Re: Bug#1026087: ITP: distribution-gpg-keys -- GPG keys by various Linux distributions

2022-12-15 Thread Juri Grabowski
Hello,

On Thu, Dec 15, 2022 at 08:15:37AM +0100, Adam Borowski wrote:
> These are all RPM distributions, which is definitely not what one would
> expect in our context.  At the very least the short desc would need to
> mention that, and I'd recommend having that in the name as well.
Thank you for your reply!
Mainly I agree with you.
Quebes is not really RPM distribution as long I know.
There is some keys for zoom, skype and others which are more self-contained.
Your suggestion for package descriptions?

Best Regards,
Juri Grabowski



Bug#1026087: ITP: distribution-gpg-keys -- GPG keys by various Linux distributions

2022-12-14 Thread Juri Grabowski
Package: wnpp
Version: 1.79
Severity: wishlist
Owner: Juri Grabowski 
X-Debbugs-Cc: debian-devel@lists.debian.org, deb...@jugra.de

* Package name: distribution-gpg-keys
  Version : 1.7.9
  Upstream Author : Miroslav Suchý 
* URL : https://github.com/xsuchy/distribution-gpg-keys/
* License : CC0-1.0
  Programming Lang: data
  Description : GPG keys by various Linux distributions

used by various Linux distributions to sign packages.

needed by mock/3.5 and I need a sponsor for this package. See current packaging 
in
https://salsa.debian.org/pkg-rpm-team/distribution-gpg-keys
After I know ITP bug number I upload this source package to
https://mentors.debian.net/package/distribution-gpg-keys/

Best Regards,
Juri Grabowski



Bug#1025862: ITP: templated-dictionary -- Dictionary with Jinja2 expansion

2022-12-10 Thread Juri Grabowski
Package: wnpp
Severity: wishlist
Owner: Juri Grabowski 
X-Debbugs-Cc: debian-devel@lists.debian.org, deb...@jugra.de

* Package name: templated-dictionary
  Version : 1.1
  Upstream Author : Miroslav Suchý 
* URL : https://pypi.org/project/templated-dictionary/
* License : GPLv2+
  Programming Lang: Python
  Description : Dictionary with Jinja2 expansion

  This module provides dictionary where every item is evaluated as a
  Jinja2 expression.

  needed by mock/3.5 and I need a sponsor for this package. See current
  packaging in
  https://salsa.debian.org/python-team/packages/templated-dictionary



Bug#1023636: ITP: ruby-blurhash -- Encode an image as a small string that can saved in the database

2022-11-07 Thread Juri Grabowski
Package: wnpp
Severity: wishlist
Owner: deb...@jugra.de
X-Debbugs-Cc: debian-devel@lists.debian.org

* Package name: ruby-blurhash
  Version : 0.1.6
  Upstream Author : Eugen Rochko 
* URL : https://github.com/Gargron/blurhash
* License : Expat
  Programming Lang: Ruby
  Description : Encode an image as a small string that can saved in the 
database
  and used to show a blurred preview before the real image loads

I am packaging blurhash as it is a dependency of mastodon. (#859741)



Re: Help needed for watch file after bitbucket changed download page

2022-09-29 Thread Juri Grabowski

Hello Andreas,

On 2022-09-29 14:54 4, Andreas Tille wrote:

I confirm this works.  However, uscan does not do the usual link to
orig.tar.gz.  Any idea why this is the case?

I have found this bug:
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=896705

But did you have signing key from Rob Egan , because I
didn't found it on keyserver or in debian/upstream/signing-key.asc

Best Regards,
Juri Grabowski



Bug#963076: ITP: lightgbm -- It is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient

2020-06-18 Thread Juri Grabowski
Package: wnpp
Severity: wishlist
Owner: Juri Grabowski 

* Package name: lightgbm
  Version : 2.3.1
  Upstream Author : Guolin Ke 
Guolin Ke 
* URL : https://www.microsoft.com/en-us/research/project/lightgbm/
* License : MIT
  Programming Lang: C++, python
  Description : It is a gradient boosting framework that uses tree based 
learning algorithms. It is designed to be distributed and efficient

Description: It is a gradient boosting framework that uses tree based learning 
algorithms. It is designed to be distributed and efficient
 with the following advantages
 - Faster training speed and higher efficiency.
 - Lower memory usage.
 - Better accuracy.
 - Support of parallel and GPU learning.
 - Capable of handling large-scale data.

Plan is to maintain it in debian-science-team
Here is Licence:
https://github.com/microsoft/LightGBM/blob/master/LICENSE