=============================================================== Announcing Blosc 1.1.4 A blocking, shuffling and lossless compression library ===============================================================
What is new? ============ - Redefinition of the BLOSC_MAX_BUFFERSIZE constant as (INT_MAX - BLOSC_MAX_OVERHEAD) instead of just INT_MAX. This prevents to produce outputs larger than INT_MAX, which is not supported. - `exit()` call has been replaced by a ``return -1`` in blosc_compress() when checking for buffer sizes. Now programs will not just exit when the buffer is too large, but return a negative code. - Improvements in explicit casts. Blosc compiles without warnings (with GCC) now. - Lots of improvements in docs, in particular a nice ascii-art diagram of the Blosc format (Valentin Haenel). - [HDF5 filter] Adapted HDF5 filter to use HDF5 1.8 by default (Antonio Valentino). For more info, please see the release notes in: https://github.com/FrancescAlted/blosc/wiki/Release-notes What is it? =========== Blosc (http://blosc.pytables.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc is the first compressor (that I'm aware of) that is meant not only to reduce the size of large datasets on-disk or in-memory, but also to accelerate object manipulations that are memory-bound. It also comes with a filter for HDF5 (http://www.hdfgroup.org/HDF5) so that you can easily implement support for Blosc in your favourite HDF5 tool. Download sources ================ Please go to main web site: http://blosc.pytables.org/sources/ or the github repository: https://github.com/FrancescAlted/blosc and download the most recent release from there. Blosc is distributed using the MIT license, see LICENSES/BLOSC.txt for details. Mailing list ============ There is an official Blosc blosc mailing list at: bl...@googlegroups.com http://groups.google.es/group/blosc ---- **Enjoy data!** -- Francesc Alted ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://ad.doubleclick.net/clk;258768047;13503038;j? http://info.appdynamics.com/FreeJavaPerformanceDownload.html _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
