PracticeLevel 5: AlgorithmsEx 125. Mini OA: meeting rooms
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Level 5Exercise #125

Mini OA: meeting rooms

Given meeting intervals, return the minimum rooms required.

What you’ll practice

This Level 5 exercise focuses on heap scheduling in the Algorithms curriculum. Solve the challenge prompt above using clear, idiomatic Python and the relevant language or standard-library tools.

Relevant Python reference: heapq — Heap queue algorithm.

Sample Test Cases

Example #1
Input:min_rooms([(0,30),(5,10),(15,20)])
Output:2

Further Reading

Reference Solution

Reveal Reference Solution
def min_rooms(intervals: list[tuple[int,int]]) -> int:
import heapq
rooms = []
for start, end in sorted(intervals):
if rooms and rooms[0] <= start:
heapq.heapreplace(rooms, end)
else:
heapq.heappush(rooms, end)
return len(rooms)
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solution.py· Python 3.11 WASM