I've been trying for the longest time to work with the Juno IDE, and I've always stumbled upon a problem with the GLPK package, which basically was THE package I was needing to use. I tried uninstalling both Julia and Atom, and installing their most recent versions. Upon booting Julia via Atom, this is what I got:
Starting Julia...
ERROR: LoadError: UndefVarError: shift! not defined
Please, help me.
Related
I am trying to use the Twitter.jl package locally on my M1 Mac. However, when I try to install it, I get:
ERROR: Error building `DecFP`:
┌ Warning: Platform `arm64-apple-darwin21.2.0` is not an officially supported platform
└ # BinaryProvider ~/.julia/packages/BinaryProvider/U2dKK/src/PlatformNames.jl:450
ERROR: LoadError: KeyError: key "unknown" not found
DecFP looks like it's an up to date Julia package so I am not sure what the issue would be in this case.
I would like to get a general set of steps to resolve issues like this since I know this package isn't the only one that will have installation issues so hopefully this can be used to help others who have similar issues.
The issue is that Twitter.jl is pulling an old version of OAuth.jl which doesn't work on the M1. I have opened a PR so it pulls a newer version and it should work.
About these cases in general the steps are identifying what package is using BinaryProvider, in this case it's an old MbedTLS that was pulled by an old OAuth. The solutions are, if there is a newer version, change the compat bounds, and if there isn't then one has to build the needed binary using BinaryBuilder.jl and change the dependent packages to use it.
In most cases just opening an issue in github should be enough :).
I had used Julia some months back for a project, and didn't use it since. I hadn't faced problems back then. But now, I absolutely am not able to install any package.
(#v1.5) pkg> add Distributions
Resolving package versions...
ERROR: Unsatisfiable requirements detected for package Distributions [31c24e10]:
Distributions [31c24e10] log:
├─Distributions [31c24e10] has no known versions!
└─restricted to versions * by an explicit requirement — no versions left
Any package I install, I am getting the same error. How do I fix it?
This is the status of Pkg:
(#v1.5) pkg> status
Status `C:\Users\jaine\.julia\environments\v1.5\Project.toml`
[6e4b80f9] BenchmarkTools v0.5.0
[7073ff75] IJulia v1.21.2
[91a5bcdd] Plots v1.6.0
[438e738f] PyCall v1.91.4
[d330b81b] PyPlot v2.9.0
[2913bbd2] StatsBase v0.33.0
Given
├─Distributions [31c24e10] has no known versions!
it looks like you have a missing or corrupt package registry. The package manager will reinstall it for you if you delete .julia/registries and try to add the package again.
You can do this from within julia
rm(joinpath(homedir(), ".julia", "registries"), recursive=true, force=true)
These are indeed some of the more tricky situations to resolve so please bear with me as we work through this.
If you are not familiar with the basics of the package manager, it's worth a quick read to check out: https://julialang.github.io/Pkg.jl/v1/getting-started/
Assuming you are now in the Julia Repl, my general work flow for these issues is to remove everything it warns me about. The core problem here is that one of your existing packages is saying it needs a specific version of Distributions.jl but it's not able to add it. So, the first step would be to enter the pkg manager by doing ] and type rm Distributions.
Then, while still in the pkg mode, do resolve and add Distributions.
So the process is to just remove each package the Repl complains about until it stops complaining.
Note: If you run into something like this again, the worst-case scenario is to remove the project and manifest files for the specific Julia version you are using. If you navigate to ".julia/environments" you should be able to completely reset the Julia Env for a specific version there (that way you don't need to actually reinstall Julia).
I keep trying to add IJulia in the REPL, and I keep getting this error message:
I tried installing JSON directly, but the REPL would say "The following packages names could not be resolved".
If it helps, I'm running a Windows 10 laptop with julia 1.0.5
Is there a fix to this? Should I install an earlier version to julia?
Appreciate the time.
It seems like you have outdated registries locally.
The registries are ~/.julia/registries, message like The following package names could not be resolved usually suggests that registry are not updated or somehow corrupted.
Delete them (the directory ~/.julia/registries/General) and then adding packages should cause the General registry to be downloaded, the newest version. Then you should be able to add IJulia without problem.
More people encountered this problem with messed up registry, see https://discourse.julialang.org/t/registry-failed-to-update/17840/10
I would like to install the R Package JuliaCall, to use Julia from R. I have installed Julia via snap and installed the JuliaCall R package form the Cran.
I received the following error when trying to use the setup function of JuliaCall.
library(JuliaCall)
julia <- julia_setup()
Julia version 1.0.4 at location /snap/julia/13/bin will be used.
Error in dyn.load(.julia$dll_file) :
unable to load shared object '/snap/julia/13/bin/../lib/libjulia.so.1':
/snap/julia/13/bin/../lib/libjulia.so.1: wrong ELF class: ELFCLASS32
Show Traceback
Rerun with Debug
Error in juliacall_initialize(.julia$dll_file) :
/snap/julia/13/bin/../lib/libjulia.so.1 - /snap/julia/13/bin/../lib/libjulia.so.1: wrong ELF class: ELFCLASS32
Julia is installed:
XRJulia::findJulia()
[1] "/snap/bin/julia"
I have tried some suggestions found in
https://github.com/Non-Contradiction/JuliaCall/issues/72
and even report my problems, but I'm not sure if this is an issue to open on Github or a problem with my installation.
The same error occurs
My system specifications are:
Ubuntu 18.04,
Rstudio 1.1.456,
R 3.5.1,
Julia installed via snap
Thanks for any help you could provide
Actually, the developer of JuliaCall answered my question.
I have installed Julia using snap without noticing that a 32bits version was used. Installing Julia from the .tar.gz archive and choosing the correct 64 bits version solve this problem.
Many Thanks to #Non-Contradiction.
Following RCall's documentation, I ran Pkg.add("RCall") which looked to be working. Then, running using RCall gave:
WARNING: could not import StatsModels.Formula into RCall
ERROR: LoadError: RCall not properly installed. Please run Pkg.build("RCall")
#... few lines later
ERROR: Failed to precompile RCall [6f49c342-dc21-5d91-9882-a32aef131414] to C:\Users\jke4\.julia\compiled\v1.1\RCall\8GFyb.ji.
That's why I ran Pkg.build("RCall"):
┌ Error: Error building `RCall`:
│ ERROR: LoadError: R cannot be found. Set the "R_HOME" environment variable to re-run Pkg.build("RCall").
I believe, accordingly to RCall's documentation that I have to do a custom installation, but why can't am I able to simply install by Pkg.add("RCall") like it's suppose to be done?
RCall.jl can simply be installed with
Pkg.add("RCall")
Note:
Julia version is 1.1.0.
using Conda does work.
There is no R version installed in my Windows computer
I do understand what is my error message and how I can deal with it. My question is why do I have it whereas I wasn't suppose to, quoting RCall's documentation:
RCall.jl will automatically install R for you using Conda if it doesn't detect that you have R 3.4.0 or later installed already.
Update
Alright, I've done what #Cameron Bieganek suggests: pkg> pin StatsModels#0.5
And it seems to work for a moment. However, after doing ] up, accordingly with the issue I had in this question.
using RCall now gives:
ERROR: LoadError: RCall not properly installed. Please run Pkg.build("RCall")
and Pkg.build("RCall"):
┌ Error: Error building `RCall`:
│ ERROR: LoadError: IOError: stat: invalid argument (EINVAL)
This time I can't get what's the error.
GitHub
Please note that this question is also referenced on GitHub RCall.jl.