78. Subsets
Read the full problem statement on LeetCode.
Difficulty: medium Acceptance: 81% Topics: Array, Backtracking, Bit Manipulation
View full problem on LeetCode Reading material
Reference solution (spoiler · python)
# Time: O(n * 2^n)
# Space: O(1)
class Solution(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
nums.sort()
result = [[]]
for i in xrange(len(nums)):
size = len(result)
for j in xrange(size):
result.append(list(result[j]))
result[-1].append(nums[i])
return result
# Time: O(n * 2^n)
# Space: O(1)
class Solution2(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
result = []
i, count = 0, 1 << len(nums)
nums.sort()
while i < count:
cur = []
for j in xrange(len(nums)):
if i & 1 << j:
cur.append(nums[j])
result.append(cur)
i += 1
return result
# Time: O(n * 2^n)
# Space: O(1)
class Solution3(object):
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
return self.subsetsRecu([], sorted(nums))
def subsetsRecu(self, cur, nums):
if not nums:
return [cur]
return self.subsetsRecu(cur, nums[1:]) + self.subsetsRecu(cur + [nums[0]], nums[1:])
Solution from kamyu104/LeetCode-Solutions · MIT