libmpikmeans 1.5+dfsg-7 source package in Ubuntu

Changelog

libmpikmeans (1.5+dfsg-7) unstable; urgency=medium

  * Correct broken Vcs-* fields (copy-pasta)
  * Drop d/*.dirs, the dh_* helpers create directories as needed
  * Move our custom manpages from d/ to d/man/
  * d/source/lintian-overrides:
    - Fix syntax issue
    - Add tag debian-watch-file-is-missing
      Upstream only provides a link to the current, unversioned download
  * gbp.conf: Get rid of the 'dfsg' branch
    Until now, the original upstream source was on branch 'upstream' and the
    DFSG-cleaned source on branch 'dfsg'. This has little to no benefit, but
    many downsides: it departs from common Debian workflows, and also
    represents extra maintenance work

 -- Christian Kastner <email address hidden>  Mon, 18 Feb 2019 19:47:28 +0100

Upload details

Uploaded by:
Christian Kastner on 2019-02-18
Uploaded to:
Sid
Original maintainer:
Christian Kastner
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 universe libs
Disco release on 2019-02-19 universe libs

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File Size SHA-256 Checksum
libmpikmeans_1.5+dfsg-7.dsc 2.2 KiB 6069047610eea81324bb7986beb7cfe955e8454d966d536ef70d578943d9172b
libmpikmeans_1.5+dfsg.orig.tar.gz 29.3 KiB ccd51fec840369d9fedcbab2836ca66d29d4bb4ca597509988d019c15e3e28b4
libmpikmeans_1.5+dfsg-7.debian.tar.xz 8.4 KiB 70735491ed3c52809af4fc9a3e136f2623a776adc377274659d3b133ffd2b901

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Binary packages built by this source

libmpikmeans-dev: Development libraries and header files for MPIKmeans

 This library uses an algorithm that yields the very same solution as standard
 k-means, even after each iteration. However, it uses triangle inequalities, and
 is much faster.
 .
 Note: MPI here does not refer to the Message Passing Interface; rather, it is
 an acronym for Max Planck Institute, where this algorithm was developed.
 .
 This package contains the header files and static libraries.

libmpikmeans1: Fast Library for k-means Clustering

 This library uses an algorithm that yields the very same solution as standard
 k-means, even after each iteration. However, it uses triangle inequalities, and
 is much faster.
 .
 Note: MPI here does not refer to the Message Passing Interface; rather, it is
 an acronym for Max Planck Institute, where this algorithm was developed.
 .
 This package contains the shared libraries.

libmpikmeans1-dbgsym: debug symbols for libmpikmeans1
mpikmeans-tools: Standalone applications for MPIKmeans

 This library uses an algorithm that yields the very same solution as standard
 k-means, even after each iteration. However, it uses triangle inequalities, and
 is much faster.
 .
 Note: MPI here does not refer to the Message Passing Interface; rather, it is
 an acronym for Max Planck Institute, where this algorithm was developed.
 .
 This package contains the standalone applications.

mpikmeans-tools-dbgsym: debug symbols for mpikmeans-tools
python-mpikmeans: Python bindings for MPIKmeans

 This library uses an algorithm that yields the very same solution as standard
 k-means, even after each iteration. However, it uses triangle inequalities, and
 is much faster.
 .
 Note: MPI here does not refer to the Message Passing Interface; rather, it is
 an acronym for Max Planck Institute, where this algorithm was developed.
 .
 This package contains the Python bindings. Both the old, ctypes-based and the
 new, Cython-based interfaces are provided.

python-mpikmeans-dbgsym: debug symbols for python-mpikmeans