JuliaPy / JuliaPy/PythonCall.jl
On PythonCall load, UndefRefError: access to undefined reference
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Description
**Affects:** PythonCall
**Describe the bug**
https://github.com/JuliaIO/PyTensorStore.jl/actions/runs/24747323082/job/72507767012?pr=3
```
ERROR: LoadError: InitError: UndefRefError: access to undefined reference
Stacktrace:
[1] _pyjl_new(t::Ptr{PythonCall.C.PyObject}, ::Ptr{PythonCall.C.PyObject}, ::Ptr{PythonCall.C.PyObject})
@ PythonCall.JlWrap.Cjl ~/.julia/packages/PythonCall/83z4q/src/JlWrap/C.jl:24
[2] PyObject_CallObject
@ ~/.julia/packages/PythonCall/83z4q/src/C/pointers.jl:300 [inlined]
[3] PyJuliaValue_New
@ ~/.julia/packages/PythonCall/83z4q/src/JlWrap/C.jl:392 [inlined]
[4] macro expansion
@ ~/.julia/packages/PythonCall/83z4q/src/Core/Py.jl:118 [inlined]
[5] pyjl(t::PythonCall.Py, v::Module)
@ PythonCall.JlWrap ~/.julia/packages/PythonCall/83z4q/src/JlWrap/base.jl:7
[6] pyjl
@ ~/.julia/packages/PythonCall/83z4q/src/JlWrap/any.jl:400 [inlined]
[7] Py
@ ~/.julia/packages/PythonCall/83z4q/src/JlWrap/base.jl:141 [inlined]
[8] macro expansion
@ ~/.julia/packages/PythonCall/83z4q/src/Core/Py.jl:117 [inlined]
[9] pysetattr
@ ~/.julia/packages/PythonCall/83z4q/src/Core/builtins.jl:78 [inlined]
[10] setproperty!(x::PythonCall.Py, k::Symbol, v::Module)
@ PythonCall.Core ~/.julia/packages/PythonCall/83z4q/src/Core/Py.jl:281
[11] __init__()
@ PythonCall.JlWrap ~/.julia/packages/PythonCall/83z4q/src/JlWrap/JlWrap.jl:70
[12] run_module_init(mod::Module, i::Int64)
@ Base ./loading.jl:1445
[13] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
@ Base ./loading.jl:1433
[14] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any}; register::Bool)
@ Base ./loading.jl:1321
[15] _include_from_serialized
@ ./loading.jl:1276 [inlined]
[16] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})
@ Base ./loading.jl:2117
[17] _require_search_from_serialized
@ ./loading.jl:2011 [inlined]
[18] __require_prelocked(pkg::Base.PkgId, env::String)
@ Base ./loading.jl:2629
[19] _require_prelocked(uuidkey::Base.PkgId, env::String)
@ Base ./loading.jl:2495
[20] macro expansion
@ ./loading.jl:2423 [inlined]
[21] macro expansion
@ ./lock.jl:376 [inlined]
[22] __require(into::Module, mod::Symbol)
@ Base ./loading.jl:2388
[23] require(into::Module, mod::Symbol)
@ Base ./loading.jl:2364
[24] top-level scope
@ ~/work/PyTensorStore.jl/PyTensorStore.jl/src/PyTensorStore.jl:3
[25] include(mod::Module, _path::String)
@ Base ./Base.jl:306
[26] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
@ Base ./loading.jl:3028
[27] top-level scope
@ stdin:5
[28] eval(m::Module, e::Any)
@ Core ./boot.jl:489
[29] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
@ Base ./loading.jl:2874
[30] include_string
@ ./loading.jl:2884 [inlined]
[31] exec_options(opts::Base.JLOptions)
@ Base ./client.jl:315
[32] _start()
@ Base ./client.jl:550
during initialization of module JlWrap
in expression starting at /home/runner/work/PyTensorStore.jl/PyTensorStore.jl/src/PyTensorStore.jl:1
```
**Your system**
Please provide detailed information about your system:
Ubuntu Linux (Github Linux runner)
Julia 1.12.6
Python 3.14.4
PythonCall v0.9.31
**Additional context**
Add any other context about the problem here.
Guide de contribution
Aucun guide de contribution indexé pour ce dépôt
Piste de recherche
Start by rerunning the linked GitHub Actions job on Ubuntu with Julia 1.12.6, Python 3.14.4, and PythonCall v0.9.31. Read PyTensorStore.jl/src/PyTensorStore.jl alongside the stack-trace locations in PythonCall's JlWrap/C.jl, C/pointers.jl, and JlWrap/JlWrap.jl. Done means the package loads without the reported UndefRefError in that environment.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- julia, python
- Domaine
- backend
- Type d'issue
- Bug
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- Calme
- Clarté
- Plutôt claire
- Accessibilité débutants
- 45/100