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libgclib package

libgclib 0.12.7+ds-5ubuntu1 source package in Ubuntu

Changelog

libgclib (0.12.7+ds-5ubuntu1) noble; urgency=medium

  * Rename libgclib3 package as although it is not affected by the
    time_t transition to 64-bits, it is affected by the LFS migration
    which is implied by the time_t changes.

 -- Michael Hudson-Doyle <email address hidden>  Fri, 19 Apr 2024 12:08:16 +1200

Upload details

Uploaded by:
Michael Hudson-Doyle
Uploaded to:
Noble
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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Downloads

File Size SHA-256 Checksum
libgclib_0.12.7+ds.orig.tar.gz 250.6 KiB d9e5d89b1f9c696dac329a2788c535e49fabde1fec3524b6882c00309d1b375a
libgclib_0.12.7+ds-5ubuntu1.debian.tar.xz 14.8 KiB a50bc19774c0710e7085b0de4096f6b9e803a0391a797433ee18d5687fda027d
libgclib_0.12.7+ds-5ubuntu1.dsc 2.2 KiB 74c254092fea16e0f5ad52d007480f8db59f041838f9a430de8446f9438348fe

View changes file

Binary packages built by this source

libgclib-dev: header files for Genome Code Lib (GCLib)

 This is an eclectic gathering of (mostly) C++ code which upstream used
 for some bioinformatics projects. The main idea is to provide
 lean code and efficient data structures, trying to avoid too many code
 dependencies of heavy libraries while minimizing production cycles (and
 this also implies a decent compile/build time -- looking at you,
 bloated configure scripts and lengthy compile times of Boost code or
 other heavy C++ template code..).
 .
 This code was gathered even before the C++ STL had been fully adopted as
 a cross-platform "standard". Since STL by itself is a bit heavier for
 most of the C++ needs, it is preferred to use simpler&leaner C++ classes
 or templates for basic strings, containers, basic algorithms etc.
 .
 Header files of Genome Code Lib. It is mainly known for being
 used by StringTie but with its own release cycle.

libgclib3t64: C++ library to handle biological short sequence data

 This is an eclectic gathering of (mostly) C++ code which upstream used
 for some bioinformatics projects. The main idea is to provide
 lean code and efficient data structures, trying to avoid too many code
 dependencies of heavy libraries while minimizing production cycles (and
 this also implies a decent compile/build time -- looking at you,
 bloated configure scripts and lengthy compile times of Boost code or
 other heavy C++ template code..).
 .
 This code was gathered even before the C++ STL had been fully adopted as
 a cross-platform "standard". Since STL by itself is a bit heavier for
 most of the C++ needs, it is preferred to use simpler&leaner C++ classes
 or templates for basic strings, containers, basic algorithms etc.