pycroscopy / pycroscopy/asyncroscopy
Migrate to true asyncronous Tango Devices
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 9
- Forks
- 11
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 2
Description
I learned that inside Tango devices you can set
green_mode = GreenMode.Asyncio
This will allow us native Tango support for asynchronous functions, which is especially helpful for the LLM Device (which is asynchronous in nature). And of course then this repo can finally live up to its name
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the Tango device definitions and the LLM Device implementation, then inspect how device execution modes are currently configured. Check how green_mode = GreenMode.Asyncio affects the asynchronous functions involved. Done means the relevant Tango devices use native asynchronous support without breaking their existing coordination behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- backend
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100