class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
nums.sort()
results = []
def findNsum(l, r, target, n, result, results):
if r-l+1<n or n<2 or target < nums[l]*n or target > nums[r]*n:
return
if n ==2:
while l < r:
s = nums[l]+nums[r]
if s == target:
results.append(result+[nums[l], nums[r]])
l+=1
while l<r and nums[l]==nums[l-1]:
l+=1
elif s < target:
l+=1
else:
r-=1
else:
for i in range(l, r+1):
if i == l or (i > l and nums[i-1] != nums[i]):
findNsum(i+1, r, target-nums[i], n-1,
result+[nums[i]],results)
findNsum(0, len(nums)-1, target, 4, [], results)
return res
Runtime: 84 ms, faster than 92.68% of Python3 online submissions for 4Sum.
Memory Usage: 12.8 MB, less than 100.00% of Python3 online submissions for 4Sum.
双指针
class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
n = len(nums)
if n < 4:
return []
nums.sort()
res = []
for i in range(n-3):
if i > 0 and nums[i] == nums[i-1]:
continue
if nums[i] + nums[i+1] + nums[i+2] + nums[i+3] > target:
break
if nums[i] + nums[n-1] + nums[n-2] + nums[n-3] < target:
continue
for j in range(i+1, n-2):
if j - i > 1 and nums[j] == nums[j-1]:
continue
if nums[i] + nums[j] + nums[j+1] + nums[j+2] > target:
break
if nums[i] + nums[j] + nums[n-1] + nums[n-2] < target:
continue
left = j + 1
right = n - 1
while left < right:
tmp = nums[i] + nums[j] + nums[left] + nums[right]
if tmp == target:
res.append([nums[i], nums[j], nums[left], nums[right]])
while left < right and nums[left] == nums[left+1]:
left += 1
while left < right and nums[right] == nums[right-1]:
right -= 1
left += 1
right -= 1
elif tmp > target:
right -= 1
else:
left += 1
return res
Runtime: 92 ms, faster than 86.42% of Python3 online submissions for 4Sum.
Memory Usage: 12.7 MB, less than 100.00% of Python3 online submissions for 4Sum.