By means of this data protection declaration, our enterprise would like to inform the general public of the nature, scope, and purpose of the personal data we collect, use and process. The processing of personal data, such as the name, address, e-mail address, or telephone number of a data subject shall always be in line with the General Data Protection Regulation (GDPR), and in accordance with the country-specific data protection regulations applicable to the KLiB. If the processing of personal data is necessary and there is no statutory basis for such processing, we generally obtain consent from the data subject. ![]() The use of these Internet pages is possible without any indication of personal data however, if a data subject wants to use special enterprise services via our website, processing of personal data could become necessary. Data protection is of a particularly high priority for the management of the Kompetenznetzwerk Lithium-Ionen-Batterien (KLiB) e. Typically after generating it once it's customized but sometimes the ability to edit the generator and re-generate it might take priority.We are very delighted that you have shown interest in our homepage. This isn't as common as the other three but you definitely see it. Writing code that generates the code for the container for each type you need. This tends to be less than ideal because of both the pointer chasing and storing additional pointers, but it beats the void* approach, and is better than poor implementations of the others, assuming you can do the data structure you want this way. This only works in some cases (lists, trees, and chained hash tables), but basically the idea is that you put the shared part of the data structure as a struct at the front (or in the middle if the implementation does some offsetof math) of your type, and then all the operations use that. ![]() This is still not ideal for some applications that require many containers (this is the minority of all applications, in my experience!). Doesn't end up being a problem nearly* as often as some people think (e.g., you don't spend much time writing data structure code), as you only write the subset for what you actually need at the time (A hash-table is fairly easy if you only need get-or-insert, exists, and clear), and you don't tend to need these data structures as much as you might think. In my experience, this is the most common for performance-critical code. Custom data structures for your use-case. no type safety, poor performance, frequently requires allocations if you want to store more than sizeof(void ), forces the compiler to generate poor code. Writing a generic implementation that takes a void* (or suitable "any" type). The two can co-exist quite nicely - I can easily see a glib application using klib data structures along critical paths. ![]() Klib is written for doing data analysis and serialization in C, with two releases in four years and no stability claims. Most of glib's data structures are highly unoptimized simply because they don't need to run in critical paths of whatever applications they're used in optimizing would be mostly premature (with some caveats GSequence was added because of the need for a higher performance list-like container, GHashTable got a lot of love a few years ago because it turned out to be awful, etc). ![]() Glib is a platform and portability library that evolved away from gtk+, with the goal being to make event driven programming simpler, both for system daemons and Gtk+ applications. This is really not a "standalone and lightweight glib", this is a generic data structure library in C, and it's quite blatantly obvious they're designed for different purposes.
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