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如何通过减少循环和条件来优化我的代码

[英]How can i optimize my code by reducing the looping and conditioning

Here's my problem:这是我的问题:

Given a list of numbers and the number 'k', return whether any two numbers from the list add up to 'k'给定一个数字列表和数字“k”,返回列表中的任意两个数字是否加起来为“k”

For example, given [1,2,5,6] where k is 7, return True since 2+5 is 7.例如,给定[1,2,5,6]其中k是 7,返回True因为 2+5 是 7。

Here's my code;这是我的代码; I'd like some help on how to vectorize it.我想要一些关于如何矢量化它的帮助。

L = [3,4,1]
k = 5
for i in L:
    for j in L:
        if i+j == k:
            print("True")
            break
    if i+j == k:
        break

Vectorization doesn't seem like it would help here.矢量化似乎在这里没有帮助。

However, I propose a new algorithm that reduces complexity to O(N) from O(N^2):但是,我提出了一种新算法,将复杂度从 O(N^2) 降低到 O(N):

L = [3,4,1]
Lset = set(L)
k = 5

for x in L:
    if k - x in Lset:
        print("True")
        break

I think the algorithm is fairly self-explanatory!我认为该算法是不言自明的! :) It basically iterates through L and, for each number, checks if its "complimentary" (the number required to satisfy x + complimentary == k ) is present in the list (converted to a set for lower membership check cost). :) 它基本上遍历L并且,对于每个数字,检查它的“免费”(满足x + complimentary == k所需的数字)是否存在于列表中(转换为一组以降低成员资格检查成本)。

If you don't want to count cases like L = [1] , k = 2 , you can do this:如果您不想计算L = [1] , k = 2 ,您可以这样做:

for x in L:
    if k - x in Lset:
        if k - x == x and L.count(x) < 2:
            continue
        print("True")
        break

使用 itertools.combinations(L, 2) 为您提供所有 2 个长度的序列

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