AllenInstitute / AllenInstitute/AllenSDK
speed up glif models with numba jit
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Description
I am trying to speed up glif models with numba jit function decorator.
If I succeed can I make a pull request?
https://towardsdatascience.com/speed-up-your-algorithms-part-2-numba-293e554c5cc1
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 locating the GLIF model implementations and reading the linked Numba article. Identify which model functions are suitable for the jit decorator, then establish a before-and-after runtime comparison while checking that model behavior is unchanged. Done means a measured improvement and a clearly scoped pull request proposal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100