Segfault launching ipykernel on Python 3.12.3 in VS Code Jupyter (works on Python 3.11)

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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
冷清
技術堆疊
jupyter, jupyter-notebook, python
領域
backend, devtools

研究方向

使用 python3 -X faulthandler -m ipykernel_launcher -f /tmp/test_kernel.json 重現故障,然後將其與正常運作的 Python 3.11 命令進行比較。從 ipykernel_launcher.pyipykernel/kernelapp.py 和列出的原生擴充功能開始;完成的標準是 Python 3.12 啟動核心並建立其連線檔案,且不發生 segmentation fault。

由索引模型根據 Issue 內容生成。

描述

Summary

Summary

A Jupyter kernel startup failure occurs when launching ipykernel under Python 3.12.3 inside the project virtual environment. The process crashes with Segmentation fault during IPKernelApp initialization. The same kernel startup works correctly on Python 3.11.15.

This appears to be a bug in the ipykernel / IPython startup path for Python 3.12 rather than a notebook-specific issue.


Reproduction Steps

  1. Open the project directory:

    cd /home/alvaritogsg/personalProjects/nuclioShool/nuclio_charlas
    
  2. Activate the virtual environment:

    . .venv/bin/activate
    
  3. Run the kernel launcher directly with faulthandler:

    python3 -X faulthandler -m ipykernel_launcher -f /tmp/test_kernel.json
    
  4. Observe the crash:

    • Segmentation fault (core dumped)
    • No /tmp/test_kernel.json file is created.
  5. Compare with Python 3.11:

    python3.11 -X faulthandler -m ipykernel_launcher -f /tmp/test_kernel_py311.json
    
  6. The Python 3.11 kernel starts successfully and remains alive.


Actual Behavior

The kernel process crashes immediately with a segmentation fault while initializing the IPython kernel application.

The stack trace includes:

  • logging/__init__.py
  • IPython/core/application.py
  • ipykernel/kernelapp.py
  • traitlets/config/application.py
  • ipykernel_launcher.py

Loaded native extension modules at the time of the crash:

  • zmq.backend.cython._zmq
  • tornado.speedups
  • psutil._psutil_linux

VS Code reports:

The error displaed by VS Code was:

Error: El kernel ha muerto. Error: ... Vea Jupyter [log](command:jupyter.viewOutput) para obtener más detalles.

  • The execution that is falling is: ~python -m ipykernel_launcher
  • The check command python -c "import ipykernel; print(...)" works correctly.

Expected Behavior

The kernel should start normally and create a connection file such as /tmp/test_kernel.json. Jupyter frontends should be able to connect to the kernel without the process dying.


Environment

  • OS: Linux (WSL/Remote VS Code)
  • VS Code Jupyter extension: 2025.9.1
  • Python 3.12.3 virtualenv: /home/alvaritogsg/personalProjects/nuclioShool/nuclio_charlas/.venv
Package Versions in .venv
  • ipython 9.12.0
  • ipykernel 7.2.0
  • jupyter-client 8.8.0
  • jupyter-core 5.9.1
  • traitlets 5.14.3
  • tornado 6.5.5
  • pyzmq 27.1.0
  • psutil 7.2.2
Python Version Comparison
  • Python 3.12.3: fails
  • Python 3.11.15: works

The working Python 3.11 environment was tested using a temporary venv and a similar ipykernel_launcher command.


Additional Notes

  • python3 -m IPython --help works and even python3 -m ipykernel_launcher --help succeeds, but actual kernel startup still crashes.
  • The crash appears to happen before any frontend-level Jupyter communication begins, so this is likely not a VS Code issue.
  • The failing path is likely in the ipykernel / IPython initialization logic, possibly specific to Python 3.12 in this environment.
主要語言
Python
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分支
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平均合併
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