Ubuntu
ann package

ann 1.1.2+doc-6 source package in Ubuntu

Changelog

ann (1.1.2+doc-6) unstable; urgency=medium

  * Team upload.

  [ Helmut Grohne ]
  * Fix FTCBFS: Support DEB_BUILD_OPTIONS=nocheck.  Closes: #846833

  [ Lucas Kanashiro ]
  * Fix autopkgtests.  Closes: #768107

  [ Mattia Rizzolo ]
  * d/control: use HTTPS in Vcs-* fields.
  * d/control: drop now useless XS-Testsuite:autopkgtest field.
  * Drop explicit usage of quilt, this is a 3.0 (quilt) source.

 -- Mattia Rizzolo <email address hidden>  Sat, 03 Dec 2016 18:41:20 +0100

Upload details

Uploaded by:
Debian Science Team
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
Bionic release universe libs

Downloads

File Size SHA-256 Checksum
ann_1.1.2+doc-6.dsc 2.1 KiB bf3185ac6f33aa6529eec795aeda4b2942c28045559020d4382ae43ac3261a82
ann_1.1.2+doc.orig.tar.gz 677.7 KiB 1a8053e4f1ee284430758a2d864e567d9b4b08c0f6562460c9913497fafc78c1
ann_1.1.2+doc-6.debian.tar.xz 167.8 KiB a6e2f04a3e72011c62fcc4a5071a709920ac4b2317af2bb41e4bf4a0881b34fe

Available diffs

No changes file available.

Binary packages built by this source

ann-tools: No summary available for ann-tools in ubuntu zesty.

No description available for ann-tools in ubuntu zesty.

ann-tools-dbgsym: No summary available for ann-tools-dbgsym in ubuntu artful.

No description available for ann-tools-dbgsym in ubuntu artful.

libann-dev: No summary available for libann-dev in ubuntu zesty.

No description available for libann-dev in ubuntu zesty.

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: No summary available for libann0-dbgsym in ubuntu zesty.

No description available for libann0-dbgsym in ubuntu zesty.