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make-k-subarray-sums-equal.py
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make-k-subarray-sums-equal.py
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# Time: O(n)
# Space: O(n)
import random
# math, greedy, quick select
class Solution(object):
def makeSubKSumEqual(self, arr, k):
"""
:type arr: List[int]
:type k: int
:rtype: int
"""
def gcd(a, b):
while b:
a, b = b, a%b
return a
def nth_element(nums, n, left=0, 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
right = 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
l = gcd(k, len(arr))
result = 0
for i in xrange(l):
vals = [arr[j] for j in xrange(i, len(arr), l)]
nth_element(vals, len(vals)//2)
result += sum(abs(v-vals[len(vals)//2]) for v in vals)
return result