You have a collection of coins, and you know the values of the coins and the quantity of each type of coin in it. You want to know how many distinct sums you can make from non-empty groupings of these coins.
[time limit] 3000ms
[input] array.integer coins
An array containing the values of the coins in your collection.
Guaranteed constraints:
1 ≤ coins.length ≤ 20,
1 ≤ coins[i] ≤ 104.
[input] array.integer quantity
An array containing the quantity of each type of coin in your collection. quantity[i] indicates the number of coins that have a value of coins[i].
Guaranteed constraints:
quantity.length = coins.length,
1 ≤ quantity[i] ≤ 105.
It is guaranteed that (quantity[0] + 1) * (quantity[1] + 1) * ... * (quantity[quantity.length - 1] + 1) <= 106.
[output] integer
The number of different possible sums that can be created from non-empty groupings of your coins.
For coins = [10, 50, 100] and quantity = [1, 2, 1], the output should be possibleSums(coins, quantity) = 9.
Here are all the possible sums:
50 = 50;
10 + 50 = 60;
50 + 100 = 150;
10 + 50 + 100 = 160;
50 + 50 = 100;
10 + 50 + 50 = 110;
50 + 50 + 100 = 200;
10 + 50 + 50 + 100 = 210;
10 = 10;
100 = 100;
10 + 100 = 110.
As you can see, there are 9 distinct sums that can be created from non-empty groupings of your coins.