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 theMapSum
object.void insert(String key, int val)
Inserts thekey-val
pair into the map. If thekey
already existed, the originalkey-value
pair will be overridden to the new one.int sum(string prefix)
Returns the sum of all the pairs' value whosekey
starts with theprefix
.
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
andprefix
consist of only lowercase English letters.1 <= val <= 1000
At most
50
calls will be made toinsert
andsum
.
Solution (Java)
class MapSum {
static class Node {
int val;
Node[] child;
Node() {
child = new Node[26];
val = 0;
}
}
private final Node root;
public MapSum() {
root = new Node();
}
public void insert(String key, int val) {
Node curr = root;
for (char c : key.toCharArray()) {
if (curr.child[c - 'a'] == null) {
curr.child[c - 'a'] = new Node();
}
curr = curr.child[c - 'a'];
}
curr.val = val;
}
private int sumHelper(Node root) {
int o = 0;
for (int i = 0; i < 26; i++) {
if (root.child[i] != null) {
o += root.child[i].val + sumHelper(root.child[i]);
}
}
return o;
}
public int sum(String prefix) {
Node curr = root;
for (char c : prefix.toCharArray()) {
if (curr.child[c - 'a'] == null) {
return 0;
}
curr = curr.child[c - 'a'];
}
int sum = curr.val;
return sum + sumHelper(curr);
}
}
/**
* Your MapSum object will be instantiated and called as such:
* MapSum obj = new MapSum();
* obj.insert(key,val);
* int param_2 = obj.sum(prefix);
*/
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).