When I install packages, I sometimes encounter this error. What is the issue and how to resolve it?
Learn how to use the ]activate command.
Just create a new directory somewhere, e.g. c:/a_new_directory then activate
]activate c:/a_new_directory
Once activated, you can install whatever packages you need since it's a fresh environment.
Every time you want to use the same set of packages together, just activate that directory.
Try not to install everything using add try to do activate before add.
Related
I am using devtools::load_all as a workflow to iteratively make a package. However, I cannot seem to be able to view the package documentation using ? or help(package=package_name) until I install the package. The error I get is:
No documentation for ‘function’ in specified packages and libraries
and
URL '/help/library//r/html/00Index.html'
any suggestions on how to resolve this?
Thanks!
I guess the help(package=package_name) do nothing than open (in case of Windows) this file for you:
C:\Users\YourName\Documents\R\win-library\4.1\package_name\html\00Index.html
devtools::load_all make your latest functions available to you for testing without installing the package (i.e. the html file was not updated, and masked because it was belonged to the old version of your own package). To view your latest documentation (i.e. make a new version html), you can devtools::document() and check your package working directory \man\Functions_name.rd, OR, devtools::install() and help(package=package_name)
Just restarting r session solved my problem.
I've searched for tutorials to help configure the package in my PC, and I've found this one: https://www.youtube.com/watch?v=_fDhRL_LBdQ
I executed every part of the code interactively with the tutorial, but when I run ee_install() (after installing miniconda with py_discover_config() and other packages previously, such as reticulate), but it keeps me returning an error saying that anaconda is mandatory for the package since I'm a windows user.
Here is the error I get:
Error in ee_install_set_pyenv_env(py_env = py_env, py_path = python_path, : Windows users must install miniconda/anaconda to use rgee. The use of a Python environment is mandatory.
I've just installed Anaconda (full version with navigator) and I set a new python environment called "py2r" and tried to use the function ee_install_set_pyenv(), passing the path to the environment created through Anaconda Navigator (which has a python.exe) as paremeter to py_path and the name "py2r" as paremeter for py_env arg. And yet, it didn't work.
What am I missing?
In case you want to take a look at the code, I can provide it, but I don't think it's necessary because is a simple test script that follows as I described.
Thanks for your attention and congratulations for the library, it will be very usefull for me at work!
I fixed the ee_install() problems bypassing them and doing every passage manually. It will require no more then 10 mins and you will probably fix the installation problems. You can find and follow the manual installation with this tutorial:
https://www.youtube.com/watch?v=1-k6wNL2hlo
I often ]dev Pkg but I want the devved packaged to be stored somewhere other than the default location for convenient access.
I don't want to change the path of the ]add Pkg. This seems to be controlled by the environment parameter DEPOT_PATH.
Is there a way to change only the path for dev Pkg, i.e. the path in which the dev package is stored?
You can set the environment variable JULIA_PKG_DEVDIR to change where development packages are installed. See the develop docs for more info.
As #crstnbr noted, an alternative is to use the --local option to the pkg> dev command to install a development version of the package in a dev directory within the current project. This could make sense if you're developing your own package MyCode.jl which relies on Example.jl and you need to make a hot fix to Example.jl. Then your Pkg REPL command would look like this:
(MyCode) pkg> dev --local Example
If you would like to make changes to a third-party package and submit those changes as a pull request on Github, there are a few more steps in the process. See this Discourse thread for more details on that process.
Not quite what you're asking for but you can of course always git clone the package to a path of your choice and then dev path/to/the/local/clone/of/the/pkg.
You can even do this from within julia:
using Pkg
Pkg.GitTools.clone("<pkg url>", "<local path>")
Pkg.develop(PackageSpec(path="<local path>"))
I am really new to Julia and confused about using an old version of the SISL Vec package.
I am trying to setup ngsim_env and their instructions require you to use an older v0.1.0 of Vec. But, when I followed the instructions to install the Vec package and then checkout the v0.1.0 tag it didn't work.
Here's what I did
$ julia ../build.jl for some package which includes this block
packages = keys(Pkg.installed())
if !in("Vec", packages)
Pkg.clone("https://github.com/tawheeler/Vec.jl.git")
end
Note: This git URL actually goes to the SISL Vec page.
cd ~/.julia/packages/Vec
git fetch tags
git checkout v0.1.0
I did a bunch of other installations with many other packages. At some point I noticed that there is a package ~/.julia/dev/Vec and ~/.julia/packages/Vec. The one in dev has the correct v0.1.0 code and the one in packages has the newer wrong code. When I tried to use other packages that needed the older Vec they were throwing errors and the paths were to files in the packages directory.
I tried Pkg.rm("Vec"). This did something to the project manifest. After nothing worked, every package would throw errors like KeyError: key "Vec" not found and Pkg.add("Vec") nor original Vec installation helped. I even tried removing both the Vec directories from ~/.julia but that didn't help.
I guess a big question is why does Julia put some packages into packages/ and others into dev/ and how to control which one's get used if the same package appears in both places like Vec is.
Would greatly appreciate any assistance, totally confused.
The dev command fetches a full clone of the package to ~/.julia/dev/
via the docs. The only things I have in my dev directory there are the ones I am developing on my own.
I think that triggered when you did a check out manually with git checkout.
Accordingly:
to stop tracking a path and use the registered version again, use free
Try deleting the packages, and whipping mentions of Vec.jl from your manifest:
(v1.0) pkg> rm Vec
(v1.0) pkg> add https://github.com/tawheeler/Vec.jl.git#0.1.0
In general, try using Pkg when possible, cause it does a lot of house keeping magic in the back
(Also, the repl interface with pkg makes everything easier, so hit ] from a blank julia> to get there. And a quick Pkg.status() or ] st will show you what youre tracking and whats in dev and what version you have pinned, etc.)
I'm installing a new package on composer and I'm receiving the following error when I try to run 'composer update':
[Symfony\Component\Process\Exception\RuntimeException] The process
has been signaled with signal "11".
I have figured out that the new package is somehow conflicting with another package I already have installed. On their own, I am able to install either one, but when I try to install both of them together, I receive that error message.
The packages that are in conflict are (from composer.json):
"laravel/cashier": "~2.0" "thujohn/analytics": "dev-master"
How can I figure out what is causing this conflict and how can I fix it?
I'm not sure the error you are receiving is due to package conflicts. Typically signal 11 indicates a segmentation fault where a process has attempted to access an invalid memory address or cannot otherwise write correctly. The first things to check is that write permissions are set correctly and you are an using up-to-date version of composer.
If it is due to a package conflict then a quick & easy fix is to be more specific with the package versions specified.
try:
"thujohn/analytics": "1.0.*"
Also, I notice that you are using a very old version of Laravel Cashier (it's now up to version 5). If possible, switching to a newer version may help.