Constantin Runge

Results 33 issues of Constantin Runge

Would it be possible, to include other Markdown files into another 'base' file. With this you could split up your README.md for example, so users, that only want to see...

I think it would be a neat feature, if there were the ability to view documentation for documented source files. Just the other way round as the `view source` option.

Zygote seems to forget that the `maximum` of an array of integers is still discrete. ``` julia> foo(s) = s / maximum(eachindex([1, 1, 1, 1])) foo (generic function with 1...

ChainRules

When using `cleanfigure` on `stem`, data that can't be seen is not removed. Examle to reproduce: ```matlab figure stem(randn(10000, 1)) xlim([0 20]) cleanfigure ``` After the commands are executed, one...

feature request
cleanfigure

I have a function inside a module, that executes a `@distributed` loop. When the function is executed from the REPL without any other modules loaded, everything works fine. When `Revise`...

needs reproducer

I think support for disciplined quasiconvex programming would fit nicely into this package. Analogous to disciplined convex programming, there also is the language of disciplined quasiconvex programming [1]. Similar to...

Sometimes, when my working directory is dirty, `gitpatch` will hang. After `Ctrl-C`ing out, everything still works and simulations resume as desired. ``` ┌ Warning: The Git repository ('/[...].jl') is dirty!...

bug
help wanted
git

`fit(Histogram, X)` fails when `X` contains values `x` for which `iszero(x) == false` but `isinf(1 / x) == true`. Example: ``` julia> fit(Histogram, [2e-314; zeros(100)]) ERROR: InexactError: Int64(NaN) Stacktrace: [1]...

bug

If I understood #157 correctly, ForwardDiff should be able to differentiate a real-valued function with complex arguments. When I try this, I get the following error instead: ``` julia> ForwardDiff.gradient(v...

It seems that only ForwardDiff is supported for ADing sampling. Is it possible to implement rules for Zygote as well? ``` julia> ForwardDiff.derivative(x -> sum(rand(Normal(x, 10), 10)), 0.) 10.0 julia>...