SciML / SciML/JumpProcesses.jl
Ensure non-default rngs are properly seeded with threading and repeated solve calls
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bug
- Dominant language
- Julia
- Stars
- 150
- Forks
- 41
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 28
Description
See the test added in https://github.com/SciML/JumpProcesses.jl/pull/475, which fails for StableRngs for example.
One way this could be handled is to ensure we reseed in
even if there are no discrete callbacks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the test added in SciML/JumpProcesses.jl pull request 475, which currently fails for StableRngs, then inspect src/solve.jl around lines 48-77. Check how seeding behaves with threading and repeated solve calls, including when there are no discrete callbacks. Done means the referenced test passes for non-default RNGs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100