JuliaPy / JuliaPy/PythonCall.jl
No way to install Julia signal handler when other dependency uses juliacall
- 主要言語
- Julia
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- マージ済み PR(30日)
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説明
**Affects:** JuliaCall
**Describe the bug**
Related to https://github.com/JuliaPy/PythonCall.jl/issues/219. There's currently a scenario with no possible workaround other than forcing a downstream user to set up environment variables to avoid a segfault.
Say that I import a package which uses serial Julia code. That package runs
```python
from juliacall import Main as jl
```
to start Julia.
Then, I import a different package. That package calls multithreaded Julia code, and thus to avoid a segfault (https://juliapy.github.io/PythonCall.jl/stable/faq/#Is-PythonCall/JuliaCall-thread-safe?) instead performs the import instead as:
```python
import os
os.environ["PYTHON_JULIACALL_HANDLE_SIGNALS"] = "yes"
from juliacall import Main as jl
```
However, at this point, the Julia runtime has already started. So now when I run a multithreaded portion of code, I will get a segfault, even though I implemented special workarounds in the multithreaded package.
How could I avoid this scenario? Indeed the user could always set up the environment variables themselves. But managing to figure this out from a random `bus error` will only be ~5% of users.
コントリビューションガイド
このリポジトリのコントリビューションガイドは索引されていません
調査の方向性
Start by reading JuliaCall's initialization path around `from juliacall import Main as jl` and the `PYTHON_JULIACALL_HANDLE_SIGNALS` environment variable, then review the linked PythonCall.jl issue and thread-safety FAQ. Done means a package can safely arrange signal handling when another dependency has already started the Julia runtime, without requiring downstream users to discover environment-variable workarounds.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- backend
- issue の種類
- バグ
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 38/100