search

SciML / QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
https://docs.sciml.ai/QuasiMonteCarlo/stable/
MIT License
102 stars 26 forks source link

Tag new release #121

Closed FriesischScott closed 3 hours ago

FriesischScott commented 4 hours ago

It would be great if you could tag a new release to include the randomized Halton sequence introduced in #108.

ChrisRackauckas commented 3 hours ago

@JuliaRegistrator register()

JuliaRegistrator commented 3 hours ago

Registration pull request created: JuliaRegistries/General/118230

Tip: Release Notes

Did you know you can add release notes too? Just add markdown formatted text underneath the comment after the text "Release notes:" and it will be added to the registry PR, and if TagBot is installed it will also be added to the release that TagBot creates. i.e.

@JuliaRegistrator register

Release notes:

## Breaking changes

- blah

To add them here just re-invoke and the PR will be updated.

Tagging

After 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:

git tag -a v0.3.5 -m "<description of version>" 9646ea910e575eaaa2e5ffc117be36c5f602e6a1
git push origin v0.3.5

Also, note the warning: Version 0.3.5 skips over 0.3.4 This can be safely ignored. However, if you want to fix this you can do so. Call register() again after making the fix. This will update the Pull request.