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Added 4Sums readme file and code
  • Loading branch information
ManasBhilare authored Oct 6, 2021
commit f143adb639ec5ea9ffa289ba1bab871362c3dbc4
18 changes: 18 additions & 0 deletions 0018/4Sums.py
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class Solution:
def fourSum(self, nums: List[int], target: int) -> List[List[int]]:
ans = set()
nums.sort()
for i in range(len(nums) - 3):
for j in range(i + 1, len(nums) - 2):
lo = j + 1
hi = len(nums) - 1
while lo < hi:
s = nums[i] + nums[j] + nums[lo] + nums[hi]
if s == target:
ans.add((nums[i], nums[j], nums[lo], nums[hi]))
lo += 1
elif s < target:
lo += 1
else:
hi -= 1
return list(ans)
27 changes: 27 additions & 0 deletions 0018/README.md
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@@ -0,0 +1,27 @@
# 4Sums

Given an array nums of n integers, return an array of all the unique quadruplets [nums[a], nums[b], nums[c], nums[d]] such that:

0 <= a, b, c, d < n
a, b, c, and d are distinct.
nums[a] + nums[b] + nums[c] + nums[d] == target
You may return the answer in any order.



## Example 1:

Input: nums = [1,0,-1,0,-2,2], target = 0
Output: [[-2,-1,1,2],[-2,0,0,2],[-1,0,0,1]]

## Example 2:

Input: nums = [2,2,2,2,2], target = 8
Output: [[2,2,2,2]]


## Constraints:

1 <= nums.length <= 200
-109 <= nums[i] <= 109
-109 <= target <= 109