问题描述
我有一个数字列表,例如
I have a list of numbers, e.g.
numbers = [1, 2, 3, 7, 7, 9, 10]
如您所见,数字在此列表中可能会出现多次。
As you can see, numbers may appear more than once in this list.
我需要获取具有给定总和的这些数字的所有组合,例如 10
。
I need to get all combinations of these numbers that have a given sum, e.g. 10
.
组合中的项目可能不会重复,但是数字
中的每个项目都必须唯一对待,即意味着列表中的两个 7
表示具有相同值的不同项目。
The items in the combinations may not be repeated, but each item in numbers
has to be treated uniquely, that means e.g. the two 7
in the list represent different items with the same value.
顺序并不重要,因此 [1,9]
和 [9,1]
是相同的组合。
The order is unimportant, so that [1, 9]
and [9, 1]
are the same combination.
组合没有长度限制, [10]
与 [1、2、7]一样有效
。
There are no length restrictions for the combinations, [10]
is as valid as [1, 2, 7]
.
如何创建满足上述条件的所有组合的列表?
在此示例中,它是 [[1,2,7],[1,2,7],[1,9],[3,7],[ 3,7],[10]]
推荐答案
您可以使用itertools遍历每个组合每种可能的大小,并过滤掉所有不等于10的内容:
You could use itertools to iterate through every combination of every possible size, and filter out everything that doesn't sum to 10:
import itertools
numbers = [1, 2, 3, 7, 7, 9, 10]
result = [seq for i in range(len(numbers), 0, -1) for seq in itertools.combinations(numbers, i) if sum(seq) == 10]
print result
结果:
[(1, 2, 7), (1, 2, 7), (1, 9), (3, 7), (3, 7), (10,)]
不幸的是,这有点像O(2 ^ N)复杂度,所以它不是不适合大于20个元素的输入列表。
Unfortunately this is something like O(2^N) complexity, so it isn't suitable for input lists larger than, say, 20 elements.
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