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 | Published | Component | Section | |
---|---|---|---|---|
Xenial | updates | universe | misc |
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 |
Available diffs
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.