## beta-recsys v0.1 版本发布啦！🎉🎉🎉

我们的 beta-recsys v0. 1 版本发布了！这是一个基于 pytorch 的推荐系统来源平台，我们致力于整合更多的推荐系统模型，为推荐系统这个社区提供一个公平比较的平台，同时推进代码的可复现性！**Github**: https://github.com/beta-team/beta-recsys

**teaser video:**https://vimeo.com/456391232

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我们的 beta-recsys v0. 1 版本发布了！这是一个基于 pytorch 的推荐系统来源平台，我们致力于整合更多的推荐系统模型，为推荐系统这个社区提供一个公平比较的平台，同时推进代码的可复现性！**Github**: https://github.com/beta-team/beta-recsys

**teaser video:**https://vimeo.com/456391232

There are several cards **arranged in a row**, and each card has an associated number of points The points are given in the integer array `cardPoints`

.

In one step, you can take one card from the beginning or from the end of the row. You have to take exactly `k`

cards.

Your score is the sum of the points of the cards you have taken.

Given the integer array `cardPoints`

and the integer `k`

, return the *maximum score* you can obtain.

Given an array of integers `target`

. From a starting array, `A`

consisting of all 1’s, you may perform the following procedure :

- let
`x`

be the sum of all elements currently in your array. - choose index
`i`

, such that`0 <= i < target.size`

and set the value of`A`

at index`i`

to`x`

. - You may repeat this procedure as many times as needed.

Return True if it is possible to construct the `target`

array from `A`

otherwise return False.

Given an array of non-negative integers `nums`

, you are initially positioned at the first index of the array.

Each element in the array represents your maximum jump length at that position.

Your goal is to reach the last index in the minimum number of jumps.

You can assume that you can always reach the last index.