R Under development (unstable) (2023-10-18 r85349 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2023 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.

> #'
> #'   Header for all (concatenated) test files
> #'
> #'   Require spatstat.geom
> #'   Obtain environment variable controlling tests.
> #'
> #'   $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $
> 
> require(spatstat.geom)
Loading required package: spatstat.geom
Loading required package: spatstat.data
spatstat.geom 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/hyperframe.R
> #
> # test "[.hyperframe" etc
> #
> #  $Revision: 1.11 $  $Date: 2023/02/03 06:17:16 $
> #
> 
> if(FULLTEST) {
+ local({
+   lambda <- runif(4, min=50, max=100)
+   X <- lapply(as.list(lambda), function(x) { runifrect(rpois(1, x)) })
+   h <- hyperframe(lambda=lambda, X=X)
+   h$lambda2 <- lambda^2
+   h[, "lambda3"] <- lambda^3
+   h[, "Y"] <- X
+   h[, "X"] <- lapply(X, flipxy)
+   h[, c("X", "Y")] <- hyperframe(X=X, Y=X)
+ 
+   names(h) <- LETTERS[1:5]
+   print(h)
+ 
+   summary(h)
+   str(h)
+   head(h)
+   tail(h)
+ 
+   rn <- rownames(h)
+   r.n <- row.names(h)
+   if(!identical(rn, r.n))
+     stop("rownames and row.names conflict for hyperframes")
+ 
+   dn <- dimnames(h)
+   dimnames(h) <- dn
+   dimnames(h)[[2]][2] <- "copacetic"
+   dimnames(h)[[1]][2] <- "second"
+ 
+   #' hyperframe with a hyperatom
+   H <- hyperframe(A=runif(3), B=1:3, D=runifrect(10))
+   H[,3]
+   H[,3,drop=TRUE]
+   #' special cases of [<-
+   H$B <- H[,1]
+   H[2:3,1] <- H[2:3,2]
+   H[2:3,1] <- H[2,2]
+   H[2,1:2] <- H[3,1:2]
+ 
+   #' split
+   f <- factor(c("a", "a", "b"))
+   G <- split(H, f)
+   G[["a"]]$B <- 42
+   split(H, f) <- G
+ 
+   #' [[ and [[<-
+   junk <- pyramidal
+   a <- junk[["group"]]
+   junk[["group"]] <- sample(a)
+   a <- junk[[2]]
+   a <- junk[[15,2]]
+   junk[[15,2]] <- "schizoaffective"
+   junk[[15,2]] <- "z" # Warning given.
+   a <- junk[[2]] # The warned-about NA appears as entry 15.
+   junk[[10,1]] <- cells
+   a <- junk[[10,1]]
+   a <- junk[[10,"Neurons"]] 
+ })
+ }
> #
> #  tests/imageops.R
> #
> #   $Revision: 1.43 $   $Date: 2023/08/29 01:03:59 $
> #
> 
> 
> if(ALWAYS) {
+   local({
+     #' Test of case 'CONNECT=24' in src/distmapbin.[ch]
+     #' Distance transform with 24-connected neighbours
+     A <- distmap(heather$coarse, connect=24)
+   })
+ }
> 
> if(FULLTEST) {
+ local({
+   #' cases of 'im' data
+   tab <- table(sample(factor(letters[1:10]), 30, replace=TRUE))
+   b <- im(tab, xrange=c(0,1), yrange=c(0,10))
+   b <- update(b)
+ 
+   mat <- matrix(sample(0:4, 12, replace=TRUE), 3, 4)
+   a <- im(mat)
+   levels(a$v) <- 0:4
+   a <- update(a)
+   
+   levels(mat) <- 0:4
+   b <- im(mat)
+   b <- update(b)
+ 
+   D <- as.im(mat, letterR)
+   df <- as.data.frame(D)
+   DD <- as.im(df, step=c(D$xstep, D$ystep))
+   
+   #' various manipulations
+   AA <- A <- as.im(owin())
+   BB <- B <- as.im(owin(c(1.1, 1.9), c(0,1)))
+   Z <- imcov(A, B)
+   stopifnot(abs(max(Z) - 0.8) < 0.1)
+ 
+   Frame(AA) <- Frame(B)
+   Frame(BB) <- Frame(A)
+   
+   ## handling images with 1 row or column
+   
+   ycov <- function(x, y) y
+   E <- as.im(ycov, owin(), dimyx = c(2,1))
+   G <- cut(E, 2)
+   H <- as.tess(G)
+ 
+   E12 <- as.im(ycov, owin(), dimyx = c(1,2))
+   G12 <- cut(E12, 2)
+   H12 <- as.tess(G12)
+ 
+   AAA <- as.array(AA)
+   EEE <- as.array(E)
+   AAD <- as.double(AA)
+   EED <- as.double(E)
+   aaa <- xtfrm(AAA)
+   eee <- xtfrm(E)
+   
+   ##
+   d <- distmap(cells, dimyx=32)
+   D6 <- (d <= 0.06)
+   Z <- connected(D6, method="interpreted")
+   Z <- connected(D6,                       connect=4)
+   Z <- connected(D6, method="interpreted", connect=4)
+ 
+   a <- where.max(d, first=FALSE)
+   a <- where.min(d, first=FALSE)
+ 
+   dx <- raster.x(d)
+   dy <- raster.y(d)
+   dxy <- raster.xy(d)
+   xyZ <- raster.xy(Z, drop=TRUE)
+ 
+   horosho <- conform.imagelist(cells, list(d, Z))
+ 
+   #' split.im
+   W <- square(1)
+   X <- as.im(function(x,y){x}, W)
+   Y <- dirichlet(runifrect(7, W))
+   Z <- split(X, as.im(Y))
+   
+   ## ...........  cases of "[.im" ........................
+   ## index window has zero overlap area with image window
+   Out <- owin(c(-0.5, 0), c(0,1))
+   oo <- X[Out]
+   oo <- X[Out, drop=FALSE]
+   if(!is.im(oo)) stop("Wrong format in [.im with disjoint index window")
+   oon <- X[Out, drop=TRUE, rescue=FALSE]
+   if(is.im(oon)) stop("Expected a vector of values, not an image, from [.im")
+   if(!all(is.na(oon))) stop("Expected a vector of NA values in [.im")
+   ## 
+   Empty <- cells[FALSE]
+   ff <- d[Empty]
+   gg <- d[2,]
+   gg <- d[,2]
+   gg <- d[j=2]
+   gg <- d[2:4, 3:5]
+   hh <- d[2:4, 3:5, rescue=TRUE]
+   if(!is.im(hh)) stop("rectangle was not rescued in [.im")
+   ## factor and NA values
+   f <- cut(d, breaks=4)
+   f <- f[f != levels(f)[1], drop=FALSE]
+   fff <- f[, , drop=FALSE]
+   fff <- f[cells]
+   fff <- f[cells, drop=FALSE]
+   fff <- f[Empty]
+   
+   ## ...........  cases of "[<-.im"  .......................
+   d[,] <- d[] + 1
+   d[Empty] <- 42
+   ## smudge() and rasterfilter()
+   dd <- smudge(d)
+ 
+   ## rgb/hsv options
+   X <- setcov(owin())
+   M <- Window(X)
+   Y <- as.im(function(x,y) x, W=M)
+   Z <- as.im(function(x,y) y, W=M)
+   # convert after rescaling
+   RGBscal <- rgbim(X, Y, Z, autoscale=TRUE, maxColorValue=1)
+   HSVscal <- hsvim(X, Y, Z, autoscale=TRUE)
+ 
+   #' cases of [.im
+   Ma <- as.mask(M, dimyx=37)
+   ZM <- Z[raster=Ma, drop=FALSE]
+   ZM[solutionset(Y+Z > 0.4)] <- NA
+   ZF <- cut(ZM, breaks=5)
+   ZL <- (ZM > 0)
+   P <- list(x=c(0.511, 0.774, 0.633, 0.248, 0.798),
+             y=c(0.791, 0.608, 0.337, 0.613, 0.819))
+   zmp <- ZM[P, drop=TRUE]
+   zfp <- ZF[P, drop=TRUE]
+   zlp <- ZL[P, drop=TRUE]
+   P <- as.ppp(P, owin())
+   zmp <- ZM[P, drop=TRUE]
+   zfp <- ZF[P, drop=TRUE]
+   zlp <- ZL[P, drop=TRUE]
+ 
+   #' miscellaneous
+   ZZ <- zapsmall.im(Z, digits=6)
+   ZZ <- zapsmall.im(Z)
+ 
+   ZS <- shift(Z, origin="centroid")
+   ZS <- shift(Z, origin="bottomleft")
+ 
+   ZA <- affine(Z, mat=diag(c(-1,-2)))
+ 
+   U <- scaletointerval(Z)
+   C <- as.im(1, W=U)
+   U <- scaletointerval(C)
+   
+   #' hist.im
+   h <- hist(Z)
+   h <- hist(Z, probability=TRUE)
+   h <- hist(Z, plot=FALSE)
+   Zcut <- cut(Z, breaks=5)
+   h <- hist(Zcut) # barplot
+   hp <- hist(Zcut, probability=TRUE) # barplot
+   plot(h) # plot.barplotdata
+ 
+   #' plot.im code blocks
+   plot(Z, ribside="left")
+   plot(Z, ribside="top")
+   plot(Z, riblab="value")
+   plot(Z, clipwin=square(0.5))
+   plot(Z - mean(Z), log=TRUE)
+   plot(Z, valuesAreColours=TRUE) # rejected with a warning
+   IX <- as.im(function(x,y) { as.integer(round(3*x)) }, square(1))
+   co <- colourmap(rainbow(4), inputs=0:3)
+   plot(IX, col=co)
+   CX <- eval.im(col2hex(IX+1L))
+   plot(CX, valuesAreColours=TRUE)
+   plot(CX, valuesAreColours=FALSE)
+ 
+   #' plot.im contour code logarithmic case
+   V0 <- setcov(owin())
+   V2 <- exp(2*V0+1)
+   plot(V2, log=TRUE, addcontour=TRUE, contourargs=list(col="white"))
+   plot(V2, log=TRUE, addcontour=TRUE, contourargs=list(col="white", nlevels=2))
+   plot(V2, log=TRUE, addcontour=TRUE, contourargs=list(col="white", nlevels=20))
+   V4 <- exp(4*V0+1)
+   plot(V4, log=TRUE, addcontour=TRUE, contourargs=list(col="white"))
+   plot(V4, log=TRUE, addcontour=TRUE, contourargs=list(col="white", nlevels=2))
+   plot(V4, log=TRUE, addcontour=TRUE, contourargs=list(col="white", nlevels=20))
+ 
+   #' pairs.im 
+   pairs(solist(Z))
+   pairs(solist(A=Z))
+   
+   #' handling and plotting of character and factor images
+   Afactor    <- as.im(col2hex("green"), letterR, na.replace=col2hex("blue"))
+   Acharacter <- as.im(col2hex("green"), letterR, na.replace=col2hex("blue"),
+                       stringsAsFactors=FALSE)
+   plot(Afactor)
+   plot(Acharacter, valuesAreColours=TRUE)
+   print(summary(Afactor))
+   print(summary(Acharacter))
+ 
+   #' substitute for runifpoint
+   rup <- function(n, W) { runifrect(n, Frame(W))[W] }
+   #' safelookup (including extrapolation case)
+   Z <- as.im(function(x,y) { x - y }, letterR)
+   Zcut <- cut(Z, breaks=4)
+   B <- grow.rectangle(Frame(letterR), 1)
+   X <- superimpose(rup(10, letterR),
+                    rup(20, setminus.owin(B, letterR)),
+                    vertices(Frame(B)),
+                    W=B)
+   a <- safelookup(Z, X)
+   aa <- safelookup(Z, X, factor=100)
+   b <- safelookup(Zcut, X)
+   bb <- safelookup(Zcut, X, factor=100)
+   cc <- lookup.im(Z, X)
+   
+   #' im.apply
+   Z <- im.apply(bei.extra, sd)
+ 
+   #' Math.imlist, Ops.imlist, Complex.imlist
+   U <- Z+2i
+   B <- U * (2+1i)
+   print(summary(B))
+   V <- solist(A=U, B=B)
+   negV <- -V
+   E <- Re(V)
+   negE <- -E
+ 
+ })
+ }
> 
> if(ALWAYS) {
+   local({
+     #' check nearest.valid.pixel
+     W <- Window(demopat)
+     set.seed(911911)
+     X <- runifrect(1000, Frame(W))[W]
+     Z <- quantess(W, function(x,y) { x }, 9)$image
+     nearest.valid.pixel(numeric(0), numeric(0), Z)
+     x <- X$x
+     y <- X$y
+     a <- nearest.valid.pixel(x, y, Z, method="interpreted")
+     b <- nearest.valid.pixel(x, y, Z, method="C")
+     if(!isTRUE(all.equal(a,b)))
+       stop("Unequal results in nearest.valid.pixel")
+       if(!identical(a,b)) 
+         stop("Equal, but not identical, results in nearest.valid.pixel")
+   })
+ }
> 
> 
> 
> proc.time()
   user  system elapsed 
   1.53    0.25    1.71