**
* Your Trie object will be instantiated and called as such:
* obj := Constructor();
* obj.Insert(word);
* param_2 := obj.Search(word);
* param_3 := obj.StartsWith(prefix);
*/
208.实现 Trie (前缀树)
https://blog.jerrylee.me/2021/09/9f36be36262a.html