Minimum Cost to Hire K Workers — LeetCode 857 Python Solution

HardGreedyArraySortingHeap (Priority Queue)
Problem
#857
Reading time
3 min

The problem

There are n workers. You are given two integer arrays quality and wage where quality[i] is the quality of the ith worker and wage[i] is the minimum wage expectation for the ith worker.

Example

Input
quality = [10,20,5], wage = [70,50,30], k = 2
Output
105.00000
Explanation
We pay 70 to 0th worker and 35 to 2nd worker.

Python solution

Python
class Solution:
    def mincostToHireWorkers(
        self, quality: List[int], wage: List[int], k: int
    ) -> float:
        t = sorted(zip(quality, wage), key=lambda x: x[1] / x[0])
        ans, tot = inf, 0
        h = []
        for q, w in t:
            tot += q
            heappush(h, -q)
            if len(h) == k:
                ans = min(ans, w / q * tot)
                tot += heappop(h)
        return ans

Complexity

MeasureComplexity
TimeO(n log n)
SpaceO(1) to O(n) auxiliary

Pattern: Heap / Priority Queue

Keep only the best k elements, or always pull the smallest, in log time. LeetCode 857. Minimum Cost to Hire K Workers is filed here because LeetCode tags it Heap (Priority Queue), which is the vocabulary this hub collects.

The heap / priority queue guide has the Python template for the pattern and the 163 LeetCode problems that use it.

Related problems

Frequently asked questions

How hard is LeetCode 857. Minimum Cost to Hire K Workers?
LeetCode 857. Minimum Cost to Hire K Workers is rated Hard on LeetCode.
What topics does LeetCode 857. Minimum Cost to Hire K Workers cover?
LeetCode 857. Minimum Cost to Hire K Workers is tagged Greedy, Array, Sorting and Heap (Priority Queue) on LeetCode.

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