Windows11下Jupyter Notebook中Bash内核连接失败求助

在Jupyter Notebook使用Bash内核时，反复出现以下错误：

Connection failed
无法建立与Notebook服务器的连接。Notebook将继续尝试重新连接。请检查您的网络连接或Notebook服务器配置。

已执行的安装与排查步骤 #

我在Windows 11系统下，按以下流程安装Bash内核：

conda create --name bash_env --clone arcgispro-py3
conda install -c conda-forge bash_kernel
python -m bash_kernel.install

但无论后续如何调整配置，始终触发上述连接失败错误。

系统与配置信息 #

1. 执行jupyter kernelspec list返回结果：

.net-csharp        C:\Users\myusername\AppData\Roaming\jupyter\kernels\.net-csharp
  .net-fsharp        C:\Users\myusername\AppData\Roaming\jupyter\kernels\.net-fsharp
  .net-powershell    C:\Users\myusername\AppData\Roaming\jupyter\kernels\.net-powershell
  bash               C:\Users\myusername\AppData\Roaming\jupyter\kernels\bash
  javascript         C:\Users\myusername\AppData\Roaming\jupyter\kernels\javascript
  python3            C:\Users\myusername\AppData\Local\ESRI\conda\envs\bash_env\share\jupyter\kernels\python3

2. bash内核目录下的kernel.json内容：

{"argv": ["C:\\Users\\myusername\\AppData\\Local\\ESRI\\conda\\envs\\bash_env\\python.exe", "-m", "bash_kernel", "-f", "{connection_file}"], "codemirror_mode": "shell", "display_name": "Bash", "env": {"PS1": "$"}, "language": "bash"}

注：已尝试修改kernel.json的多种配置（包括直接指向bash.exe路径），也删除过整个bash内核目录让其从bash_env环境读取配置，问题仍未解决。

3. 已安装Git Bash，执行where bash返回：

C:\Program Files\Git\usr\bin\bash.exe
C:\Windows\System32\bash.exe

4. bash_env环境中的核心包版本：

• jupyter_server 1.21.0
• ipykernel 6.16.0
• ipython 7.34.0

额外排查操作 #

• 已删除浏览器Cookies，无效。
• 日志中捕获到关键错误回溯：

AttributeError: module 'pexpect' has no attribute 'spawn'
[I 14:19:58.810 NotebookApp] KernelRestarter: restarting kernel (1/5), new random ports
0.00s - Debugger warning: It seems that frozen modules are being used, which may
0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
0.00s - to python to disable frozen modules.
0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code

内容的提问来源于stack exchange，提问作者ENIAC-6