JuliaDiff / JuliaDiff/Diffractor.jl
Forward mode with complex numbers
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forward-mode
- Dominant language
- Julia
- Stars
- 453
- Forks
- 33
- PR merge metrics
- No merged PRs in 30d
Description
These should agree, right?
julia> Diffractor.PrimeDerivativeBack(x -> real(sin(x)))(1+im)
0.8337300251311491 + 0.9888977057628651im
julia> Diffractor.PrimeDerivativeFwd(x -> real(sin(x)))(1+im)
ERROR: Tangent space not defined for `Complex{Int64}.
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 reproducing the two Julia REPL examples in the issue and compare forward-mode behavior with reverse mode for real(sin(x)) at 1+im. Trace the source path that produces the Tangent space not defined for Complex{Int64} error. Done means forward mode handles this case consistently with the reverse-mode result.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- devtools
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100