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PyPartMC #179
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Hey @slayoo, I'm Alex, currently serving as the Editor-in-Chief. I'm sorry it took me so long to get back to you.
Please find below the preliminary checks. Editor-in-Chief checksThank you for submitting your package for pyOpenSci review. Below are the basic checks that your package needs to pass to begin our review. If some of these are missing, we will ask you to work on them before the review process begins. Please check our Python packaging guide for more information on the elements below.
Editor commentsI have a few suggestions regarding the documentation:
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@Batalex, thanks for the feedback! |
@Batalex, with the following PRs just merged:
the repo and docs are improved following your suggestions: |
Thank you, @slayoo, the docs look great! |
thank you! |
Sorry, I forgot to add something important to my previous message. Since our field of expertise is Python, the significant portion of C++ code in |
Hello @slayoo, thank you for patience! I'm Chiara, I am following up as Editor in chief. |
Thank you, @russbiggs and @cmarmo! |
@slayoo Sorry for the slow start on my part as editor, I am currently seeking reviewers and will update as that progresses. |
Hello @slayoo , unfortunately Russ couldn't move forward with this submission. We are working to find a new editor for you. |
thank you, @cmarmo |
hey team - i'm checking in on this review. I think we need an editor for it. Is that correct? If so i can put this one on my radar to find someone to edit. |
thank you @lwasser |
Hello @slayoo, I'm going to take care of PyPartMC as editor. |
thank you @cmarmo |
Hi @slayoo, I am glad to announce that we have our first reviewer! 🥳 I am actively looking for a second reviewer, but I think Simon can start to review, as this submission already waited a bit. Before beginning your review, please fill out our pre-review survey. This helps us improve all aspects of our review and better understand our community. No personal data will be shared from this survey - it will only be used in an aggregated format by our Executive Director to improve our processes and programs. The following resources will help you complete your review:
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Hello @slayoo, @cmarmo commented on the scientific-python discord, asking for reviewers. I'm happy to review this if no one else becomes available soon. I've done significant work using C++/Fortran + Python. However, I haven't done much with pybind11 or CMake. Happy to put some work in and brush up on those. Before committing, I’ve signed up to a couple of different things that I’ll need to prioritise. It may take me a while (at the latest, over the Christmas break) to get a quality review done. Is all that acceptable for you? Happy to be superseded if someone else becomes available. |
@Kai-Striega thank you so much for offering your help! |
Dear @slayoo. I am struggling with
final lines:
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@simonom, thank you! So far, we have not yet produced binary wheels for Python 3.13, please stay tuned, hope to roll these out in the coming days at least for macOS. Since there are no binary wheels available for your platform/OS setup, pip tries to compile the package from source. The failure in getting it compiled seems to originate from an incompatibility around the Thanks! |
@Kai-Striega, of course, thank you! |
Hi @slayoo, I am glad to announce that we have our second reviewer! 🥳 Before beginning your review, please fill out our pre-review survey. This helps us improve all aspects of our review and better understand our community. No personal data will be shared from this survey - it will only be used in an aggregated format by our Executive Director to improve our processes and programs. The following resources will help you complete your review:
Now that we have the two reviewers assigned I am tentatively setting a deadline for the review of PyPartMC: let's try to give a nice Christmas gift to PyPartMC maintainers and let the review in for December 23th! 🎄 Thank you all for your work and your patience! |
@simonom I took the liberty to highlight the traceback in your previous comment. I see you are using a miniconda installation, in order to move forward with the review, may I suggest to create a conda/mamba environment with a 3.12 python version? Also @dbaston, @simonom , please let me know if the review deadline is realistic. Thank you! 🙏 |
@cmarmo, yes, I will continue with a compatible python version, and yes, deadline can be met! |
As of PyPartMC v1.3.10 (released earlier today), there are binary wheels on PyPI for Python 3.13 on macOS. Supported OS versions are: macosx-13 (universal binary) and macosx-14 (ARM binary). Hope it helps! Feedback welcome. Note that Python 3.13 is not fully supported in auxiliary packages used in PyPartMC example notebooks, notably:
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Submitting Author: Sylwester Arabas (@slayoo)
All current maintainers: (@zdaq12, @jcurtis2, @nriemer, @mwest1066)
Package Name: PyPartMC
One-Line Description of Package: Python interface to PartMC aerosol-dynamics Monte-Carlo simulation package
Repository Link: https://github.com/open-atmos/PyPartMC/
Version submitted: v1.2.0
EIC: @Batalex
Editor: @cmarmo
Reviewer 1: @simonom
Reviewer 2: @dbaston
Archive: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD
Code of Conduct & Commitment to Maintain Package
Description
PyPartMC is a Python interface to PartMC, a particle-resolved Monte-Carlo code for atmospheric aerosol simulation. PyPartMC is implemented mostly in C++ (based on the pybind11 framework) with some C and Fortran boilerplate layers. PyPartMC constitutes an API to the PartMC Fortran internals. Besides empowering Python/Jupyter users, PyPartMC can facilitate using PartMC from other environments - see, e.g., Julia and Matlab examples in the project README.
Scope
Domain Specific
n/a
(atmospheric science)
Community Partnerships
n/a
(we host development as a part of the OpenAtmos initiative: https://github.com/open-atmos)
Target audience and scientific applications
Development of PyPartMC has been intended to remove limitations to the use of Fortran-implemented PartMC software. PyPartMC facilitates the dissemination of computational research results by streamlining independent execution of PartMC simulations, which could prove advantageous during peer review process. Additionally, the ability to easily package examples, simple simulations, and results in a web-based notebook allows PyPartMC to support the efforts of many members of the scientific community, including researchers, instructors, and students, with nominal software and hardware requirements.
Other Python packages with relevant feature scope
Technical checks
For details about the pyOpenSci packaging requirements, see our [packaging guide][PackagingGuide]. Confirm each of the following by checking the box. This package:
Publication Options
(we have recently published a SoftwareX paper on PyPartMC: https://doi.org/10.1016/j.softx.2023.101613)
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