Emulate RandomActivation with `DataFrame.rolling`
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
No repository file, test, or entry point is named. Start by reading the issue context and the linked pandas.DataFrame.rolling documentation, then identify where agent scheduling and environment updates are implemented. Done would require a defined implementation scope and tests showing the intended RandomActivation behavior.
Written by the indexing model from the issue text.
Description
If you shuffle the Agents DataFrame, and then apply a rolling operation, you kind-of can emulate RandomActivation scheduling. The environment wouldn't be updated, but the other Agents will be.
https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rolling.html
- Dominant language
- Python
- Stars
- 43
- Forks
- 19
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
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.
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