JuliaApproximation / JuliaApproximation/MultivariateOrthogonalPolynomials.jl
Lowering bug?
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 20
- Forks
- 6
- Avg merge
- 2d 17h
- Merged PRs (30d)
- 1
Description
@dlfivefifty The lowering Zernike(0,1) \ Weighted(Zernike(0,1)) is a factor of 2 off. This also seems to be confirmed in the tests..?
Is there a reason for this?
Contributor guide
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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 reading the lowering case for Zernike(0,1) \ Weighted(Zernike(0,1)) at test/test_disk.jl line 303 and run the relevant disk tests. Trace the lowering behavior that produces the factor-of-two difference, then determine whether the discrepancy is expected or a bug. Done means the behavior is explained and, if incorrect, the implementation and test agree with the intended normalization.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100