low-frequency error on module object with `use_dill`
- 主要語言
- Jupyter Notebook
- 星號
- 2.6k
- 分支
- 1k
- PR 合併指標
- 30 天內沒有已合併 PR
描述
Apparently there's a low-frequency issue (submitted by @jakirkham) that surfaces with code similar to this:
```
from ipyparallel import Client
client = Client()
client[:].use_dill().get()
with client[:].sync_imports():
import nest
from nest import A, B
```
Which produces:
```
AttributeError: 'module' object has no attribute '__main__'
```
I have not been able to reproduce the error, however @tcwalther has -- and provides a workaround.
See https://github.com/uqfoundation/dill/issues/133.
To me, it smells like something `ipyparallel` should be handling… so, I'm punting this over to an `ipyparallel` ticket until I hear differently.
貢獻指南
研究方向
Start by running the issue's Client, use_dill(), and sync_imports() example, then compare the failure with dill issue 133. No source file or test is named; done means determining whether ipyparallel owns the error and documenting or fixing the behavior accordingly.
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- jupyter, python
- 領域
- distributed-systems
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 25/100