2033. Minimum Operations to Make a Uni-Value Grid
Read the full problem statement on LeetCode.
Difficulty: medium Acceptance: 67% Topics: Array, Math, Sorting, Matrix
View full problem on LeetCode Reading material
Reference solution (spoiler · python)
# Time: O(m * n) on average
# Space: O(m * n)
import random
class Solution(object):
def minOperations(self, grid, x):
"""
:type grid: List[List[int]]
:type x: int
:rtype: int
"""
def nth_element(nums, n, compare=lambda a, b: a < b):
def tri_partition(nums, left, right, target, compare):
mid = left
while mid <= right:
if nums[mid] == target:
mid += 1
elif compare(nums[mid], target):
nums[left], nums[mid] = nums[mid], nums[left]
left += 1
mid += 1
else:
nums[mid], nums[right] = nums[right], nums[mid]
right -= 1
return left, right
left, right = 0, len(nums)-1
while left <= right:
pivot_idx = random.randint(left, right)
pivot_left, pivot_right = tri_partition(nums, left, right, nums[pivot_idx], compare)
if pivot_left <= n <= pivot_right:
return
elif pivot_left > n:
right = pivot_left-1
else: # pivot_right < n.
left = pivot_right+1
nums = [v for row in grid for v in row]
if len(set(v%x for v in nums)) > 1:
return -1
nth_element(nums, len(nums)//2)
median = nums[len(nums)//2]
return sum(abs(v-median)//x for v in nums)
Solution from kamyu104/LeetCode-Solutions · MIT
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