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643.maximum-average-subarray-i.py
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68 lines (46 loc) · 1.44 KB
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import unittest
# Maximum Average Subarray I
# Category Difficulty Likes Dislikes
# algorithms Easy (44.39%) 3717 345
# Tags
# Companies
# You are given an integer array nums consisting of n elements, and an integer k.
# Find a contiguous subarray whose length is equal to k that has the maximum average value and return this value. Any answer with a calculation error less than 10-5 will be accepted.
# Example 1:
# Input: nums = [1,12,-5,-6,50,3], k = 4
# Output: 12.75000
# Explanation: Maximum average is (12 - 5 - 6 + 50) / 4 = 51 / 4 = 12.75
# Example 2:
# Input: nums = [5], k = 1
# Output: 5.00000
# Constraints:
# n == nums.length
# 1 <= k <= n <= 105
# -104 <= nums[i] <= 104
# Submissions | Solution
#
# @lc app=leetcode id=643 lang=python3
#
# [643] Maximum Average Subarray I
#
# @lc code=start
class Solution:
def findMaxAverage(self, nums: list[int], k: int) -> float:
curr = maxsum = sum(nums[:k])
for i in range(k, len(nums), +1):
curr += nums[i] - nums[i - k]
if curr > maxsum:
maxsum = curr
return maxsum / k
# @lc code=end
class TestRoot(unittest.TestCase):
def test(self):
sol = Solution()
inp = [1,12,-5,-6,50,3], 4
outp = sol.findMaxAverage(*inp)
self.assertEqual(outp, 12.75000)
inp = [5], 1
outp = sol.findMaxAverage(*inp)
self.assertEqual(outp, 5)
if __name__ == '__main__':
unittest.main()