prune rule logic using global features
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- Dominant language
- Python
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Description
Once the global features are known (arch, os, format, etc.), then prune logic from the rules that won't ever match. This way, the same global feature are not re-evaluated over and over again, for each instance of the scope.
Edit:
I think it will be fine to prune logic away from the trees, but I don't think its easy to "pre-evaluate" global features. We would have to find a way to extend the logic tree nodes to cache a "pre-evaluated" result, which I think might be tricky/complex/fragile.
Contributor 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.
Research direction
No file or test is named. Start by tracing how global features and rule logic are evaluated across scope instances, then assess whether pruning or cached pre-evaluation is viable. Done means global features are not repeatedly evaluated and the matching behavior remains correct.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance, reverse-engineering
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100