Koko Eating Bananas
Medium
Binary Search
Problem
Koko has piles of bananas. Each hour she picks one pile and eats up to k bananas from it (whole pile if it has fewer than k). Given the piles array and an hour budget h, return the smallest integer k that lets her finish before the guards return.
Example 1
Input: piles = [3,6,7,11], h = 8
Output: 4
Example 2
Input: piles = [30,11,23,4,20], h = 5
Output: 30
Example 3
Input: piles = [30,11,23,4,20], h = 6
Output: 23
Constraints
- 1 ≤ piles.length ≤ 10⁴
- piles.length ≤ h ≤ 10⁹
- 1 ≤ piles[i] ≤ 10⁹
Approach — Binary Search
This is a Binary Search problem. The idea: repeatedly halve the search space, discarding the half that can't contain the answer. Work through the reference code below line by line, then re-derive it yourself in the editor — that's how the pattern sticks.
Complexity: O(log n) time.
Solution code
Python
class Solution:
def minEatingSpeed(self, piles, h):
import math
lo, hi = 1, max(piles)
while lo < hi:
mid = (lo + hi) // 2
if sum(math.ceil(p / mid) for p in piles) <= h:
hi = mid
else:
lo = mid + 1
return lo
Java
class Solution {
public int minEatingSpeed(int[] piles, int h) {
int left = 1, right = 1;
for (int pile : piles) {
right = Math.max(right, pile);
}
while (left < right) {
int middle = (left + right) / 2;
int hourSpent = 0;
for (int pile : piles) {
hourSpent += Math.ceil((double) pile / middle);
}
if (hourSpent <= h) {
right = middle;
} else {
left = middle + 1;
}
}
return right;
}
}
Practice it
Reading a solution isn't the same as being able to write it under pressure. Open this problem in the in-browser editor, hide the solution, and solve it from scratch — your code runs against real test cases instantly.
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