R Under development (unstable) (2023-10-20 r85374 ucrt) -- "Unsuffered Consequences"
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> #'
> #'   Header for all (concatenated) test files
> #'
> #'   Require spatstat.random
> #'   Obtain environment variable controlling tests.
> #'
> #'   $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $
> 
> require(spatstat.random)
Loading required package: spatstat.random
Loading required package: spatstat.data
Loading required package: spatstat.geom
spatstat.geom 3.2-7
spatstat.random 3.2-1
> FULLTEST <- (nchar(Sys.getenv("SPATSTAT_TEST", unset="")) > 0)
> ALWAYS   <- TRUE
> cat(paste("--------- Executing",
+           if(FULLTEST) "** ALL **" else "**RESTRICTED** subset of",
+           "test code -----------\n"))
--------- Executing **RESTRICTED** subset of test code -----------
> #'  tests/randoms.R
> #'   Further tests of random generation code
> #'  $Revision: 1.17 $ $Date: 2023/01/06 15:13:10 $
> 
> 
> local({
+   if(FULLTEST) {
+     #' cases not covered in examples
+     A <- runifdisc(6, nsim=2)
+     A <- runifpoispp(5, nsim=2)
+     A <- runifpoispp(0, nsim=2)
+     A <- rSSI(0.05, 6, nsim=2)
+     A <- rSSI(0.05, 10, win=square(c(-0.5, 1.5)), x.init=A[[1]], nsim=2)  
+     A <- rstrat(nx=4, nsim=2)
+     A <- rcell(square(1), nx=5, nsim=2)
+   }
+   if(ALWAYS) { # involves C code etc
+     A <- rthin(cells, P=0.5, nsim=2)
+     A <- rthin(cells, runif(42))
+     A <- rthin(cells[FALSE], P=0.5, nsim=2)
+   }
+   f <- function(x,y) { 10*x }
+   Z <- as.im(f, square(1))
+   if(ALWAYS) {
+     A <- rpoint(n=6, f=f, fmax=10, nsim=2)
+     A <- rpoint(n=6, f=Z, fmax=10, nsim=2)
+     A <- rpoint(n=0, f=f, fmax=10, nsim=2)
+     A <- rpoint(n=0, f=Z, fmax=10, nsim=2)
+ 
+     op <- spatstat.options(fastpois=FALSE)
+     A <- runifpoispp(5, nsim=2)
+     A <- rpoispp(Z)
+     spatstat.options(op)
+   }
+   if(FULLTEST) {
+     b3 <- box3(c(0,1))
+     b4 <- boxx(c(0,1), c(0,1), c(0,1), c(0,1))
+     b5 <- c(0, 2, 0, 2)
+     X <- rMaternInhibition(2, kappa=20, r=0.1, win=b3)
+     Y <- rMaternInhibition(2, kappa=20, r=0.1, win=b4)
+     Y <- rMaternInhibition(2, kappa=20, r=0.1, win=b5, nsim=2)
+ 
+     X <- rSSI(0.05, 6)
+     Y <- rSSI(0.05, 6, x.init=X) # no extra points
+ 
+     Z <- rlabel(finpines)
+   }
+ 
+   f1 <- function(x,y){(x^2 + y^3)/10}
+   f2 <- function(x,y){(x^3 + y^2)/10}
+   ZZ <- solist(A=as.im(f1, letterR),
+                B=as.im(f2, letterR))
+   g <- function(x,y,m){(10+as.integer(m)) * (x^2 + y^3)}
+   if(FULLTEST) {
+     XX <- rmpoispp(ZZ, nsim=3)
+     YY <- rmpoint(10, f=ZZ, nsim=3)
+     UU <- rmpoint(10, f=ZZ[[1]], types=letters[1:2])
+     VV <- rpoint.multi(10, f=g,
+                        marks=factor(sample(letters[1:3], 10, replace=TRUE)),
+                        nsim=3)
+   }
+   if(ALWAYS) { # depends on C code
+     L <- edges(letterR)
+     E <- runifpoisppOnLines(5, L)
+     G <- rpoisppOnLines(ZZ, L)
+     G2 <- rpoisppOnLines(list(A=f1, B=f2), L, lmax=max(sapply(ZZ, max)))
+   }
+ 
+   if(FULLTEST) {
+     #' cluster models + bells + whistles
+     X <- rThomas(10, 0.2, 5, saveLambda=TRUE)
+     if(is.null(attr(X, "Lambda")))
+       stop("rThomas did not save Lambda image")
+     Y <- rThomas(0, 0.2, 5, saveLambda=TRUE)
+     if(is.null(attr(Y, "Lambda")))
+       stop("rThomas did not save Lambda image when kappa=0")
+     X <- rMatClust(10, 0.05, 4, saveLambda=TRUE)
+     X <- rCauchy(30, 0.01, 5, saveLambda=TRUE)
+     X <- rVarGamma(30, 2, 5, nu=0.02, saveLambda=TRUE)
+     Z <- as.im(function(x,y){ 5 * exp(2 * x - 1) }, owin())
+     Y <- rThomas(10, 0.2, Z, saveLambda=TRUE)
+     Y <- rMatClust(10, 0.05, Z, saveLambda=TRUE)
+     Y <- rCauchy(30, 0.01, Z, saveLambda=TRUE)
+     Y <- rVarGamma(30, 2, Z, nu=0.02, saveLambda=TRUE)
+     #' inhomogeneous
+     Moo <- as.im(function(x,y) { 10 * x }, unit.square())
+     X <- rMatClust(10, 0.2, Moo)
+   }
+ 
+   if(FULLTEST) {
+     #' perfect simulation code infrastructure
+     expandwinPerfect(letterR, 2, 3)
+ 
+     #' trivial cases of random generators for ppx
+     B4 <- boxx(0:1, 0:1, 0:1, 0:1)
+     Z0 <- runifpointx(0, domain=B4, nsim=2)
+     Z1 <- runifpointx(1, domain=B4, nsim=2)
+   }
+ 
+ })
> reset.spatstat.options()
> 
> 
> 
> proc.time()
   user  system elapsed 
   1.32    0.18    1.50