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The rco Docker image will optimize any CRAN package, using the latest GitHub rco stable version.
If the package to optimize has a testthat suite, then it will test the original and optimized versions, and show the obtained speed-up.
First, you need to install Docker on your computer.
And then, from a terminal, the rco Docker image can be pulled from Docker Hub with:
docker pull jcrodriguez1989/rco
The docker image basic usage will optimize a random CRAN package, this is done with:
docker run jcrodriguez1989/rco
We can also specify a package to optimize, using the RCO_PKG environment variable, for example, if we want to optimize the rflights package:
docker run -e RCO_PKG=rflights jcrodriguez1989/rco
Also, if we want to get the resulting optimized files we can set a docker shared folder, with:
# Replace DEST_FOLDER path, with your desired output path
DEST_FOLDER=/tmp/rco_dock_res
docker run -v $DEST_FOLDER:/rco_results jcrodriguez1989/rco
In summary, if we want to optimize the rflights package and save its results, we can do:
docker run -e RCO_PKG=rflights -v $DEST_FOLDER:/rco_results jcrodriguez1989/rco
And in the DEST_FOLDER we will have files as:
ls $DEST_FOLDER
## rflights rflights_0.1.0.tar.gz rflights_opt
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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