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feat: refactored docs structure
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---
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title: '875. Koko Eating Bananas'
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description: Koko loves to eat bananas. There are n piles of bananas, the i^th pile has piles[i] bananas. The guards have gone and will come back in h hours
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icon: dot
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topics:
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- { name: "Array", slug: "array" }
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- { name: "Binary Search", slug: "binary-search" }
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video: "U2SozAs9RzA"
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issue: "https://github.com/prdlk/leetcode/issues/59"
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sidebar:
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label: 'Koko Eating Bananas'
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badge: 'Medium'
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---
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### Example 1:
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- Input: `piles = [3,6,7,11], h = 8`
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- Output: `4`
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### Example 2:
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- Input: `piles = [30,11,23,4,20], h = 5`
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- Output: `30`
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### Example 3:
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- Input: `piles = [30,11,23,4,20], h = 6`
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- Output: `23`
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### Constraints:
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- `1 <= piles.length <= 10^4`
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- `piles.length <= h <= 10^9`
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- `1 <= piles[i] <= 10^9`
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## Approach
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```mermaid
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flowchart TD
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S(["minEatingSpeed(piles, h)"]) --> I["l = 1, r = max(piles)"]
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I --> W{"l < r?"}
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W -- no --> E(["return l — the smallest workable speed"])
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W -- yes --> M["mid = floor((l + r) / 2)"]
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M --> K["kWorks(mid): hours = sum of ceil(p / mid)"]
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K --> Q{"hours <= h?"}
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Q -- yes --> A["r = mid — keep mid, try slower"]
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Q -- no --> B["l = mid + 1 — too slow, speed up"]
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A --> W
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B --> W
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```
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## Solution
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```js
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/**
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* @param {number[]} piles
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* @param {number} h
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* @return {number}
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*/
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var minEatingSpeed = function(piles, h) {
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// Function to determine if K works for the H
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function kWorks(k){
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let hours = 0;
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for (let p of piles){
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hours += Math.ceil(p/k)
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}
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return hours <= h;
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}
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// Setup Binary Search
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let l = 1;
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let r = Math.max(...piles);
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// Find the K value which works for H and consumes all bananas
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while (l < r){
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const mid = Math.floor((l + r) / 2);
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if (kWorks(mid)){
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r = mid;
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}else{
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l = mid + 1;
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}
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}
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return l;
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};
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```
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