spectral-cube 0.3.1-4~16.04 source package in Ubuntu

Changelog

spectral-cube (0.3.1-4~16.04) xenial-proposed; urgency=medium

  * SRU: LP: #1598145. Fix build failure.

spectral-cube (0.3.1-4) unstable; urgency=medium

  * Use LooseVersion instead of StrictVersion. Closes: #825900

spectral-cube (0.3.1-3) unstable; urgency=medium

  * Add d/upstream/metadata
  * Correct Vcs-Git URL
  * Use ConfigParser module instead of the one embedded in
    distutils.config. Closes: 825817
  * Update Standards-Version to 3.9.8. No changes needed

 -- Matthias Klose <email address hidden>  Fri, 01 Jul 2016 14:44:08 +0200

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
Debian Astronomy Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial updates universe misc

Builds

Xenial: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
spectral-cube_0.3.1.orig.tar.gz 257.3 KiB 8266093b60ede19dfb7a193c253565c5643e677a37daf25eb8f379b4076509b3
spectral-cube_0.3.1-4~16.04.debian.tar.xz 7.3 KiB 34a80c856b785b6a7fdbd3c7406b8b93c342386f1d1071ee2b644b1b9881a493
spectral-cube_0.3.1-4~16.04.dsc 2.3 KiB 0ac1316c4092babdae1c29550609b041275bd418d6b638515b78c7da03c03c16

View changes file

Binary packages built by this source

python-spectral-cube: Manipulate astronomical data cubes with Python 2

 The spectral-cube package provides an easy way to read, manipulate,
 analyze, and write data cubes with two positional dimensions and one
 spectral dimension, optionally with Stokes parameters. It aims to be a
 versatile data container for building custom analysis routines.
 .
 This package contains the Python 2 version of the package.

python3-spectral-cube: Manipulate astronomical data cubes with Python 3

 The spectral-cube package provides an easy way to read, manipulate,
 analyze, and write data cubes with two positional dimensions and one
 spectral dimension, optionally with Stokes parameters. It aims to be a
 versatile data container for building custom analysis routines.
 .
 This package contains the Python 3 version of the package.