PolicyEngine / PolicyEngine/policyengine-core

Compiled formulas

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Dominant language
Python
Stars
22
Forks
30
Avg merge
14h 33m
Merged PRs (30d)
7

Description

Magic methods are what enable machine learning libraries like TensorFlow or PyTorch to compile Python expressions of Tensors into optimised instructions. Can we do the same with PolicyEngine country packages?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by examining how PolicyEngine country packages currently evaluate Python expressions and identify the project entry points involved; no files or tests are named in the issue. Clarify the supported expression forms, compilation target, and optimization requirements before implementation, then define tests showing that equivalent expressions compile and produce correct results.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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