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[PRE REVIEW]: MicroFloatingPoints.jl: providing very small IEEE 754-compliant floating-point types #7030
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Five most similar historical JOSS papers: SyntheticEddyMethod.jl: A Julia package for the creation of inlet flow conditions for LES GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields TaylorSeries.jl: Taylor expansions in one and several variables in Julia Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy MLJ: A Julia package for composable machine learning |
👋 @goualard-f - Thanks for your submission. While we get started, you could work on the missing DOI that editorialbot suggests, which appears to me to be correct. Please feel free to make changes to your .bib file, then use the command Additionally, I see a bunch of extra {}s in your bib file which are preserving cases, but these should be determined by the paper generator, not fixed (unless needed, such as for proper names). Can you remove the extra {}s? |
Also, the image/badge at the end of your readme related to code coverage doesn't seem to be working |
Finally, please suggest 4 or 5 potential reviewers. You can search the list of people that have already agreed to review and may be suitable for this submission, or suggest people outside the JOSS reviewer database. If you know their GItHub usernames, then please mention them here in this thread (without tagging them with an @). |
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Five most similar historical JOSS papers: SyntheticEddyMethod.jl: A Julia package for the creation of inlet flow conditions for LES GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields TaylorSeries.jl: Taylor expansions in one and several variables in Julia OpenGeoSysUncertaintyQuantification.jl: a Julia library implementing an uncertainty quantification toolbox for OpenGeoSys MLJ: A Julia package for composable machine learning |
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👋 @dannys4 & @matbesancon - would one or both of you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
👋 @sandreza - would you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
Hi @danielskatz, I can review this paper |
although one thing to note: I'm not a numerical analysis person so I won't be able to judge the package or contribution in that regard |
I can also volunteer as well |
@matbesancon & @dannys4 - thanks for agreeing to review this. I'll add you both now, and also see if I can find one other person given @matbesancon's comment about the NA part. Then we'll start the review, hopefully quite soon |
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👋 @mkitti - would you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
@goualard-f - you might want to add a reference to Julia somewhere in the paper
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@danielskatz I would be interested in reviewing. I see there are already two reviewers here. As a third reviewer is there a particular gap that needs to be covered. |
@mkitti - I was looking for a third reviewer because of the comment from @matbesancon
and you were suggested to me as having a good background in Julia and in CS in general |
I will review, focusing on numerical analysis then. Thank you for clarifying. |
Thanks very much @mkitti - I'll add you and start the review |
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@mkitti added to the reviewers list! |
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OK, I've started the review over in #7050. |
Submitting author: @goualard-f (Frederic Goualard)
Repository: https://github.com/goualard-f/MicroFloatingPoints.jl.git
Branch with paper.md (empty if default branch): joss2024
Version: v1.5.2
Editor: @danielskatz
Reviewers: @matbesancon, @dannys4, @mkitti
Managing EiC: Daniel S. Katz
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