You are given an integer array nums
where the ith
bag contains nums[i]
balls. You are also given an integer maxOperations
.
You can perform the following operation at most maxOperations
times:
- Take any bag of balls and divide it into two new bags with a positive number of balls.
- For example, a bag of
5
balls can become two new bags of1
and4
balls, or two new bags of2
and3
balls.
- For example, a bag of
Your penalty is the maximum number of balls in a bag. You want to minimize your penalty after the operations.
Return the minimum possible penalty after performing the operations.
Input: nums = [9], maxOperations = 2 Output: 3 Explanation: - Divide the bag with 9 balls into two bags of sizes 6 and 3. [9] -> [6,3]. - Divide the bag with 6 balls into two bags of sizes 3 and 3. [6,3] -> [3,3,3]. The bag with the most number of balls has 3 balls, so your penalty is 3 and you should return 3.
Input: nums = [2,4,8,2], maxOperations = 4 Output: 2 Explanation: - Divide the bag with 8 balls into two bags of sizes 4 and 4. [2,4,8,2] -> [2,4,4,4,2]. - Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,4,4,4,2] -> [2,2,2,4,4,2]. - Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,2,2,4,4,2] -> [2,2,2,2,2,4,2]. - Divide the bag with 4 balls into two bags of sizes 2 and 2. [2,2,2,2,2,4,2] -> [2,2,2,2,2,2,2,2]. The bag with the most number of balls has 2 balls, so your penalty is 2, and you should return 2.
1 <= nums.length <= 105
1 <= maxOperations, nums[i] <= 109
impl Solution {
pub fn minimum_size(nums: Vec<i32>, max_operations: i32) -> i32 {
let mut low = 1;
let mut high = *nums.iter().max().unwrap();
while low < high {
let mid = (low + high) / 2;
let mut operations = 0;
for x in &nums {
operations += (x - 1) / mid;
}
if operations > max_operations {
low = mid + 1;
} else {
high = mid;
}
}
high
}
}