Hacktoberfest 2026:維護者為十月標記出來的 issue,仍然開放、適合新手。 瀏覽 Hacktoberfest issue

v6.3.0 introduced pkg_resources side effects

未關閉
#824 1 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視

還沒有人認領這個 Issue。

評估

難度
4/5
預估耗時
3-5 天
新手友好度
35/100
Issue 類型
缺陷
描述清晰度
基本清楚
活躍度
停滯
技術堆疊
jupyter-notebook, python
領域
backend

研究方向

從 commit 470145ca7d103bdf6081bcfde09933ab81a56a5b 開始,追蹤經過 debugpy.server.api 的匯入,直到 debugpy/_vendored/pydevd/pydevd_plugins/init.py。使用 ipykernel<6.3.0、ipykernel==6.3.0 以及目前的 head 執行連結的重現 notebook,同時觀察 sys.path 和 pkg_resources。當重現程式不需要 notebook 專用的 workaround 即不再失敗,且已了解其對 pydevd 偵錯的任何影響時,即表示完成。

由索引模型根據 Issue 內容生成。

描述

bug

ipykernel v6.3.0, I believe 470145ca7d103bdf6081bcfde09933ab81a56a5b specifically, introduced an indirect import on the pkg_resources module, via debugpy.server.api.

During this import, debugpy imports pkg_resources (here).

The pkg_resources module has some import-time side-effects that cause problems in complex notebooks:

It’s important to note that the global working_set object is initialized from sys.path when pkg_resources is first imported, but is only updated if you do all future sys.path manipulation via pkg_resources APIs.

I am filing this with ipykernel because I believe it's the place we start caring about the sys.path manipulations - it is somewhat common for notebooks to include !pip install foo steps, which impacts sys.path without using the pkg_resources APIs. However, I'd like to discuss where a fix should live.

I'm part of the TensorFlow docs team, and we have an increasing number of notebooks that have a "restart runtime" requirement (e.g.). I don't think fixing every notebook is the right solution, and we could apply a fix in our own infrastructure, but I would favour a fix at the root, if possible.

When we fix it in the notebook, we reload the module (e.g.), however we should unload the module completely if we fix this before any notebook code, in case the notebook uses pkg_resources. If we were to do this, say, in ipykernel, would it impact the notebook kernel or other environment factors? e.g. in the use of pydevd or debugging?

In case it helps, this notebook can be used to reproduce the failure. ipykernel<6.3.0 works, but ipykernel==6.3.0 (and at head) fail.

主要語言
Python
星號
734
分支
411
平均合併
1 天 2 小時
30 天內合併 PR
9

貢獻指南

開啟貢獻指南

從這裡開始

  1. 先讀完整個 Issue,再讀專案的貢獻指南。
  2. 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

ipython/ipykernel 的其他 Issue

查看 ipython/ipykernel 的全部 Issue

相似的 Issue

更多 Python Issue

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。