内容简介：Dear Tumbleweed users and hackers,At SUSE we had so-called hackweek. Meaning everybody could do something out of their regular tasks and work for a week on something else they wish to invest time on. I used the time to finally get the ‘osc collab’ server b
Dear Tumbleweed users and hackers,
At SUSE we had so-called hackweek. Meaning everybody could do something out of their regular tasks and work for a week on something else they wish to invest time on. I used the time to finally get the ‘osc collab’ server back in shape (Migrated from SLE11SP4 to Leap 15.1) – And in turn handed ‘The Tumbleweed Release Manager hat’ over to Oliver Kurz, who expressed an interest in learning about the release Process for Tumbleweed. I think it was an interesting experiment for both of us: for him, to get something different done and for me to get some interesting questions as to why things are the way they are. Obviously, a fresh look from the outside gives some interesting questions and a few things translated in code changes on the tools in use (nothing major, but I’m sure discussions will go on)
As I stepped mostly back this week and handed RM tasks over to Oliver, that also means he will be posting the ‘Review of the week’ to the opensusefactory mailing list. For my fellow blog users, I will include it here directly for your reference.
What was happening this week and included in the published snapshots:
* KDE Applications 19.12.2 * KDE Plasma 5.18 * Linux Kernel 5.5.1 (which as some times in before posed a problem for owners of NVIDIA cards running proprietary drivers when Tumbleweed is too fast and drivers are not yet provided by NVIDIA in time for the new kernel version)²
What is still ongoing or in the process in stagings:
* Python 3.8 (salt, still brewing but progressing) * Removal of python 2 (in multiple packages) * glibc 2.31 (good progress but not done) * GNU make 4.3 * libcap 2.30: breaks fakeroot and drpm * RPM: change of the database format to ndb * MicroOS Desktop³
Have fun, Oliver
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多任务下的数据结构与算法
周伟明 / 华中科技 / 2006-4 / 58.00元
本书和传统同类书籍的区别是除了介绍基本的数据结构容器如栈、队列、链表、树、二叉树、红黑树、AVL树和图之外，引进了多任务；还介绍了将任意数据结构容器变成支持多任务的方法；另外，还增加了复合数据结构和动态数据结构等新内容的介绍。在复合数据结构中不仅介绍了哈希链表、哈希红黑树、哈希AVL树等容器，还介绍了复合数据结构的通用设计方法；在动态数据结构中主要介绍了动态环形队列、动态等尺寸内存管理算法。在内存......一起来看看 《多任务下的数据结构与算法》 这本书的介绍吧!
