ann 1.1.2+doc-7 source package in Ubuntu

Changelog

ann (1.1.2+doc-7) unstable; urgency=medium

  * Import and merge upstream sources + patches to the package git repo.
  * Convert to dh, use multiarch paths.
  * control: Upgrade debian/compat to 11, Standards-Version to 4.1.3.
  * control: Adjust build-deps (closes: #865148).
  * control: Point Vcs-fields to salsa.
  * Fix inf-loop on clean and realclean targets on upstream Makefile.
  * New patch: makefile-infloop-fix.diff.
  * Do not remove figures on doc/Makefile clean target.
  * New patch: doc-makefile-clean.diff.
  * watch: Use https URL for upstream.
  * copyright: Fix LGPL name, https URL, update years.
  * control: cme fix.

 -- Teemu Ikonen <email address hidden>  Thu, 05 Apr 2018 14:32:43 +0200

Upload details

Uploaded by:
Debian Science Team on 2018-04-05
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2019-10-18 universe libs
Eoan release on 2019-04-18 universe libs
Disco release on 2018-10-30 universe libs
Cosmic release on 2018-05-05 universe libs

Downloads

File Size SHA-256 Checksum
ann_1.1.2+doc-7.dsc 2.1 KiB 57aa9dc58345ec05897a7eb53cf6b4249261ef09465e8eb0458070c829e22027
ann_1.1.2+doc.orig.tar.gz 677.7 KiB 1a8053e4f1ee284430758a2d864e567d9b4b08c0f6562460c9913497fafc78c1
ann_1.1.2+doc-7.debian.tar.xz 168.0 KiB a556b60a34bcae258268d9de6e5b19d0b273515dd928d40bcdbe7f4bfdc38652

Available diffs

No changes file available.

Binary packages built by this source

ann-tools: Approximate Nearest Neighbor Searching library (tools)

 ANN is a library written in C++, which supports data structures and
 algorithms for both exact and approximate nearest neighbor searching
 in arbitrarily high dimensions. ANN assumes that distances
 are measured using any class of distance functions called Minkowski
 metrics. These include the well known Euclidean distance, Manhattan
 distance, and max distance. ANN performs quite efficiently for point
 sets ranging in size from thousands to hundreds of thousands, and in
 dimensions as high as 20.
 .
 This package contains the ann2fig (display ANN output in fig format)
 and the ann_sample (a sample demonstration for ANN) programs.

ann-tools-dbgsym: debug symbols for ann-tools
libann-dev: Approximate Nearest Neighbor Searching library (development files)

 ANN is a library written in C++, which supports data structures and
 algorithms for both exact and approximate nearest neighbor searching
 in arbitrarily high dimensions. ANN assumes that distances
 are measured using any class of distance functions called Minkowski
 metrics. These include the well known Euclidean distance, Manhattan
 distance, and max distance. ANN performs quite efficiently for point
 sets ranging in size from thousands to hundreds of thousands, and in
 dimensions as high as 20.
 .
 This package contains the header files for developing applications
 with the ANN library.

libann0: Approximate Nearest Neighbor Searching library

 ANN is a library written in C++, which supports data structures and
 algorithms for both exact and approximate nearest neighbor searching
 in arbitrarily high dimensions. ANN assumes that distances
 are measured using any class of distance functions called Minkowski
 metrics. These include the well known Euclidean distance, Manhattan
 distance, and max distance. ANN performs quite efficiently for point
 sets ranging in size from thousands to hundreds of thousands, and in
 dimensions as high as 20.

libann0-dbgsym: debug symbols for libann0