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:
```{bash eval=FALSE} docker pull jcrodriguez1989/rco
## Usage The docker image basic usage will optimize a random CRAN package, this is done with: ```{bash eval=FALSE} 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:
```{bash eval=FALSE} 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: ```{bash eval=FALSE} # 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:
```{bash eval=FALSE} docker run -e RCO_PKG=rflights -v $DEST_FOLDER:/rco_results jcrodriguez1989/rco
And in the `DEST_FOLDER` we will have files as: ```{bash eval=FALSE} ls $DEST_FOLDER ## rflights rflights_0.1.0.tar.gz rflights_opt
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