PolicyEngine / PolicyEngine/policyengine-uk
Optimize memory and performance impacts
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 50
- Forks
- 33
- Avg merge
- 20h 58m
- Merged PRs (30d)
- 14
Description
This model wasn't written with memory usage at the forefront of its targets, but with the tax-benefit system now written with its complexity, a smaller performance and memory footprint would be hugely beneficial. I can think of one way: finding the subset of variables involved in the net_income computation tree.
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
Start by examining the net_income computation tree, which the issue identifies as a possible basis for finding the relevant variables. The issue does not name files or tests, and completion criteria beyond reducing the model's memory usage and performance footprint are not specified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, performance
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100