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Register v1.0 #46
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I will do a release by evening EST unless someone raises any concerns |
@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/105267 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version. This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:
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Awesome, thanks! A SciMLBase release with the new ADTypes compat bound (already on master) seems to be the last missing piece on my end! |
@JuliaRegistrator register |
Registration pull request created: JuliaRegistries/General/108454 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version. This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:
|
I have just finished implementing a barebones version of SparseDiffTools in DifferentiationInterface:
I can confirm that it works locally, and that the current design of ADTypes v1.0 is all we need for that. Therefore, I would like to suggest registration of ADTypes v1.0 (and SciMLBase v2.34 following SciML/SciMLBase.jl#674), to make testing possible with CI. For some reason, installation fails on the DifferentiationInterface PR gdalle/DifferentiationInterface.jl#194 despite me committing the manifests.
I have asked for feedback on Slack and Zulip and got no negative response, except for a small remark about the package name (which isn't gonna change).
What do you think?
Keep in mind that the most breaking change is probably the Julia v1.10 compat lower bound, which we decided to put in place because 1.10 will be the new LTS.
cc @ChrisRackauckas @Vaibhavdixit02 @avik-pal @adrhill
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