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
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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}.

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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 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

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