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018_4Sum.py
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# 20.44%
class Solution(object):
def fourSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[List[int]]
"""
def threeSum(nums, start, size, target):
tuples = list()
while start <= size - 3:
left, right = start + 1, size - 1
goal = target - nums[start]
while left < right:
temp = nums[left] + nums[right]
if temp > goal:
right -= 1
while left < right and nums[right] == nums[right + 1]: right -= 1
elif temp < goal:
left += 1
while left < right and nums[left] == nums[left - 1]: left += 1
else:
tuple = [0] * 4
tuple[1], tuple[2], tuple[3] = nums[start], nums[left], nums[right]
left += 1
right -= 1
while left < right and nums[right] == nums[right + 1]: right -= 1
while left < right and nums[left] == nums[left - 1]: left += 1
tuples.append(tuple)
start += 1
while start <= size - 3 and nums[start] == nums[start - 1]: start += 1
return tuples
res, size = list(), len(nums)
first = 0
nums.sort()
while first <= size - 4:
tuples = threeSum(nums, first + 1, size, target - nums[first])
for tuple in tuples:
tuple[0] = nums[first]
res.append(tuple)
first += 1
while first <= size - 4 and nums[first] == nums[first - 1]: first += 1
return res
def fourSum(self, nums, target):
nums.sort()
results = []
self.findNsum(nums, target, 4, [], results)
return results
## In this way we can get N-Sums by O(n^(N - 1))
def findNsum(self, nums, target, N, result, results):
if len(nums) < N or N < 2: return
# solve 2-sum
if N == 2:
l,r = 0,len(nums)-1
while l < r:
if nums[l] + nums[r] == target:
results.append(result + [nums[l], nums[r]])
l += 1
r -= 1
while l < r and nums[l] == nums[l - 1]:
l += 1
while r > l and nums[r] == nums[r + 1]:
r -= 1
elif nums[l] + nums[r] < target:
l += 1
else:
r -= 1
else:
for i in range(0, len(nums)-N+1): # careful about range
if target < nums[i]*N or target > nums[-1]*N: # take advantages of sorted list
break
if i == 0 or i > 0 and nums[i-1] != nums[i]: # recursively reduce N
self.findNsum(nums[i+1:], target-nums[i], N-1, result+[nums[i]], results)
return