digitalmars.D.announce - Hunt 1.4.0 released
- zoujiaqing (43/43) Oct 14 2019 Hunt is an extension library of D language standard library,
- zoujiaqing (3/7) Oct 14 2019 You can find some sample code in examples:
- WebFreak001 (3/11) Oct 15 2019 very cool, but it's really desperately missing documentation
- zoujiaqing (3/15) Oct 19 2019 Yes, we will add comments faster to generate documents. Thank you
Hunt is an extension library of D language standard library, which is equivalent to boost in C++. The core of Hunt is event-driven network IO base library. It supports epoll, IOCP and kqueue. It has excellent IO performance and friendly API. In addition, it provides Java container types and concurrent modules implemented in pure DLang, common modules such as logging, JSON and object binding, as well as several tool classes, such as DataTime Helper, Timer, MimeType, Configuration, UnitTest, etc. Many HuntLabs frameworks rely on this core library. The stability of network IO module under each platform is further enhanced, and the APIs of some core modules and container modules are added and reduced. Improving the implementation of modules such as JSON serialization and value member generation. * Improving IOCP encapsulation and repairing some data duplicate sending under Windows platform; * Fixed the problem that the destructor calls the GC operation again, resulting in random memory errors in APP. * Map type adds clone interface; * Based on the latest DMD standard library, the implementation of atomic operation getAndSet is improved. * Enhance JSON serialization operation, support more complex type structure, and improve unit testing; * Improving the implementation of mixed template ValuesMemberTempate to ensure the thread safety and delay initialization of valuesMemberTempate members; * It strengthens the exception capture of TcpStream module to better record cross-thread exceptions. * Add more comments such as Ignore to UnitTest; * Remove Radix modules that are rarely used; * Float and Double modules add multiple APIs and fix some bugs. * The debugging log information prompt was improved to describe the error more accurately. Compiler requirements: * Recommendation DMD 2.088+ Source code: https://code.dlang.org/packages/hunt Github repository: https://github.com/huntlabs/hunt About I/O performance test: https://www.techempower.com/benchmarks/#section=test&runid=97ff3ef2-df44-4e39-9dbf-bab1321c8ee6&hw=ph&test=plaintext
Oct 14 2019
On Tuesday, 15 October 2019 at 06:16:07 UTC, zoujiaqing wrote:Hunt is an extension library of D language standard library, which is equivalent to boost in C++. The core of Hunt is event-driven network IO base library. It supports epoll, IOCP and kqueue. It has excellent IO performance and friendly API.You can find some sample code in examples: https://github.com/huntlabs/hunt/tree/master/examples
Oct 14 2019
On Tuesday, 15 October 2019 at 06:17:00 UTC, zoujiaqing wrote:On Tuesday, 15 October 2019 at 06:16:07 UTC, zoujiaqing wrote:very cool, but it's really desperately missing documentation additionally to the examples!Hunt is an extension library of D language standard library, which is equivalent to boost in C++. The core of Hunt is event-driven network IO base library. It supports epoll, IOCP and kqueue. It has excellent IO performance and friendly API.You can find some sample code in examples: https://github.com/huntlabs/hunt/tree/master/examples
Oct 15 2019
On Tuesday, 15 October 2019 at 10:51:34 UTC, WebFreak001 wrote:On Tuesday, 15 October 2019 at 06:17:00 UTC, zoujiaqing wrote:Yes, we will add comments faster to generate documents. Thank you for your support!On Tuesday, 15 October 2019 at 06:16:07 UTC, zoujiaqing wrote:very cool, but it's really desperately missing documentation additionally to the examples!Hunt is an extension library of D language standard library, which is equivalent to boost in C++. The core of Hunt is event-driven network IO base library. It supports epoll, IOCP and kqueue. It has excellent IO performance and friendly API.You can find some sample code in examples: https://github.com/huntlabs/hunt/tree/master/examples
Oct 19 2019