Ubuntu
python-asdf package

python-asdf 2.3.3-1ubuntu1 source package in Ubuntu

Changelog

python-asdf (2.3.3-1ubuntu1) eoan; urgency=medium

  * debian/patches/fix_pyyaml_default_flow_style.patch: Make sure all calls
    to yaml.dump() include default_flow_style=None, to retain previous behavior
    that is checked for in tests, unless it's already otherwise specified.

 -- Mathieu Trudel-Lapierre <email address hidden>  Thu, 08 Aug 2019 17:58:39 -0400

Upload details

Uploaded by:
Mathieu Trudel-Lapierre
Uploaded to:
Eoan
Original maintainer:
Ubuntu Developers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Eoan: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-asdf_2.3.3.orig.tar.gz 565.2 KiB d02e936a83abd206e7bc65050d94e8848da648344dbec9e49dddc2bdc3bd6870
python-asdf_2.3.3.orig.tar.gz.asc 488 bytes ba01cb531273e6067ddd017a44f35d23b39389c36cbcd7973ea85c8467074c45
python-asdf_2.3.3-1ubuntu1.debian.tar.xz 8.6 KiB df403baada510ce030186f454ed4d2a19bb140e74dd1c95a993a498179cce140
python-asdf_2.3.3-1ubuntu1.dsc 2.8 KiB ca36eae9bb9e6732fd2cd9a220166969f44233f1c2a1ec486c73b1f63792625d

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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 eoan.

No description available for python-asdf-doc in ubuntu eoan.

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.