Changelog for
python-humanfriendly-2.1-5.1.noarch.rpm :
Mon Oct 10 14:00:00 2016 mardnhAATTgmx.de
- Update to version 2.1
* Release 2.1: Support for sanitizing terminal output
* Support for sanitizing terminal output
* Merge #12: Update README.rst for new unit behaviour
* Update README.rst for new unit behaviour
* Release 2.0: Proper support for IEEE 1541 definitions of units? (fixes #4, merges #8 and #9)
* Proper support for IEEE 1541 definitions of units?
* Merge #9: Add note about IEEE 1541 definitions of units
* Merge #8: Allow correct behavior of \'parse_size\' and \'format_size\'
* Stop clearing coverage data on Travis CI :-)
* Release 1.44.9 (fixes #10 and #11)
* Restore Python 2.6 compatibility (#10 and #11)
* Resolve timespan formatting issues (#10 and #11)
* Reproduce timespan formatting issues reported in #10 and #11
* Refactor makefile, switch to py.test, wheel support, etc.
* Release 1.44.8 (fixes #7)
* Don\'t test tags on Travis CI
* Fix issue #7
* Reproduce issue #7 in test suite
* Minor improvements to setup script
* Add note about IEEE 1541 definitions of units
* Added unit tests
* Implemented correct handling of prefixes based on IEEE 1540
- Fix source url
- Minor specfile cleanup
Wed Jun 1 14:00:00 2016 okurzAATTsuse.com
- Update to official release 1.44.7
Minor improvements to usage message reformatting
Remove undocumented .strip() from join_lines()
Why I noticed this: It has the potential to eat significant white
space in usage messages that are marked up in reStructuredText syntax.
Why I decided to change it: The behavior isn\'t documented and on
second thought I wouldn\'t expect a function called join_lines()
to strip any and all leading/trailing white space.
Improve usage message parsing algorithm (also add a proper test)
Refer to test_parse_usage_tricky() for an example of a usage message that
is now parsed correctly but would previously confuse the dumb \"parsing\"
algorithm in parse_usage().
Make usage message parsing a bit more strict
Admittedly this needs a lot more love to make it more robust but
I lack the time to implement this at the moment. Some day soon! :-)
Unbreak conditional importlib dependency
*
* https://travis-ci.org/xolox/python-humanfriendly/builds/110585766
Kind of strange that everything worked fine locally. Then again,
I\'ve never used wheel compatible conditional dependencies before
so of course my first attempt was bound to fail in same way :-s.
Make conditional importlib dependency compatible with wheels
*
While running tox tests of another project of mine that uses the
humanfriendly package I noticed a traceback when importing the
humanfriendly package (because importlib was missing). After some
digging I found that tox uses pip to install packages and pip converts
source distributions to wheel distributions before/during installation,
thereby dropping the conditional importlib dependency.
Fix non-fatal log format error in prompt_for_choice()
Add humanfriendly.sphinx module
Mon Jan 25 13:00:00 2016 okurzAATTsuse.de
- initial package