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4sum.py
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4sum.py
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# Time: O(n^3)
# Space: O(1)
# Given an array S of n integers,
# are there elements a, b, c, and d in S such that a + b + c + d = target?
# Find all unique quadruplets in the array which gives the sum of target.
#
# Note:
# Elements in a quadruplet (a,b,c,d) must be in non-descending order. (ie, a <= b <= c <= d)
# The solution set must not contain duplicate quadruplets.
# For example, given array S = {1 0 -1 0 -2 2}, and target = 0.
#
# A solution set is:
# (-1, 0, 0, 1)
# (-2, -1, 1, 2)
# (-2, 0, 0, 2)
#
# Two pointer solution. (1356ms)
class Solution(object):
def fourSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[List[int]]
"""
nums.sort()
res = []
for i in xrange(len(nums) - 3):
if i and nums[i] == nums[i - 1]:
continue
for j in xrange(i + 1, len(nums) - 2):
if j != i + 1 and nums[j] == nums[j - 1]:
continue
sum = target - nums[i] - nums[j]
left, right = j + 1, len(nums) - 1
while left < right:
if nums[left] + nums[right] == sum:
res.append([nums[i], nums[j], nums[left], nums[right]])
right -= 1
left += 1
while left < right and nums[left] == nums[left - 1]:
left += 1
while left < right and nums[right] == nums[right + 1]:
right -= 1
elif nums[left] + nums[right] > sum:
right -= 1
else:
left += 1
return res
# Time: O(n^2 * p)
# Space: O(n^2 * p)
# Hash solution. (224ms)
class Solution2(object):
def fourSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[List[int]]
"""
nums, result, lookup = sorted(nums), [], collections.defaultdict(list)
for i in xrange(0, len(nums) - 1):
for j in xrange(i + 1, len(nums)):
is_duplicated = False
for [x, y] in lookup[nums[i] + nums[j]]:
if nums[x] == nums[i]:
is_duplicated = True
break
if not is_duplicated:
lookup[nums[i] + nums[j]].append([i, j])
ans = {}
for c in xrange(2, len(nums)):
for d in xrange(c+1, len(nums)):
if target - nums[c] - nums[d] in lookup:
for [a, b] in lookup[target - nums[c] - nums[d]]:
if b < c:
quad = [nums[a], nums[b], nums[c], nums[d]]
quad_hash = " ".join(str(quad))
if quad_hash not in ans:
ans[quad_hash] = True
result.append(quad)
return result
# Time: O(n^2 * p) ~ O(n^4)
# Space: O(n^2)
class Solution3(object):
def fourSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[List[int]]
"""
nums, result, lookup = sorted(nums), [], collections.defaultdict(list)
for i in xrange(0, len(nums) - 1):
for j in xrange(i + 1, len(nums)):
lookup[nums[i] + nums[j]].append([i, j])
for i in lookup.keys():
if target - i in lookup:
for x in lookup[i]:
for y in lookup[target -i]:
[a, b], [c, d] = x, y
if a is not c and a is not d and b is not c and b is not d:
quad = sorted([nums[a], nums[b], nums[c], nums[d]])
if quad not in result:
result.append(quad)
return sorted(result)
if __name__ == '__main__':
result = Solution().fourSum([1, 0, -1, 0, -2, 2], 0)
print result