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Sync LeetCode submission Runtime - 1147 ms (20.82%), Memory - 21.9 MB (84.79%)
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<p>You are given an integer array <code>ranks</code> representing the <strong>ranks</strong> of some mechanics. <font face="monospace">ranks<sub>i</sub></font> is the rank of the <font face="monospace">i<sup>th</sup></font> mechanic<font face="monospace">.</font> A mechanic with a rank <code>r</code> can repair <font face="monospace">n</font> cars in <code>r * n<sup>2</sup></code> minutes.</p>
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<p>You are also given an integer <code>cars</code> representing the total number of cars waiting in the garage to be repaired.</p>
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<p>Return <em>the <strong>minimum</strong> time taken to repair all the cars.</em></p>
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<p><strong>Note:</strong> All the mechanics can repair the cars simultaneously.</p>
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<p>&nbsp;</p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:</strong> ranks = [4,2,3,1], cars = 10
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<strong>Output:</strong> 16
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<strong>Explanation:</strong>
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- The first mechanic will repair two cars. The time required is 4 * 2 * 2 = 16 minutes.
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- The second mechanic will repair two cars. The time required is 2 * 2 * 2 = 8 minutes.
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- The third mechanic will repair two cars. The time required is 3 * 2 * 2 = 12 minutes.
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- The fourth mechanic will repair four cars. The time required is 1 * 4 * 4 = 16 minutes.
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It can be proved that the cars cannot be repaired in less than 16 minutes.​​​​​
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</pre>
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<p><strong class="example">Example 2:</strong></p>
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<pre>
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<strong>Input:</strong> ranks = [5,1,8], cars = 6
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<strong>Output:</strong> 16
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<strong>Explanation:</strong>
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- The first mechanic will repair one car. The time required is 5 * 1 * 1 = 5 minutes.
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- The second mechanic will repair four cars. The time required is 1 * 4 * 4 = 16 minutes.
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- The third mechanic will repair one car. The time required is 8 * 1 * 1 = 8 minutes.
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It can be proved that the cars cannot be repaired in less than 16 minutes.​​​​​
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</pre>
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<p>&nbsp;</p>
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<p><strong>Constraints:</strong></p>
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<ul>
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<li><code>1 &lt;= ranks.length &lt;= 10<sup>5</sup></code></li>
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<li><code>1 &lt;= ranks[i] &lt;= 100</code></li>
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<li><code>1 &lt;= cars &lt;= 10<sup>6</sup></code></li>
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</ul>
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# Approach 2: Space Optimized Binary Search
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# n = len(ranks), m = len(cars)
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# Time: O(n * log(m * max_rank))
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# Space: O(1)
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class Solution:
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def repairCars(self, ranks: List[int], cars: int) -> int:
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low, high = 1, cars * cars * max(ranks)
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while low < high:
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mid = (low + high) // 2
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cars_repaired = sum(int((mid / rank) ** 0.5) for rank in ranks)
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if cars_repaired < cars:
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low = mid + 1
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else:
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high = mid
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return low
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