-
Notifications
You must be signed in to change notification settings - Fork 0
/
0039.py
53 lines (49 loc) · 1.98 KB
/
0039.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
# Source: https://leetcode.com/problems/combination-sum
# Title: Combination Sum
# Difficulty: Medium
# Author: Mu Yang <http://muyang.pro>
################################################################################################################################
# Given an array of distinct integers candidates and a target integer target, return a list of all unique combinations of candidates where the chosen numbers sum to target. You may return the combinations in any order.
#
# The same number may be chosen from candidates an unlimited number of times. Two combinations are unique if the frequency of at least one of the chosen numbers is different.
#
# It is guaranteed that the number of unique combinations that sum up to target is less than 150 combinations for the given input.
#
# Example 1:
#
# Input: candidates = [2,3,6,7], target = 7
# Output: [[2,2,3],[7]]
# Explanation:
# 2 and 3 are candidates, and 2 + 2 + 3 = 7. Note that 2 can be used multiple times.
# 7 is a candidate, and 7 = 7.
# These are the only two combinations.
#
# Example 2:
#
# Input: candidates = [2,3,5], target = 8
# Output: [[2,2,2,2],[2,3,3],[3,5]]
#
# Example 3:
#
# Input: candidates = [2], target = 1
# Output: []
#
# Constraints:
#
# 1 <= candidates.length <= 30
# 1 <= candidates[i] <= 200
# All elements of candidates are distinct.
# 1 <= target <= 500
#
################################################################################################################################
class Solution:
def combinationSum(self, candidates: List[int], target: int) -> List[List[int]]:
candidates.sort(reverse=True)
yield from self.combinationSumInner(candidates, target)
def combinationSumInner(self, candidates, target, *solution):
if target <= 0:
if target == 0:
yield solution
return
for i, c in enumerate(candidates):
yield from self.combinationSumInner(candidates[i:], target-c, *solution, c)