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the-k-strongest-values-in-an-array.py
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the-k-strongest-values-in-an-array.py
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# Time: O(nlogn)
# Space: O(1)
class Solution(object):
def getStrongest(self, arr, k):
"""
:type arr: List[int]
:type k: int
:rtype: List[int]
"""
arr.sort()
m = arr[(len(arr)-1)//2]
result = []
left, right = 0, len(arr)-1
while len(result) < k:
if m-arr[left] > arr[right]-m:
result.append(arr[left])
left += 1
else:
result.append(arr[right])
right -= 1
return result
# Time: O(nlogn)
# Space: O(1)
class Solution2(object):
def getStrongest(self, arr, k):
"""
:type arr: List[int]
:type k: int
:rtype: List[int]
"""
arr.sort()
m = arr[(len(arr)-1)//2]
arr.sort(key=lambda x: (-abs(x-m), -x))
return arr[:k]
# Time: O(n)
# Space: O(1)
import random
class Solution_TLE(object):
def getStrongest(self, arr, k):
"""
:type arr: List[int]
:type k: int
:rtype: List[int]
"""
def nth_element(nums, n, compare=lambda a, b: a < b):
def partition_around_pivot(left, right, pivot_idx, nums, compare):
new_pivot_idx = left
nums[pivot_idx], nums[right] = nums[right], nums[pivot_idx]
for i in xrange(left, right):
if compare(nums[i], nums[right]):
nums[i], nums[new_pivot_idx] = nums[new_pivot_idx], nums[i]
new_pivot_idx += 1
nums[right], nums[new_pivot_idx] = nums[new_pivot_idx], nums[right]
return new_pivot_idx
left, right = 0, len(nums) - 1
while left <= right:
pivot_idx = random.randint(left, right)
new_pivot_idx = partition_around_pivot(left, right, pivot_idx, nums, compare)
if new_pivot_idx == n:
return
elif new_pivot_idx > n:
right = new_pivot_idx - 1
else: # new_pivot_idx < n
left = new_pivot_idx + 1
nth_element(arr, (len(arr)-1)//2)
m = arr[(len(arr)-1)//2]
nth_element(arr, k, lambda a, b: abs(a-m) > abs(b-m) if abs(a-m) != abs(b-m) else a > b)
return arr[:k]