描述
Given a set of distinct integers, nums, return all possible subsets
(the power set).
Note:
The solution set must not contain duplicate subsets.
For example,
If nums = [1,2,3], a solution is:[ [3], [1], [2], [1,2,3], [1,3], [2,3], [1,2], [] ]
class Solution:
def subsets(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
cur_array=[[],]
for num in nums:
self.dfs(cur_array,num)
# print(cur_array)
return cur_array
def dfs(self,cur_array,num_in):
# new_array1=cur_array.append(num_in)
# new_array2=cur_array
# print(num_in)
new_array=list(map(lambda x:x+[num_in],cur_array))
# print(list(new_array))
cur_array.extend(new_array)
if __name__=='__main__':
st=Solution()
st.subsets([1,2,3])
解释:就是普通的动态规划吧,找准规律,所有数字过一遍,每个数字都有添加和不被添加两种情况,所有情况的综合
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