Spencer Russell

alright, I think I added the token secret correctly

ok, I had added it as a dependabot secret instead of a repository secret. I'm guessing the latter is correct. hopefully good now?

Seems like a duplicate of https://github.com/julia-vscode/LanguageServer.jl/issues/1054, though this repo is maybe where it belongs.

> The only thing I'm afraid of is that it also has some code for automatic labelling that does not really make sense in general. Ah, I didn't know there...

hah, I was just checking to see if there was an issue filed for this and it turns out I already filed one. Does this seem like a good idea...

For fixed samplerate data you may want to look at [SampledSignals.jl](https://github.com/JuliaAudio/SampledSignals.jl) or [AxisArrays.jl](https://github.com/JuliaArrays/AxisArrays.jl), both of which are designed for regularly-sampled data. They don't have any special handling for data that's...

I put together a little demo implementation of `Complex{Dual}` perturbation seeding with test cases and a little `f: C->R` gradient-descent demo: https://gist.github.com/ssfrr/6dcb548c06e18e54c35fc89874fad553

Some more possibly relevant discussion and info: * FluxML/Zygote.jl#29 * [Back Propagation for Complex Valued Neural Networks](https://giggleliu.github.io/2018/02/01/complex_bp.html) by @giggleliu * [Complex-Valued Matrix Differentiation: Techniques and Key Results](http://www.eurecom.fr/~gesbert/papers/short_matrix_diff.pdf)

update - rewriting the broadcast in terms of `map` seems to work: ```julia function err(D) errs = map(X1, X2, ω) do x1, x2, om abs2(x2 - x1 * exp(-im*om*D)) end...

I just re-tried this with IntervalOptimisation#master and IntervalArithmetic#master and got the same error. I tried on both Julia 1.1 and Julia 1.2.