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sort-integers-by-the-power-value.py
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# Time: O(n) on average
# Space: O(n)
import random
class Solution(object):
dp = {}
def getKth(self, lo, hi, k):
"""
:type lo: int
:type hi: int
:type k: int
:rtype: 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
def power_value(x):
y, result = x, 0
while x > 1 and x not in Solution.dp:
result += 1
if x%2:
x = 3*x + 1
else:
x //= 2
Solution.dp[y] = result + (Solution.dp[x] if x > 1 else 0)
return Solution.dp[y], y
arr = map(power_value, range(lo, hi+1))
nth_element(arr, k-1)
return arr[k-1][1]
# Time: O(nlogn)
# Space: O(n)
class Solution2(object):
dp = {}
def getKth(self, lo, hi, k):
"""
:type lo: int
:type hi: int
:type k: int
:rtype: int
"""
def power_value(x):
y, result = x, 0
while x > 1 and x not in Solution2.dp:
result += 1
if x%2:
x = 3*x + 1
else:
x //= 2
Solution2.dp[y] = result + (Solution2.dp[x] if x > 1 else 0)
return Solution2.dp[y], y
return sorted(range(lo, hi+1), key=power_value)[k-1]