R Under development (unstable) (2024-03-20 r86162 ucrt) -- "Unsuffered Consequences"
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> #'
> #'   Header for all (concatenated) test files
> #'
> #'   Require spatstat.explore
> #'   Obtain environment variable controlling tests.
> #'
> #'   $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $
> 
> require(spatstat.explore)
Loading required package: spatstat.explore
Loading required package: spatstat.data
Loading required package: spatstat.geom
spatstat.geom 3.2-9
Loading required package: spatstat.random
spatstat.random 3.2-3
Loading required package: nlme
spatstat.explore 3.2-7
> 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/cdf.test.R
> 
> 
> local({
+   NSIM <- 9
+   op <- spatstat.options(ndummy.min=16, npixel=32)
+   AA <- split(ants, un=FALSE)
+   AC <- AA[["Cataglyphis"]]
+   AM <- AA[["Messor"]]
+   DM <- distmap(AM)
+   if(ALWAYS) {
+     ## Check cdf.test with strange data
+     ## Marked point patterns with some marks not represented
+     ## should produce a warning, rather than a crash:
+     cdf.test(AC, DM)
+   }
+   if(FULLTEST) {
+     ## should be OK:
+     cdf.test(unmark(AC), DM)
+     cdf.test(unmark(AC), DM, "cvm")
+     cdf.test(unmark(AC), DM, "ad")
+     ## other code blocks
+     cdf.test(finpines, "x")
+   }
+ })
Warning message:
In cdf.test.ppp(AC, DM) :
  Ignoring marks, because some mark values have zero frequency
> 
> 
> #'    tests/circular.R
> #'
> #'    Circular data and periodic distributions
> #'
> #'    $Revision: 1.4 $  $Date: 2020/04/28 12:58:26 $
> 
> 
> local({
+   if(ALWAYS) {
+     a <- pairorient(redwood, 0.05, 0.15, correction="none")
+     rose(a)
+   }
+   if(FULLTEST) {
+     b <- pairorient(redwood, 0.05, 0.15, correction="best")
+     rose(b, start="N", clockwise=TRUE)
+   }
+   if(ALWAYS) {
+     #' arcs on the circle 
+     #'       (depends on numerical behaviour)
+     set.seed(19171025)
+     aa <- replicate(7, runif(1, 0, 2*pi) + c(0, runif(1, 0, pi)),
+                     simplify=FALSE)
+     bb <- circunion(aa)
+ 
+     assertsingle <- function(x, a, id) {
+       y <- circunion(x)
+       if(length(y) != 1 || max(abs(y[[1]] - a)) > .Machine$double.eps)
+         stop(paste("Incorrect result from circunion in case", id),
+              call.=FALSE)
+       invisible(NULL)
+     }
+ 
+     assertsingle(list(c(pi/3, pi), c(pi/2, 3*pi/2)),
+                  c(pi/3, 3*pi/2),
+                  1)
+     assertsingle(list(c(0, pi/2), c(pi/4, pi)),
+                  c(0,pi),
+                  2)
+     assertsingle(list(c(-pi/4, pi/2), c(pi/4, pi)),
+                  c((2-1/4)*pi, pi),
+                  3)
+   }
+ })
> 
>   
> #'
> #'   tests/closecore.R
> #'
> #' check 'closepairs/crosspairs' code
> #' invoked in core package
> #'
> #' $Revision: 1.4 $ $Date: 2021/04/17 04:16:43 $
> #' 
> #' ------- All this code must be run on every hardware -------
> #'
> 
> local({
+   #' weightedclosepairs is in wtdclosepair.R
+   wi <- weightedclosepairs(redwood, 0.05, "isotropic")
+   if(FULLTEST) {
+     wt <- weightedclosepairs(redwood, 0.05, "translate")
+     wp <- weightedclosepairs(redwood, 0.05, "periodic")
+   }
+   #' markmarkscatter uses closepairs.pp3
+   X <- runifpoint3(100)
+   marks(X) <- runif(100)
+   markmarkscatter(X, 0.2)
+   if(FULLTEST) {
+     markmarkscatter(X[FALSE], 0.2)
+   }
+ })
> 
> #'
> #'     contact.R
> #'
> #'   Check machinery for first contact distributions
> #'
> #'   $Revision: 1.8 $  $Date: 2021/04/17 02:25:55 $
> 
> local({
+   if(ALWAYS) {
+     #' reduce complexity
+     Y <- as.mask(heather$coarse, dimyx=c(50, 25))
+     
+     X <- runifpoint(100, win = complement.owin(Y))
+     if(FULLTEST) G <- Gfox(X, Y)
+     J <- Jfox(X, Y)
+ 
+     Y <- as.polygonal(Y)
+     X <- runifpoint(100, win = complement.owin(Y))
+     if(FULLTEST) G <- Gfox(X, Y)
+     J <- Jfox(X, Y)
+ 
+     op <- spatstat.options(exactdt.checks.data=TRUE)
+     U <- exactdt(X)
+     spatstat.options(op)
+   }
+ })
> 
> reset.spatstat.options()
> 
> proc.time()
   user  system elapsed 
   1.42    0.09    1.50