On 7/21/20 4:39 PM, Anton Gladky wrote:
Hi Qianqian,
some general notes to both packages:
thanks, see my below updates
- Please go through ALL files and put licenses/copyrights into the
d/copyright.
done
- Remove python2-binaries. This python version is not supported any more.
done
- Remove all binaries from the code (ods-files)
forgive me, what are ods-files?
- pysdate - empty clean file is not needed
removed.
- Add DEP-8 autopkgstests
can you point me to an example project how this is done?
I currently have "|Testsuite: autopkgtest-pkg-python|" in control and
"|export PYBUILD_TEST_ARGS=test/|" in rules, the CI pipeline seems to be
ok with autopkgtest for pybj
https://salsa.debian.org/science-team/pybj/-/pipelines/158112
for pyjdata, two tests were failed due to the dependency to
python3-bjdata (which I believe can be fixed once both packages are
uploaded)
https://salsa.debian.org/science-team/pyjdata/-/pipelines/158115
Please pay attention, I did not compile and test your packages. Please
fix all lintian
errors and warnings, if they exist.
most of those should have been fixed, let me know if you see something
that worth fixing.
thanks
Qianqian
Best regards
Anton
Am Fr., 17. Juli 2020 um 17:34 Uhr schrieb Qianqian Fang
<fan...@gmail.com <mailto:fan...@gmail.com>>:
hi Anton
just to let you know that I've fixed the numpy-abi error for pybj
https://salsa.debian.org/science-team/pybj/-/commit/818484c1eb462fa1abd80951132a95dcd048641d
https://mentors.debian.net/package/pybj
I also updated pyjdata dependency list:
https://mentors.debian.net/package/pyjdata
let me know if you have any additional questions regarding these
two packages.
Qianqian
On 7/14/20 6:07 PM, Qianqian Fang wrote:
On 7/14/20 5:11 PM, Anton Gladky wrote:
Hi.
Thanks for your contribution to Debian. I have just some doubts
about
usefulness for Debian and possible popularity of those two projects.
hi Anton
thanks for your comment. happy to explain. Changed message title
from "JSON/..." to "JData/BJData encoders and decoders" to avoid
further confusions.
see my self-introduction in a previous thread
https://lists.debian.org/debian-science/2020/06/msg00006.html
https://bugs.debian.org/cgi-bin/pkgreport.cgi?submitter=fangqq%40gmail.com
I am working on packaging a number research software produced
from my lab and research projects. I have already submitted 5
octave-related projects, mentored by Rafael Laboissière (CCed)
via the Debian Octave Group. I intend to maintain these packages
in the future (already doing so for Fedora).
These two python modules are part of a bigger project that I
initiated last year (http://openjdata.org). They allow python
users to read/write JData-annotated data files produced by my
MATLAB toolbox JSONLab (https://github.com/fangq/jsonlab , about
46000 downloads on Matlab file exchange and ~1000 clones/week on
github). This work is partly funded by my NIH (National Institute
of Health) grants and broader dissemination is part of the
project goals.
Do you know how many people can be interested in these two
libraries?
It looks like at least one of them duplicates the functionality
of the built-in
JSON module. Could you please shortly describe the benefits of both
of them before we start to evaluate it technically?
The *python-bjdata* project was extended from *python-ubjson* -
an existing Debian package. Unfortunately, the UBJSON spec
(http://ubjson.org), despite being broadly used, is no longer
actively maintained. I started a fork earlier this year to
continue the development of this specification, and python-bjdata
is a parser that is compliant to the BJData spec.
The jdata/bjdata framework is not a duplication to JSON -
instead, it defines a systematic way to encode basic data
structures into JSON/UBJSON/BJData serializable forms.
The detailed specifications, examples and rationales can be found at
http://openjdata.org/wiki/
in a way, the jdata module is similar to *json-tricks* but aimed
at a more systematic/standardized way to annotate complex data
(such as graphs, maps, ND arrays ...) for sharing, exchange and
reuse.
https://packages.debian.org/buster/python/python3-json-tricks
the bjdata module is a binary JSON format (similar to UBJSON, and
msgpack) to store binary and strongly typed hierarchical data.
The differences are highlighted in this github tracker
https://github.com/ubjson/universal-binary-json/issues/109
Although these two modules were recently developed, we are
beginning to integrate those in my other tools including
*iso2mesh* <http://iso2mesh.sf.net/>, *jsonlab*
<http://openjdata.org/jsonlab> and *mcx* <http://mcx.space/>
(~10,000 registered users combined). So packaging and maintaining
these tools will greatly facilitate the data exchange among the
user communities.
let me know if I can provide any additional explanations.
thanks
Qianqian
Best regards
Anton
Am Di., 14. Juli 2020 um 06:35 Uhr schrieb Qianqian Fang
<fan...@gmail.com <mailto:fan...@gmail.com>>:
Dear Science team,
I just submitted two python module packages and wonder if
anyone is
willing to take a look and sponsor these packages
The python-jdata and python-bjdata packages aim to enable
sharing python
data with other programming environments (like MATLAB,
C/C++) via
JSON/binary JSON encoded data files (i.e. the JData/Binary
JData
specifications).
The RFS and mentors links can be found in the below two links
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=964993
https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=964994
both packaging files can be found at
https://salsa.debian.org/science-team/pybj
https://salsa.debian.org/science-team/pyjdata
Also need some input on removing the
missing-dependency-on-numpy-abi error.
thanks
Qianqian
