Maximum Average Pass Ratio — LeetCode 1792 Python Solution

MediumGreedyArrayHeap (Priority Queue)
Problem
#1792
Reading time
2 min

The problem

There is a school that has classes of students and each class will be having a final exam. You are given a 2D integer array classes, where classes[i] = [passi, totali].

Example

Input
classes = [[1,2],[3,5],[2,2]], extraStudents = 2
Output
0.78333
Explanation
You can assign the two extra students to the first class. The average pass ratio will be equal to (3/4 + 3/5 + 2/2) / 3 = 0.78333.

Python solution

Python
class Solution:
    def maxAverageRatio(self, classes: List[List[int]], extraStudents: int) -> float:
        h = [(a / b - (a + 1) / (b + 1), a, b) for a, b in classes]
        heapify(h)
        for _ in range(extraStudents):
            _, a, b = heappop(h)
            a, b = a + 1, b + 1
            heappush(h, (a / b - (a + 1) / (b + 1), a, b))
        return sum(v[1] / v[2] for v in h) / len(classes)

Complexity

MeasureComplexity
TimeO(n \times \log n)
SpaceO(n) auxiliary

Pattern: Heap / Priority Queue

Keep only the best k elements, or always pull the smallest, in log time. LeetCode 1792. Maximum Average Pass Ratio 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 1792. Maximum Average Pass Ratio?
LeetCode 1792. Maximum Average Pass Ratio is rated Medium on LeetCode.
What is the time complexity of LeetCode 1792. Maximum Average Pass Ratio?
The Python solution on this page runs in O(n \times \log n).
What is the space complexity of LeetCode 1792. Maximum Average Pass Ratio?
The Python solution on this page uses O(n) auxiliary space.
What topics does LeetCode 1792. Maximum Average Pass Ratio cover?
LeetCode 1792. Maximum Average Pass Ratio is tagged Greedy, Array and Heap (Priority Queue) on LeetCode.

Stuck on problems like this in a live interview?

Stealth Interview is a desktop app for macOS and Windows. It reads the problem off your screen and returns a working solution with a step-by-step explanation and its time and space complexity — invisible to screen sharing.

Get Stealth Interview