JuliaApproximation / JuliaApproximation/GenericFFT.jl
support multidimensional transforms
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- Dominant language
- Julia
- Stars
- 16
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
We currently have:
julia> using GenericFFT
julia> x = rand(BigFloat, 16, 16);
julia> fft(x)
ERROR: MethodError: no method matching generic_fft(::Matrix{Complex{BigFloat}}, ::UnitRange{Int64})
The call fft(x,1) returns something, but fft(x,2) returns an error.
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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 reproducing the Julia session in the issue and compare the behavior of fft(x,1) with fft(x,2) for the shown 16×16 BigFloat matrix. Inspect the existing multidimensional FFT entry points and make the transform work along both dimensions without the reported MethodError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100