JuliaPy / JuliaPy/PythonCall.jl

JIT Python option and other options to take advantage of

未关闭
#496 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
enhancement
主要语言
Julia
星标
1.1k
派生
86
平均合并
1 天 22 小时
30 天内合并 PR
3

描述

I see you upgraded minimum Python to 3.8, so it got me curious what does it and later versions enable that you could take advantage of:

https://docs.python.org/3.13/whatsnew/3.13.html#experimental-jit-compiler

You download Python automatically, and while the JIT is in the current alpha, it's experimental and not on it seems by default.

I.e. I think it requires a specialized build, and you could support such, optionally. Or by default, at least it will be at some point. Also they are dropping 19 outdated batteries, so it's a smaller download...

In 3.8:
https://docs.python.org/3.8/whatsnew/3.8.html#parallel-filesystem-cache-for-compiled-bytecode-files

https://bugs.python.org/issue33499

Yes, it's an ENV var and your users could just set it, or be ignorant of it. I was thinking should you set it for the users? That might be bad in case the user already set it... Anyway, it could be documented here and/or set for the user, unless you invoke PythonCall in a special way to not disturb it.

I didn't read carefully, but it seems can be much faster (startup) if you opt into it, I can understand if you do not want to change defaults for users, or document to much. Maybe just document 3.13 is preferred, but older down to 3.8 is supported? With some easy way to limit to 3.13 and newer.

贡献指南

这个仓库没有索引到贡献指南

调研方向

Start by reviewing the linked Python 3.13 JIT documentation and the Python 3.8 bytecode-cache documentation, then inspect how PythonCall.jl downloads and invokes Python. Determine whether JIT builds, cache-related environment settings, or version guidance should be supported or documented; done means a decided scope and corresponding user-facing behavior or documentation.

由索引模型根据 Issue 内容生成。

评估

技术栈
julia, python
领域
tooling
Issue 类型
功能
难度
4/5
预计耗时
3-5 天
活跃度
停滞
描述清晰度
需要澄清
新手友好度
25/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。