Simon
Simon
I can't reproduce this! ``` Julia Julia Version 0.4.0-dev+6494 Commit e66175b* (2015-08-04 08:04 UTC) Platform Info: System: Windows (x86_64-w64-mingw32) CPU: Intel(R) Core(TM) i5-4200U CPU @ 1.60GHz WORD_SIZE: 64 BLAS: libopenblas...
JK, I can reproduce it on current ZMQ master and rebuilding it: ``` Julia julia> Pkg.build("ZMQ") INFO: Building WinRPM INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win32/openSUSE_13.1//repodata/repomd.xml INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win32/openSUSE_13.1//repodata/617a4f801d9c935d510cceb5d34542d323a967d1af8160e0e5eb493767303c46-primary.xml.gz INFO: Downloading http://download.opensuse.org/repositories/windows:/mingw:/win64/openSUSE_13.1//repodata/repomd.xml INFO: Downloading...
Okay seems like it was solved by getting rid of that curl version. Can we do something to give a better error message? Where would the check of the curl...
Hm, I guess I argument goes pretty similar as yours :D I prefer avoiding writing anything specific to tables and would love to just define my algorithms on `AbstractArray{
any solution for this? I'm using now a separate script to run this command, but that's a bit ugly ;)
[Yeah I do](https://github.com/JuliaPlots/GLMakie.jl/blob/master/.github/workflows/ci.yml#L42) ;) I just run into a problem recently when github upgraded the linux distro. Also, multiple os are a pain to handle like that - which sounds...
What code did you execute?
@kimlaberinto created a function for this: ```julia function create_jitter_array(length_data_array; jitter_width = 0.1, clamped_portion = 0.1) jitter_width < 0 && ArgumentError("`jitter_width` should be positive.") !(0
>I highly recommend using IPython instead of bare Python REPL: Well, this is for wrapping my Julia library in Python for others, so I won't really know from where they'll...
Btw, after quite a bit of fiddling, this was the only solution that worked for me: ```python import asyncio, itertools async def julia_yielder(): for i in itertools.count(): Main.eval("yield()") await asyncio.sleep(1/30)...