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
Approach 01:
-
C++
-
Python
class Solution {
public:
double soupServings(int totalSoup) {
return totalSoup >= 4800 ? 1.0 : dfs((totalSoup + 24) / 25, (totalSoup + 24) / 25);
}
private:
vector<vector<double>> memo = vector<vector<double>>(4800 / 25, vector<double>(4800 / 25));
double dfs(int soupA, int soupB) {
if (soupA <= 0 && soupB <= 0)
return 0.5;
if (soupA <= 0)
return 1.0;
if (soupB <= 0)
return 0.0;
if (memo[soupA][soupB] > 0)
return memo[soupA][soupB];
return memo[soupA][soupB] = 0.25 * (
dfs(soupA - 4, soupB) +
dfs(soupA - 3, soupB - 1) +
dfs(soupA - 2, soupB - 2) +
dfs(soupA - 1, soupB - 3)
);
}
};
Time Complexity
- The time complexity is \(O(n^2)\), where
nis \(\frac{\text{totalSoup}}{25}\). - This is because each unique state \((soupA, soupB)\) is computed only once due to memoization, and there are at most \(n^2\) such states.
Space Complexity
- The space complexity is \(O(n^2)\) for storing the memoization table
memo, wherenis \(\frac{\text{totalSoup}}{25}\).
class Solution:
def soupServings(self, totalSoup: int) -> float:
return 1.0 if totalSoup >= 4800 else self.dfs((totalSoup + 24) // 25, (totalSoup + 24) // 25)
def __init__(self):
self.memo = [[0.0] * (4800 // 25) for _ in range(4800 // 25)]
def dfs(self, soupA: int, soupB: int) -> float:
if soupA <= 0 and soupB <= 0:
return 0.5
if soupA <= 0:
return 1.0
if soupB <= 0:
return 0.0
if self.memo[soupA][soupB] > 0:
return self.memo[soupA][soupB]
self.memo[soupA][soupB] = 0.25 * (
self.dfs(soupA - 4, soupB) +
self.dfs(soupA - 3, soupB - 1) +
self.dfs(soupA - 2, soupB - 2) +
self.dfs(soupA - 1, soupB - 3)
)
return self.memo[soupA][soupB]
Time Complexity
- The time complexity is \(O(n^2)\), where
nis \(\frac{\text{totalSoup}}{25}\). - This is because each unique state \((soupA, soupB)\) is computed only once due to memoization, and there are at most \(n^2\) possible states.
Space Complexity
- The space complexity is \(O(n^2)\) for the memoization table
memo, wherenis \(\frac{\text{totalSoup}}{25}\).