zmat 0.9.8+ds-6 source package in Ubuntu

Changelog

zmat (0.9.8+ds-6) unstable; urgency=medium

  * Team upload
  * d/control: Bump Standards-Version to 4.6.0 (no changes needed)
  * d/p/honor-cflags-cppflags-ldflags.patch: New patch
  * d/copyright: Update copyright year for the debian/* files

 -- Rafael Laboissière <email address hidden>  Sat, 20 Nov 2021 17:00:03 -0300

Upload details

Uploaded by:
Debian Octave Group
Uploaded to:
Sid
Original maintainer:
Debian Octave Group
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
zmat_0.9.8+ds-6.dsc 2.2 KiB 1967537c4062db60cbc729206d5778caa97ac682528415afbe148d4a03408918
zmat_0.9.8+ds.orig.tar.gz 132.5 KiB 6b2a7e828f799a15c680c8e477db0d7caa999ec1fd0ce88878d3de2caf6dc3f0
zmat_0.9.8+ds-6.debian.tar.xz 6.6 KiB 2b8688adb483e2ff7fec9a703b0bb09a3a22a4a14ec77e2aa1fbc7826a548216

Available diffs

No changes file available.

Binary packages built by this source

libzmat-dev: No summary available for libzmat-dev in ubuntu kinetic.

No description available for libzmat-dev in ubuntu kinetic.

libzmat1: compression library - runtime

 ZMat is a portable C library to enable easy-to-use data compression
 and decompression (such as zlib/gzip/lzma/lzip/lz4/lz4hc algorithms)
 and base64 encoding/decoding in an application.
 It is fast and compact, can process a large array within a fraction
 of a second. Among the supported compression methods, lz4 is the
 fastest for compression/decompression; lzma is the slowest but has
 the highest compression ratio; zlib/gzip have the best balance
 between speed and compression time.

libzmat1-dbgsym: debug symbols for libzmat1
matlab-zmat: No summary available for matlab-zmat in ubuntu kinetic.

No description available for matlab-zmat in ubuntu kinetic.

octave-zmat: in-memory data compression for Octave

 ZMat is a portable mex function to enable zlib/gzip/lzma/lzip/lz4/lz4hc
 based data compression/decompression and base64 encoding/decoding support
 in MATLAB and GNU Octave. It is fast and compact, can process a large
 array within a fraction of a second. Among the 6 supported compression
 methods, lz4 is the fastest for compression/decompression; lzma is the
 slowest but has the highest compression ratio; zlib/gzip have the best
 balance between speed and compression time.

octave-zmat-dbgsym: debug symbols for octave-zmat