#Cmake copy file how to
#Cmake copy file code

The pointer basically stores repo’s URL and the commit you choose to point at (e.g. Git submodules are basically pointers to other repositories. Your source directory might become huge if you have a lot of dependencies (and the repo size might increase dramatically as well).to fix some problem or by mistake when you refactored something). You also don’t get a clear picture if you’ve modified the dependencies’ sources (e.g.It might be hard to know which exact version the dependencies are.However, this is not the best way of doing it: For example, you can just copy SFML sources to your /dependencies/SFML and then just do add_subdirectory(dependencies/SFML) in your main CMake file (and then link to SFML’s targets as needed)

#Cmake copy file code

The simplest way of doing dependency management is to simply copy source code of your dependencies into your project source directory. There are a lot of ways of managing dependencies with CMake, so let’s to a quick overview of possible ways. src/Release).įor generators which don’t support multi-configuration builds in one build directory, you’ll have to make multiple build directories for each build type. If in Ninja, GNU make and so on, your example_exe will be located in /src/, in Visual Studio it will be localted in /src// (e.g.

#Cmake copy file how to

It’s actually a bit more complex, but it’s okay to think about it as “include” at the beginning.įor example, if you have an examples directory, it’s good to have a examples/CMakeLists.txt which will just be a bunch of add_subdirectory calls for each sub-directory and example/some_example/CMakeLists.txt will be a build script which contains information on how to build some_example.Ĭmake -build. I’ve seen a lot of people getting VERSION from a current Git tag or some changelog file, but we’ll not go here in this tutorial.Īdd_subdirectory() is like an “include” and can be thought of as an inclusion of /CMakeLists.txt into another CMake file. It can be used to generate “version” headers (here’s an example of how to do it), write some output in a terminal and so on. VERSION option specifies a current version of your project. If you’re doing C or C++ project, it’s optional to specify it, but it’s still useful as a “meta-data” for people who’re reading your CMake build. By default it’s C and CXX, but there are a lot of other options available for you (like CUDA or Fortran). LANGUAGES option in a project call defines a language which your project uses so that CMake knows what kind of builds to generate. it can run unit tests, linters and so on). The target can be an executable, a library or even something which doesn’t produce any files after it’s built (e.g. One project can have multiple “targets” (which roughly correspond to “projects” in VS). The project is similar to a concept of “solution” in Visual Studio terminology. There are many regex guides online – I often head over to Rubular to test a pattern if I’m having trouble (note that it’s actually designed for Ruby and not R but they seem similar enough that it has always worked so far).Project( example LANGUAGES CXX VERSION 1.0 ) The only tricky bit can be getting the regex pattern right to pull out the files you want to manipulate. This will chug away for a bit (time for a coffee, anyone?) and then produce a vector of TRUE/FALSE the same length as your list.of.files that identifies whether it was able to copy them or not. List.of.files <- list.files(current.folder, 'SDM.tif$') New.folder <- 'H:/Where I want my files to be copied to'

# identify the foldersĬurrent.folder <- 'C:/Where my files currently live'

In my case, I wanted to identify all Geo-tiff formatted rasters whose filenames ended in “SDM” and copy them to a new directory. Basically, you point R at the directory where your files live, identify the files that you want to manipulate and then tell it what you want to do to them. R has a nice set of file manipulation commands in the base package that make it really easy to find out if a file exists ( file.exist), rename files ( file.rename), copy them to a different directory ( py) or delete them ( lete). So enter my foray into copying files using R. Not only would this have been incredibly tedious(!), it’s highly likely that I would have made a mistake and missed something important or copied over files that they didn’t need. While this is not typically a difficult task to do manually, I didn’t want to copy all of the files within the folder and there was no way to sort the folder in a sensible manner that meant I could select out the files that I wanted without individually clicking on all 723 files (out of ~4,300) and copying them over.

Following on from my recent experience with deleting files using R, I found myself needing to copy a large number of raster files from a folder on my computer to a USB drive so that I could post them to a colleague (yes, snail mail – how old and antiquated!).