ID | Title | Difficulty | |
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677. Map Sum Pairs
Medium
LeetCode
Hash Table, String, Design, Trie
Problem
Design a map that allows you to do the following:
- Maps a string key to a given value.
- Returns the sum of the values that have a key with a prefix equal to a given string.
Implement the MapSum class:
- MapSum() Initializes the MapSum object.
- void insert(String key, int val) Inserts the key-val pair into the map. If the key already existed, the original key-value pair will be overridden to the new one.
- int sum(string prefix) Returns the sum of all the pairs’ value whose key starts with the prefix.
Example 1:
Input
["MapSum", "insert", "sum", "insert", "sum"]
[[], ["apple", 3], ["ap"], ["app", 2], ["ap"]]
Output
[null, null, 3, null, 5]
Explanation
MapSum mapSum = new MapSum();
mapSum.insert("apple", 3);
mapSum.sum("ap"); // return 3 (apple = 3)
mapSum.insert("app", 2);
mapSum.sum("ap"); // return 5 (apple + app = 3 + 2 = 5)
Constraints:
- 1 <= key.length, prefix.length <= 50
- key and prefix consist of only lowercase English letters.
- 1 <= val <= 1000
- At most 50 calls will be made to insert and sum.
Code
208. Implement Trie (Prefix Tree)
class MapSum {
class TrieNode {
int sum;
TrieNode[] children;
public TrieNode() {
sum = 0;
children = new TrieNode[26];
}
}
TrieNode root;
HashMap<String, Integer> map;
public MapSum() {
root = new TrieNode();
map = new HashMap<>();
}
public void insert(String key, int val) {
int diff = val - map.getOrDefault(key, 0);
TrieNode node = root;
for(int i = 0; i < key.length(); i++) {
int index = key.charAt(i) - 'a';
if(node.children[index] == null) {
node.children[index] = new TrieNode();
}
node = node.children[index];
node.sum += diff;
}
map.put(key, val);
}
public int sum(String prefix) {
TrieNode node = root;
for(int i = 0; i < prefix.length(); i++) {
int index = prefix.charAt(i) - 'a';
if(node.children[index] == null) return 0;
node = node.children[index];
}
return node.sum;
}
}
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