library(npRmpi)

## Attach mode demo (session routing under mpiexec).
## Run with two ranks (master + one worker), e.g.
##   mpiexec -n 2 Rscript --no-save <script>.R
## or
##   mpiexec -n 2 R CMD BATCH --no-save <script>.R
##
## If running under mpiexec, keep profile env vars cleared for attach mode:
##   -env R_PROFILE_USER "" -env R_PROFILE ""
##
## Initialize master and slaves.
npRmpi.init(mode="attach", comm=1, autodispatch=TRUE)
options(np.messages=FALSE)

if (mpi.comm.rank(0L) == 0L) {

## Turn off progress i/o as this clutters the output file (if you want
## to see search progress you can comment out this command)
## Load your data and broadcast it to all slave nodes

library(MASS)

set.seed(42)

n <- as.integer(Sys.getenv("NP_DEMO_N", "1000"))
rho <- 0.25
mu <- c(0,0)
Sigma <- matrix(c(1,rho,rho,1),2,2)
data <- mvrnorm(n=n, mu, Sigma)
mydat <- data.frame(x=data[,2],y=data[,1])
## A conditional density estimation example. 

t <- system.time(bw <- npcdensbw(y~x,
                                               bwmethod="cv.ls",
                                               data=mydat))

summary(bw)

t <- t + system.time(model <- npcdens(bws=bw))

summary(model)

cat("Elapsed time =", t[3], "\n")

## Clean up properly then quit()

npRmpi.quit(mode="attach", comm=1)
}
## Batch/cluster attach-mode shutdown (for mpiexec workflows):
##   npRmpi.quit(mode="attach", comm=1)
## (no force=TRUE required for attach mode)
