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mirror of https://github.com/ilri/csv-metadata-quality.git synced 2024-12-22 20:22:18 +01:00
Commit Graph

21 Commits

Author SHA1 Message Date
202bda862a
Bump version to 0.4.5
All checks were successful
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2021-03-04 21:38:10 +02:00
7479310ac0
setup.py: Bump version to 0.4.4
I missed to increase this when I actually released version 0.4.4 so
I will do it in a separate commit now before I bump the version to
0.4.5.
2021-03-04 21:35:08 +02:00
cbf94490f2
Version 0.4.3 2021-01-26 15:22:40 +02:00
f3d0d5ef07
setup.py: Remove Python 3.6
I actually removed Python 3.6 support a few weeks ago after updating
to Pandas 1.2.0, but forgot to update this.
2021-01-26 15:22:08 +02:00
72ca9d99bf
setup.py: Add Python 3.9
[SKIP CI]
2020-12-14 23:44:35 +02:00
cb07d357d4
Version 0.4.2 2020-07-06 14:04:34 +03:00
0b2d211455
Version 0.4.1 2020-01-15 12:19:42 +02:00
7f1df0b47c
Support Python 3.6 and 3.7 again 2020-01-15 12:19:17 +02:00
705127fd28
Version 0.4.0 2020-01-15 11:44:56 +02:00
894e0a196d
setup.py: Change Python requirements
The `unicodedata.is_normalized()` function requires Python 3.8.

See: https://docs.python.org/3/library/unicodedata.html
2020-01-15 11:43:25 +02:00
87181bc7b8
Run black, isort, and flake8. 2020-01-15 11:41:31 +02:00
4b9d1e060f
setup.py: Add Python 3.8 classifier 2019-12-14 12:56:11 +02:00
efdc3a841a
Version 0.3.1 2019-10-01 17:11:13 +03:00
e15c98cccb
Move unreleased changes to v0.3.0 2019-09-26 14:06:31 +03:00
d7b5e378bc
setup.py: Add langid 2019-09-26 13:49:32 +03:00
c354a3687c
Release version 0.2.2 2019-08-28 00:10:17 +03:00
7255bf4707
Version 0.2.1 2019-08-11 10:39:39 +03:00
5ff584a8d7
Version 0.2.0 2019-08-09 01:39:51 +03:00
85ae7bdc5a
Increment version to 0.1.0 2019-08-02 00:12:47 +03:00
734ae7f011
setup.py: Add "DSpace" to description
I suppose someone searching PyPi (eventually) would be happy to see
that this was written specifically with DSpace in mind.
2019-07-31 17:42:27 +03:00
9100efdf50
Re-work as a proper standalone Python package
Add a setup.py so that installation is easier and a standalone CLI
script called csv-metadata-quality is provided. Now the user only
needs to run this from a virtual environment inside the project
directory:

    $ pip install .

Eventually I could publish this on PyPi when I settle on a more
appropriate package name.

See: https://packaging.python.org/tutorials/packaging-projects/
See: https://chriswarrick.com/blog/2014/09/15/python-apps-the-right-way-entry_points-and-scripts/
2019-07-31 17:34:36 +03:00