Introduction Link to heading
Implement a trie with insert, search, and startsWith methods.
Example:
Trie trie = new Trie();
trie.insert("apple");
trie.search("apple"); // returns true
trie.search("app"); // returns false
trie.startsWith("app"); // returns true
trie.insert("app");
trie.search("app"); // returns true
Note:
You may assume that all inputs are consist of lowercase letters a-z.
All inputs are guaranteed to be non-empty strings.
Solution Link to heading
Let’s use the fact that we have only a-z characters in the words.
Therefore, the first data structure support to be an array childs [26]*Trie
.
Also, we need a marker that particular node has the word. I am using leaf
, event it could have childs, because I like it.
You can use whatever you like.
type Trie struct {
childs [26]*Trie
leaf bool
}
func (t *Trie) get(ch byte) *Trie {
return t.childs[ch - 'a']
}
func (t *Trie) getOrCreate(ch byte) *Trie {
node := t.childs[ch - 'a']
if node == nil {
node = &Trie{}
t.childs[ch - 'a'] = node
}
return node
}
/** Initialize your data structure here. */
func Constructor() Trie {
return Trie{}
}
/** Inserts a word into the trie. */
func (this *Trie) Insert(word string) {
node := this
for _, ch := range []byte(word) {
node = node.getOrCreate(ch)
}
node.leaf = true
}
/** Returns if the word is in the trie. */
func (this *Trie) Search(word string) bool {
node := this
for _, ch := range []byte(word) {
node = node.get(ch)
if node == nil {
return false
}
}
return node.leaf
}
/** Returns if there is any word in the trie that starts with the given prefix. */
func (this *Trie) StartsWith(prefix string) bool {
node := this
for _, ch := range []byte(prefix) {
node = node.get(ch)
if node == nil {
return false
}
}
return 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);
*/
Performance of this solution is
Runtime: 52 ms
Memory Usage: 15.9 MB
Hard to make it significantly faster…