Is there a way to, using the grunt-contrib-uglify package, remove the
//# sourceMappingURL=index.js.map comment in the compiled output?
I have tried using the options provided in their documentation but the comment remains.
This is the only (out of 3 packages) that is using a Source Map in our code-base and I'd like to remove the functionality.
Related
I'm developing a package in RStudio with usethis, trying to make use of best practices. Previously, I had run usethis::use_tidy_eval(). Now, I'm using data.table, and set this up by running usethis::use_data_table(). I get a warning,
Warning message:
replacing previous import ‘data.table:::=’ by ‘rlang:::=’ when loading ‘breakdown’
because the NAMESPACE contains the the two lines:
importFrom(rlang,":=")
importFrom(data.table,":=")
It turns out I no longer need usethis::use_tidy_eval(), so I'd like to revert it and in doing so get rid of the warning.
How can I undo whatever usethis helper functions do? Must I edit the NAMESPACE myself? How do I know what else was modified by usethis::use_tidy_eval()? What about undoing usethis::use_pipe()?
Unless you made a Git commit before and after running that code, there's probably not an extremely easy way. The two options I'd consider would be:
Read the source code of the function. This can require some hopping around to find definitions of helper functions, but use_tidy_eval looks like it:
adds roxygen to Suggests in DESCRIPTION
adds rlang to Imports in DESCRIPTION
adds the template R file tidy-eval.R
asks you to run document() which is what actually updates the NAMESPACE. You can find the lines added by looking for the importFrom roxygen tags in the template file.
To undo this, you should just be able to delete all of the above. However, you need to be a bit careful - e.g. if you import functions from rlang outside of tidy-eval.R, removing it from DESCRIPTION might prevent installation. Hopefully any such issues would be revealed by devtools::check() if they do happen.
The other option would be to get an older version of your package, run use_tidy_eval() and document() and then compare the changes. That will be more comprehensive and might catch things I missed above, but the same caveats about not being able to necessarily just reverse everything still apply.
Same strategy for use_pipe().
Sidenote: there are probably ways to adequately qualify different uses of := so that both can coexist in your package, in case that would be preferable.
I'm using VS Code and i miss RStudio's ctrl+i to indent lines.
I've read stuff online about LSP and other extensions and formatting with shift+alt+F but all i get is linter.
So, whats the equivalent if is there at all?
Found a solution but there a few things to take note.
First, VSCode notive options are language-agnostic, meaning it can't indent R code 'cause it doesn't understand it. You got to download extensions to make i work.
Extensions required are
Yuki Ueda's R for language support
REditorSupport's R LSP Client
Also, in order to R LSP Client to work, CRAN package {languageserver} is required.
Then, usage. If you're working functions, differently from RStudio in which one can hit ctrl+i and that'd indent that specifically line or selection, this solution works only if one selects the entire function. If you have functions inside another, you gotta indent everything (won't work for just a foo inside another).
As already mentioned I'm using the Atom text editor.
I'm currently working on a project written in c++. Of course it is desirable to jump to the definition of a function (in another project file), or other uses of this function (within the project). As far as I know this can be achieved with the packages I'll mention below. I want the package to display me the definition along with the path to the corresponding file which holds the definition and ideally the line where it occurs.
I'll welcome any comments and suggestions on how to solve the below mentioned problem(s) I have with (one of) the packages. Moreover I'm also thankful about pointers to possible solutions or posts concerning my problem(s), or how I can achieve this with another package.
Here is what I found / tried / did so far.
goto
Currently I'm using this package, although it is rather slow and does not show the arguments of the function as e.g. atom-ctags does, but it's the only package which displays me the files I need to see.
It shows me where the function is defined as well as where it is also used. However it does not show me the path to the file corresponding file it refers to.
atom-ctags
I also tried this package, building the tags is quite fast and moreover it show me the path to the file. But this package only lists the .cc files and not the .h files. It appears to me as if it only shows me the other uses but not the definition, which is obviously a problem.
I also tried generating the ctags myself and changing the command options in the settings of the package, unfortunately without any success.
Atoms built-in symbols-view
In order to get this to work, one needs to generate the symbols. This can be, for example, achieved with the symbol-gen package. However, it shows me some of the definitions, but also no .h files. Moreover, jumping to the definition results in a Selected file does not exist., therefore it is not usable at all.
goto-definition
Just for completeness, there is also this package. It does not work for me, since c++ is not supported but maybe others will find it useful.
symbols-plus
Again, for completeness, this should be a replacement for the atom built-in, but when disabling the build-in it does not show me any jump functionality nor is a short cut mentioned.
So, basically, nothing really works well. I have tried Symbol Tree View but it but barely works.
I am trying to follow closely #hadley's book to learn best practices in writing R packages. And I was thrilled to read these lines about the philosophy of the book:
anything that can be automated, should be automated. Do as little as
possible by hand. Do as much as possible with functions.
So when I was reading about dependencies and the (sort of) confusing differences between import directives in the NAMESPACE file and the "Imports:" field in the DESCRIPTION file, I was hoping that roxygen2 would automatically handle both of them. After all
Every package mentioned in NAMESPACE must also be present in the
Imports or Depends fields.
I was hoping that roxygen2 would take every #import in my functions and make sure it is included in the DESCRIPTION file. But it does not do that automatically.
So I either have to add it manually to the DESCRIPTION file or almost manually using devtools::use_package.
Looking around for an answer, I found this question in SO, where #hadley confirms in the comments that
Currently, the namespace roclet will modify NAMESPACE but not
DESCRIPTION
and other posts (e.g. here or here) where collate_roclet is discussed, but "This only matters if your code has side-effects; most commonly because you’re using S4".
I wonder:
the reason that DESCRIPTION is not automatically updated (sort of contradicting the aforementioned philosophy, which is presumably shared by roxygen2) and
If someone has already crafted a way to do it
I have written a little R package for that task:
https://github.com/markusdumke/pkghelper
It scans the R Code and NAMESPACE for packages in use and adds them to the Imports section.
The namespace_roclet edits the NAMESPACE file based on the tags added in the script before the function. As there are three types of dependencies (Depends, Imports, and Suggests), a similar method as used by the namespace_roclet would require three different tags (notice Imports should be a different one, to differentiate it from the packages to attach in NAMESPACE).
If you are willing to take a semi-automated process, you could identify the packages you have used and add the missing ones to DESCRIPTION, in the adequate sections.
library(reinstallr)
package.dir <- getwd()
base_path <- normalizePath(package.dir)
files <- list.files(file.path(base_path, "R"), full.names = TRUE)
packages <- unique(reinstallr:::scan_for_packages(files)$package)
packages
Regarding the two bullets you wonder about at the bottom:
Updates to the DESCRIPTION file could be further automated with additional roclets, however already >4 years ago such a pull request was deferred:
https://github.com/klutometis/roxygen/pull/76
I have to assume that the guys would indeed rather have you use the devtools package for updating the DESCRIPTION file, instead of adding this to roxygen2. So in that sense, devtools would be the first available choice
Has anyone managed to get color syntax-highlighting working in the output of Sweave documents? I've been able to customize the output style by adding boxes, etc. in the Sweave.sty file as follows:
\DefineVerbatimEnvironment{Sinput}{Verbatim}{fontseries=bc,frame=single}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{fontseries=bc}
And I can get the minted package to do syntax highlighting of verbatim-code blocks in my document like so:
\begin{minted}{perl}
use Foo::Bar;
...
\end{minted}
but I'm not sure how to combine the two for R input sections. I tried the following:
\DefineVerbatimEnvironment{Sinput}{minted}{r}
\DefineVerbatimEnvironment{Scode}{minted}{r}
Any suggestions?
Yes, look at some of the vignettes for Rcpp as for example (to pick just one) the Rcpp-FAQ pdf.
We use the highlight by Romain which itself can farm out to the hightlight binary by Andre Simon. It makes everything a little more involved---Makefiles for the vignettes etc pp---but we get colourful output from R and C/C++ code. Which makes it worth it.
I have a solution that has worked for me, I have not tried it on any other systems though so things may not work out of the box for you. I've posted some code at https://gist.github.com/797478 that is a set of modified Rweave driver functions that make use of minted blocks instead of verbatim blocks.
To use this driver just specify it when calling the Sweave function with the driver=RweaveLatexMinted() option.
Here's how I've ended up solving it, starting from #daroczig's suggestion.
\usepackage{minted}
\renewenvironment{Sinput}{\minted[frame=single]{r}}{\endminted}
\DefineVerbatimEnvironment{Soutput}{Verbatim}{frame=leftline}
\DefineVerbatimEnvironment{Scode}{Verbatim}{}
While I was at it, I needed to get caching working because I'm using large data sets and one chunk was taking around 3 minutes to complete. So I wrote this zsh shell function to process an .Rnw file with caching:
function sweaveCache() {
Rscript -e "library(cacheSweave); setCacheDir(getwd()); Sweave('$1.Rnw', driver = cacheSweaveDriver)" &&
pdflatex --shell-escape $1.tex &&
open $1.pdf
}
Now I just do sweaveCache myFile and I get the result opened in Preview (on OS X).
This topic on tex.StackExchange might be interesting for you, as it suggest loading the SweaveListingUtils package in R for easy solution.