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- HOW TO INSTALL R STUDIO TO D DISC UPDATE
- HOW TO INSTALL R STUDIO TO D DISC SOFTWARE
- HOW TO INSTALL R STUDIO TO D DISC CODE
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valgrind isĪ profiler that can catch serious issues like memory leaks and illegal Sh build-cran-package.sh -r-executable=RD$ testthat.R > tests.log 2>&1Īll packages uploaded to CRAN must be built and tested without e "install.packages(c('R6', 'data.table', 'jsonlite', 'Matrix', 'testthat'), repos = '', Ncpus = parallel::detectCores())" "csan" = replicates CRAN’s clang-ASAN and.
HOW TO INSTALL R STUDIO TO D DISC CODE
In the code below, environment variable R_CUSTOMIZATION Information on the image used for testing, see. You can replicate these checks locally using Docker.
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Sanitizer (ASAN) and the Undefined Behavior Sanitizer (UBSAN). Pull request (only on internal one, does not work for ones from forks),Īt build time, configure.win will be run and used toĪll packages uploaded to CRAN must pass builds using gccĪnd clang, instrumented with two sanitizers: the Address To see availableĪlternatively, GitHub Actions can re-generate this file for you.
HOW TO INSTALL R STUDIO TO D DISC UPDATE
Version, update that file and run the commands above. The version of autoconf used by this project is stored The code below from the root of this repo. If you do not have easy access to an Ubuntu 20.04 environment, theĬonfigure script can be generated using Docker by running Script from the root of the LightGBM repository./R-package/recreate-configure.sh If you have an Ubuntu 20.04 environment available, run the provided This file must be generated on Ubuntu 20.04. To update the package, edit the files relevant to your changeĪt build time, configure will be run and used to createĮdit it by hand. This section briefly explains the key files for building a CRAN An extensive treatment of those details is available in “Writing R CMD build and R CMD install, so it can beĭifficult to understand how the files in the R package are related toĮach other. Rscript build_r.R -use-msys2Ī lot of details are handled automatically by Version), pass -use-msys2 to the installation script. If you want to force LightGBM to use MSYS2 (for any R If you are using R 4.x and installation fails with Visual Studio, Version), pass -use-mingw to the installation script. If you want to force LightGBM to use MinGW (for any R LightGBM will fall back to using MinGW bundled with If you are using R 3.x and installation fails with Visual Studio, It may result in 10x slower results than Visualīy default, the package will be built with Visual Studio Build Do not try using MinGW in Windows on manyĬore systems. You do not know what to choose, it is recommended to use Visual Studio, For very simple systems (dual coreĬomputers or worse), MinGW64 is recommended for maximum performance. Visual Studio for its better multi-threading efficiency in Warning for Windows users: it is recommended to use The R package can be built with three different toolchains.
HOW TO INSTALL R STUDIO TO D DISC SOFTWARE
A “toolchain” refers to the collection of software used to build the