808. Soup Servings
Description
You have two soups, A and B, each starting with n
mL. On every turn, one of the following four serving operations is chosen at random, each with probability 0.25
independent of all previous turns:
- pour 100 mL from type A and 0 mL from type B
- pour 75 mL from type A and 25 mL from type B
- pour 50 mL from type A and 50 mL from type B
- pour 25 mL from type A and 75 mL from type B
Note:
- There is no operation that pours 0 mL from A and 100 mL from B.
- The amounts from A and B are poured simultaneously during the turn.
- If an operation asks you to pour more than you have left of a soup, pour all that remains of that soup.
The process stops immediately after any turn in which one of the soups is used up.
Return the probability that A is used up before B, plus half the probability that both soups are used up in the same turn. Answers within 10-5
of the actual answer will be accepted.
Example 1:
Input: n = 50 Output: 0.62500 Explanation: If we perform either of the first two serving operations, soup A will become empty first. If we perform the third operation, A and B will become empty at the same time. If we perform the fourth operation, B will become empty first. So the total probability of A becoming empty first plus half the probability that A and B become empty at the same time, is 0.25 * (1 + 1 + 0.5 + 0) = 0.625.
Example 2:
Input: n = 100 Output: 0.71875 Explanation: If we perform the first serving operation, soup A will become empty first. If we perform the second serving operations, A will become empty on performing operation [1, 2, 3], and both A and B become empty on performing operation 4. If we perform the third operation, A will become empty on performing operation [1, 2], and both A and B become empty on performing operation 3. If we perform the fourth operation, A will become empty on performing operation 1, and both A and B become empty on performing operation 2. So the total probability of A becoming empty first plus half the probability that A and B become empty at the same time, is 0.71875.
Constraints:
0 <= n <= 109
Solutions
Solution: Dynamic Programming
- Time complexity: O(n2)
- Space complexity: O(n2)
JavaScript
js
/**
* @param {number} n
* @return {number}
*/
const soupServings = function (n) {
if (n > 4800) return 1;
const copies = Math.ceil(n / 25);
const dp = Array.from({ length: copies + 1 }, () => new Array(copies + 1).fill(-1));
const pourSoup = (a, b) => {
if (a <= 0 && b <= 0) return 0.5;
if (b <= 0) return 0;
if (a <= 0) return 1;
if (dp[a][b] !== -1) return dp[a][b];
const method1 = pourSoup(a - 4, b);
const method2 = pourSoup(a - 3, b - 1);
const method3 = pourSoup(a - 2, b - 2);
const method4 = pourSoup(a - 1, b - 3);
const result = 0.25 * (method1 + method2 + method3 + method4);
dp[a][b] = result;
return result;
};
return pourSoup(copies, copies);
};