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[REVIEW]: PyRASA - Spectral parameterization in python based on IRASA #7852

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editorialbot opened this issue Feb 25, 2025 · 12 comments
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Python review TeX Track: 2 (BCM) Biomedical Engineering, Biosciences, Chemistry, and Materials

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editorialbot commented Feb 25, 2025

Submitting author: @schmidtfa (Fabian Schmidt)
Repository: https://github.com/schmidtfa/pyrasa
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @csoneson
Reviewers: @wmvanvliet, @OleBialas
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/b13e5cbfdf48d797bab112e533ab2274"><img src="https://joss.theoj.org/papers/b13e5cbfdf48d797bab112e533ab2274/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/b13e5cbfdf48d797bab112e533ab2274/status.svg)](https://joss.theoj.org/papers/b13e5cbfdf48d797bab112e533ab2274)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@wmvanvliet & @OleBialas, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @csoneson know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

📝 Checklist for @wmvanvliet

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Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.21105/joss.01272 is OK
- 10.1038/s41593-020-00744-x is OK
- 10.1007/s12021-022-09581-8 is OK
- 10.1016/j.neuroimage.2013.10.027 is OK
- 10.1038/s41586-020-2649-2 is OK
- 10.1155/2011/156869 is OK
- 10.1007/s10548-015-0448-0 is OK
- 10.7554/eLife.70092 is OK

🟡 SKIP DOIs

- None

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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Software report:

github.com/AlDanial/cloc v 1.98  T=0.11 s (960.1 files/s, 284348.5 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          57           1713           1927           5252
SVG                              2              0              0           3832
Jupyter Notebook                14              0          17140           1264
YAML                             6              9              7            200
reStructuredText                21            231            222            198
Markdown                         4             75              0            166
TOML                             1             20              0            125
TeX                              1              7              0             85
CSS                              1              3              4             26
DOS Batch                        1              8              1             26
HTML                             1              2              4             12
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                           110           2072          19312          11195
-------------------------------------------------------------------------------

Commit count by author:

   102	Thomas Hartmann
    76	Fabi
    75	Schmidt Fabian
     8	Fabian Schmidt
     3	dependabot[bot]
     2	b1059770
     2	schmidtfa

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Paper file info:

📄 Wordcount for paper.md is 660

✅ The paper includes a Statement of need section

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License info:

✅ License found: BSD 2-Clause "Simplified" License (Valid open source OSI approved license)

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👋🏼 @schmidtfa, @wmvanvliet, @OleBialas - this is the review thread for the submission. All of our communications will happen here from now on.

As a reviewer, the first step is to create a checklist for your review by entering

@editorialbot generate my checklist

as the top of a new comment in this thread. These checklists contain the JOSS requirements. As you go over the submission, please check any items that you feel have been satisfied. The first comment in this thread also contains links to the JOSS reviewer guidelines.

The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues directly in the software repository. If you do so, please mention this thread so that a link is created (and I can keep an eye on what is happening). Please also feel free to comment and ask questions in this thread. It is often easier to post comments/questions/suggestions as you come across them instead of waiting until you've reviewed the entire package.

We aim for reviews to be completed within about 2-4 weeks. Please let me know if any of you require some more time. We can also use EditorialBot (our bot) to set automatic reminders if you know you'll be away for a known period of time.

Please feel free to ping me (@csoneson) if you have any questions or concerns. Thanks!

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@wmvanvliet
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wmvanvliet commented Feb 26, 2025

Review checklist for @wmvanvliet

Conflict of interest

  • I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

General checks

  • Repository: Is the source code for this software available at the https://github.com/schmidtfa/pyrasa?
  • License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
  • Contribution and authorship: Has the submitting author (@schmidtfa) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
  • Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
  • Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
  • Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
  • Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

Documentation

  • A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
  • Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
  • Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
  • Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
  • Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
  • 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

Software paper

  • Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
  • A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
  • State of the field: Do the authors describe how this software compares to other commonly-used packages?
  • Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
  • References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

@wmvanvliet
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@schmidtfa could you clarify the authorship list for us? You and @thht are all over the commit log and git blame, but what was the role of Nathan Weisz in this project?

@schmidtfa
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Hi @wmvanvliet , thanks for taking this on as a reviewer! So Nathans role was mainly conceptual. He was involved in a lot of the discussions that ended up shaping the design and functionality of pyrasa :)

@wmvanvliet
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Ok, so my first experiences with this package have been very positive. Especially the documentation stands out. I love that the tutorials demonstrate not only how to perform the base case of applying IRANA to a PSD, but also in detail how the algorithm works and common pitfalls. This made it very easy to get started, and I had an easy time comparing pyrana to neurodsp even though I had never used either package before. During this, some documentation issues, questions and ideas for features came up which I've annotated in the checklist above.

@schmidtfa
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Thanks a lot for having a look at the package and for all the input! This is my first time working on a software package and its great to hear that your overall experience was positive! I will do my best to get to your review requests in the next couple days/weeks :)

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