SciML / SciML/RuntimeGeneratedFunctions.jl
Segfault when RGF is called with wrong number of arguments
Open
Nobody has claimed this yet.
bug
- Dominant language
- Julia
- Stars
- 112
- Forks
- 19
- Avg merge
- 6h 11m
- Merged PRs (30d)
- 9
Description
Describe the bug 🐞
A RGF segfaults if called with the wrong number of arguments:
Expected behavior
Ideally a normal runtime exception.
Minimal Reproducible Example 👇
using Pkg
pkg"activate --temp"
pkg"add RuntimeGeneratedFunctions"
using RuntimeGeneratedFunctions
RuntimeGeneratedFunctions.init(@__MODULE__)
ex = :(function f(x, t)
x[1]
end)
f = @RuntimeGeneratedFunction(ex)
f([1.0]) # segfault💣
julia> versioninfo()
Julia Version 1.11.5
Commit 760b2e5b739 (2025-04-14 06:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 16 × AMD Ryzen 9 8945HS w/ Radeon 780M Graphics
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, znver3)
Threads: 16 default, 0 interactive, 8 GC (on 16 virtual cores)
Environment:
JULIA_NUM_THREADS = auto
JULIA_PKG_PRESERVE_TIERED_INSTALLED = true
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 by running the provided RuntimeGeneratedFunctions reproducer with Julia 1.11.5, focusing on initialization through RuntimeGeneratedFunctions.init and the @RuntimeGeneratedFunction call. The work is done when calling the generated function with the wrong number of arguments raises a normal runtime exception instead of segfaulting.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- compilers
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100