R Under development (unstable) (2024-04-29 r86495 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> # IMPORTAT - To Run locally:
> # Make sure that when Spark/XGBoost calls 'python' directly.
> # If calling 'python3' works, but 'python' does not, consider using a link
> # service, such as 'python-is-python3' in Ubuntu. Also, make sure that when inside
> # the default 'python', 'import xgboost' can be called without issues. This
> # is due the a tracker system (called Rabbit) NEEDS a Python implementation
> # in order for it to work, regardless if you're using Scala.  The documentation
> # says that you can change it to Scala, but I did not find any example where
> # that was successful. I found that there is a way to set the "path" of a
> # local Python path, but I was not able to get it to work via sparklyr.
> # One more thing, the Rabbit code does not use any fall-back, other than 'python'
> # if the argument is not passed, this means that the spark.options that set the
> # Python path, or even the environment variables that do so as well are ignored.
> # Error you will get if the above is not setup properly:
> # java.lang.IllegalArgumentException: requirement failed: FAULT: Failed to start tracker
> 
> if (identical(Sys.getenv("CODE_COVERAGE"), "true")) {
+   library(testthat)
+   library(sparklyr)
+   library(sparkxgb)
+   test_check("sparkxgb")
+ }
> 
> proc.time()
   user  system elapsed 
   0.12    0.12    0.23