Closed whedon closed 6 years ago
Hello human, I'm @whedon. I'm here to help you with some common editorial tasks. @SylvainCorlay it looks like you're currently assigned as the reviewer for this paper :tada:.
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Hi @SylvainCorlay — ping! Gentle reminder here about the review for JOSS. You can start on it, and report any issues you encounter right here (or post issues on the repo of the submitted software). Cheers!
After the submission, we noted a compatibility bug in the setup.py
that prevents v1.0.0 to be installed with Python2. Could we bump the refereed version to v1.0.1.
I don't see a problem with that, @dseuss—thanks for the update.
After the submission, we noted a compatibility bug in the setup.py that prevents v1.0.0 to be installed with Python2. Could we bump the refereed version to v1.0.1.
Same here.
Same here.
Does that mean 1.0.1 doesn't work for you either?
Does that mean 1.0.1 doesn't work for you either?
Absolutely! Pardon my brevity.
Note: I checked the box regarding the matched version. I don't know if it matters that the generated issue specifies 1.0.0
As I am going through the checklist:
- [ ] References: Do all archival references that should have a DOI list one (e.g., papers, datasets, software)?
I found that there is a DOI for the reference Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
- [ ] Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support.
Very minor: on this point, a "contributing" section in the readme could be added (simply linking to the relevant section of the documentation).
- [ ] Automated tests: Are there automated tests or manual steps described so that the function of the software can be verified?
For some reason, I had to install hdf5
to be able to run the tests. The test_requires
specify h5py
, which probably requires some installation of hdf5
. It seems that the test requirements won't use wheels.
@SylvainCorlay Thanks for the feedback.
I found that there is a DOI for the reference Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
Added DOI and updated arXiv references for another paper in a3aaaf5
Very minor: on this point, a "contributing" section in the readme could be added (simply linking to the relevant section of the documentation).
Done.
For some reason, I had to install hdf5 to be able to run the tests. The test_requires specify h5py, which probably requires some installation of hdf5. It seems that the test requirements won't use wheels.
Right, I recalled that we had to manually install test dependencies on travis for that reason. I have added a note to the README as well as to the documentation. (The latter should appear once readthedocs renders the new version)
I could install, run the tests, and the example notebook. The whole process was straightforward. The need for the package is properly justified and prior work appropriately cited. Documentation includes both high-level narrative documentation introducing the package and an API reference generated from the doc strings (although a few items are left as todo).
1) Quick note about the example notebook: I find it extremely useful and detailed. A link to the notebook is provided in the documentation, but the rendered notebook itself could probably be included as-is in the documentation. A good tool to achieve this is to use the nbsphinx sphinx extension.
Quick note: it is a requirement for most linux distributions (e.g. Debian) for the doc package to be self-contained, so using nbsphinx for including the notebook in sphinx would help with that.
Minor suggestion: the notebook could include some visuals from the narrative documentation about the graphical notation, and how it translate with a simple code example, before diving into more advanced examples.
3) About the narrative documentation: the matrix product state representation of a state comes without context. The rest of the paragraph is more self-explanatory but I think that this is domain-specific, and is probably not necessary for introducing MPS and MPO.
@SylvainCorlay : I see that all boxes are checked. Can you confirm that you recommend acceptance now?
Thanks a lot @SylvainCorlay for the helpful comments. We already implemented remark 1 on the master branch in the repo. We will address the other remarks shortly after fixing some slight mistakes in some images.
@labarba I would move the v1.0.1
tag to a different commit in the repo once we incorporate all the fixes. Since all the fixes are in the documentation, this does not affect the version on PyPi. Would that be okay with you?
@SylvainCorlay : I see that all boxes are checked. Can you confirm that you recommend acceptance now?
Yes, this is excellent. I recommend the paper for acceptance. I will also definitely watch this repository, and future development!
Yay! @dseuss —We'll now need you to deposit the final release on an archival host like figshare or Zenodo, and report here the DOI. Then @arfon will press the buttons to publish!
I have uploaded the final version v1.0.2 with the DOI 10.5281/zenodo.1115574. We have updated the refereed version according to the suggestions of the referee:
requirements.txt
We also migrated all the figures from Inkscape to LaTeX/TikZ and fixed some notation errors.
@whedon set 10.5281/zenodo.1115574 as archive
OK. 10.5281/zenodo.1115574 is the archive.
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
https://github.com/openjournals/joss-papers/blob/joss.00465/joss.00465/10.21105.joss.00465.pdf
@arfon On to you to push the accept button!
Could we wait for another hour? I just noticed that the bibliography in the PDF is everything but consistent. I'll try to fix this now.
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
https://github.com/openjournals/joss-papers/blob/joss.00465/joss.00465/10.21105.joss.00465.pdf
OK, now I am happy with it as well. Just cleaned up the names in the references, removed unnecessary fields from the bib file, and fixed citations of the Oseledets paper, which gave ??? in the old version.
Thanks a lot to @labarba and @SylvainCorlay
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
https://github.com/openjournals/joss-papers/blob/joss.00465/joss.00465/10.21105.joss.00465.pdf
@whedon generate pdf
Attempting PDF compilation. Reticulating splines etc...
https://github.com/openjournals/joss-papers/blob/joss.00465/joss.00465/10.21105.joss.00465.pdf
I slightly adapted the spelling of one of the references. I'm looking forward to the paper being published. Thanks everyone!
@SylvainCorlay - many thanks for your review here and to @labarba for editing this submission ✨
@dseuss - your submission is now accepted into JOSS and your DOI is https://doi.org/10.21105/joss.00465 ⚡️ 🚀 💥
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Submitting author: @dseuss (Daniel Suess) Repository: https://github.com/dseuss/mpnum Version: v1.0.0 Editor: @labarba Reviewer: @SylvainCorlay Archive: 10.5281/zenodo.1115574
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