python-asdf 2.12.0-2 source package in Ubuntu
Changelog
python-asdf (2.12.0-2) unstable; urgency=medium * Add version.py to d/clean (Closes: #1015077) * Update jsonschema to 4.x (Closes: #1015012) * Push Standards-Version to 4.6.1. No changes needed -- Ole Streicher <email address hidden> Sun, 17 Jul 2022 11:40:49 +0200
Upload details
- Uploaded by:
- Debian Astronomy Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian Astronomy Maintainers
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-asdf_2.12.0-2.dsc | 2.5 KiB | 6c9ffad3df5c1b4562bc69cde32fd75e6242705d5b999c06682a9c18291e0b70 |
python-asdf_2.12.0.orig.tar.gz | 439.6 KiB | 5914834d077ba3bf68b9aafdc646b9f27ce5e56e1c241167d461dee43b1023e9 |
python-asdf_2.12.0-2.debian.tar.xz | 10.0 KiB | 26804011beb74d234a6f989a28f79e9da16f17836d9641bab6c331acd22f6263 |
Available diffs
- diff from 2.12.0-1 to 2.12.0-2 (3.3 KiB)
No changes file available.
Binary packages built by this source
- asdftool: Command line tool to manipulate ASDF scientific data files
ASDF (Advanced Scientific Data Format) is a proposed
next generation interchange format for scientific data. ASDF aims to
exist in the same middle ground that made FITS so successful, by
being a hybrid text and binary format: containing human editable
metadata for interchange, and raw binary data that is fast to load
and use. Unlike FITS, the metadata is highly structured and is
designed up-front for extensibility.
.
This package contains the asdf command line tool.
- python-asdf-doc: No summary available for python-asdf-doc in ubuntu kinetic.
No description available for python-asdf-doc in ubuntu kinetic.
- python3-asdf: Python 3 library for the Advanced Scientific Data Format
ASDF (Advanced Scientific Data Format) is a proposed
next generation interchange format for scientific data. ASDF aims to
exist in the same middle ground that made FITS so successful, by
being a hybrid text and binary format: containing human editable
metadata for interchange, and raw binary data that is fast to load
and use. Unlike FITS, the metadata is highly structured and is
designed up-front for extensibility.
.
This is the Python 3 package.