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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 ----------- > ## badwindowcheck.R > ## $Revision: 1.3 $ $Date: 2020/04/28 12:58:26 $ > ## > > local({ + if(ALWAYS) { + ## Simple example of self-crossing polygon + x <- read.table("selfcross.txt", header=TRUE) + ## Auto-repair + w <- owin(poly=x) + + ## Real data involving various quirks + b <- read.table("badwindow.txt", header=TRUE) + b <- split(b, factor(b$i)) + b <- lapply(b, function(z) { as.list(z[,-3]) }) + ## make owin without checking + W <- owin(poly=b, check=FALSE, fix=FALSE) + ## Apply stringent checks + owinpolycheck(W,verbose=FALSE) + ## Auto-repair + W2 <- owin(poly=b) + } + }) > > > > > ## tests/closeshave.R > ## check 'closepairs/crosspairs' code > ## validity and memory allocation > ## $Revision: 1.29 $ $Date: 2022/06/06 10:09:56 $ > > ## ------- All this code must be run on every hardware ------- > local({ + r <- 0.12 + + close.all <- closepairs(redwood, r) + close.ij <- closepairs(redwood, r, what="indices") + close.ijd <- closepairs(redwood, r, what="ijd") + close.every <- closepairs(redwood, r, what="all", distinct=FALSE) + + ## test agreement + stopifnot(identical(close.ij, close.all[c("i","j")])) + stopifnot(identical(close.ijd, close.all[c("i","j","d")])) + + ## validate basic format of result + checkformat <- function(object, callstring) { + if(length(unique(lengths(object))) > 1) + stop(paste("Result of", callstring, + "contains vectors with different lengths")) + return(invisible(TRUE)) + } + checkformat(close.all, "closepairs(redwood, r)") + checkformat(close.ij, "closepairs(redwood, r, what='indices')") + checkformat(close.ijd, "closepairs(redwood, r, what='ijd')") + checkformat(close.every, + "closepairs(redwood, r, what='all', distinct=FALSE)") + + #' test memory overflow code + close.cigar <- closepairs(redwood, r, what="ijd", nsize=2) + close.cigar <- closepairs(redwood, r, what="ijd", nsize=2, periodic=TRUE) + + #' test special cases + onepoint <- redwood[1] + checkformat(closepairs(onepoint, r), + "closepairs(onepoint, r)") + checkformat(closepairs(onepoint, r, what="indices"), + "closepairs(onepoint, r, what='indices')") + checkformat(closepairs(onepoint, r, what="ijd"), + "closepairs(onepoint, r, what='ijd')") + checkformat(closepairs(onepoint, r, what="all", distinct=FALSE), + "closepairs(onepoint, r, what='all', distinct=FALSE)") + + #' .............. crosspairs .................................. + Y <- split(amacrine) + on <- Y$on + off <- Y$off + + cross.all <- crosspairs(on, off, r) + cross.ij <- crosspairs(on, off, r, what="indices") + cross.ijd <- crosspairs(on, off, r, what="ijd") + cross.every <- crosspairs(on, off, r, what="all", distinct=FALSE) + cross.period <- crosspairs(on, off, r, periodic=TRUE) + cross.exclude <- crosspairs(cells, cells[1:32], 0.1, iX=1:42, iY=1:32) + + ## validate basic format + checkformat(cross.all, "crosspairs(on, off, r)") + checkformat(cross.ij, "crosspairs(on, off, r, what='indices')") + checkformat(cross.ijd, "crosspairs(on, off, r, what='ijd')") + checkformat(cross.every, "crosspairs(on, off, r, what='all', distinct=FALSE)") + checkformat(cross.period, "crosspairs(on, off, r, periodic=TRUE)") + checkformat(cross.exclude, "crosspairs(cells, cells[], r, iX, iY)") + + ## test agreement + stopifnot(identical(cross.ij, cross.all[c("i","j")])) + stopifnot(identical(cross.ijd, cross.all[c("i","j","d")])) + + # closethresh vs closepairs: EXACT agreement + thresh <- 0.08 + clt <- closethresh(redwood, r, thresh) + cl <- with(closepairs(redwood, r), + list(i=i, j=j, th = (d <= thresh))) + if(!identical(cl, clt)) + stop("closepairs and closethresh disagree") + + reordered <- function(a) { + o <- with(a, order(i,j)) + as.list(as.data.frame(a)[o,,drop=FALSE]) + } + samesame <- function(a, b) { + identical(reordered(a), reordered(b)) + } + + ## ............................................... + #' compare with older, slower code + op <- spatstat.options(closepairs.newcode=FALSE, + closepairs.altcode=FALSE, + crosspairs.newcode=FALSE) + ## ............................................... + old.close.ij <- closepairs(redwood, r, what="indices") + old.cross.ij <- crosspairs(on, off, r, what="indices") + stopifnot(samesame(close.ij, old.close.ij)) + stopifnot(samesame(cross.ij, old.cross.ij)) + # execute only: + old.close.every <- closepairs(redwood, r, what="all", distinct=FALSE) + old.close.once <- closepairs(redwood, r, what="all", twice=FALSE) + #' test memory overflow code + old.close.cigar <- closepairs(redwood, r, what="ijd", nsize=2) + old.close.cigar <- closepairs(redwood, r, what="ijd", nsize=2, periodic=TRUE) + + ## ............................................... + spatstat.options(op) + ## ............................................... + + ## ............................................... + #' alternative code - execution only + op <- spatstat.options(closepairs.newcode=FALSE, + closepairs.altcode=TRUE) + alt.close.ij <- closepairs(redwood, r, what="indices") + alt.close.ijd <- closepairs(redwood, r, what="ijd") + alt.close.all <- closepairs(redwood, r, what="all") + #' test memory overflow code + alt.close.cigar <- closepairs(redwood, r, what="ijd", nsize=2) + alt.close.cigar <- closepairs(redwood, r, what="ijd", nsize=2, periodic=TRUE) + spatstat.options(op) + ## ............................................... + + # Rasmus' example + R <- 0.04 + U <- as.ppp(gridcenters(owin(), 50, 50), W=owin()) + cp <- crosspairs(U, U, R) + G <- matrix(0, npoints(U), npoints(U)) + G[cbind(cp$i, cp$j)] <- 1 + if(!isSymmetric(G)) + stop("crosspairs is not symmetric in Rasmus example") + + #' periodic distance + pclose <- function(X, R, method=c("raw", "C")) { + method <- match.arg(method) + switch(method, + raw = { + D <- pairdist(X, periodic=TRUE) + diag(D) <- Inf + result <- which(D <= R, arr.ind=TRUE) + }, + C = { + result <- closepairs(X, R, periodic=TRUE, what="indices") + }) + result <- as.data.frame(result) + colnames(result) <- c("i","j") + return(result) + } + #' pick a threshold value which avoids GCC bug 323 + RR <- 0.193 + A <- pclose(redwood, RR, "raw") + B <- pclose(redwood, RR, "C") + if(!samesame(A,B)) + stop("closepairs.ppp(periodic=TRUE) gives wrong answer") + + #' other functions that don't have a help file + niets <- crosspairquad(quadscheme(cells), 0.1) + + #' other code blocks + u <- closepairs(cells, 0.09, periodic=TRUE, what="all") + v <- closepairs(cells, 0.07, twice=FALSE, neat=TRUE) + #' tight cluster - guess count does not work + Xc <- runifrect(100, square(0.01)) + Window(Xc) <- square(1) + z <- closepairs(Xc, 0.02, what="indices", distinct=FALSE) + z <- closepairs(Xc, 0.02, what="ijd", distinct=FALSE) + z <- closepairs(Xc, 0.02, what="all", distinct=FALSE) + #' same task, older code + aop <- spatstat.options(closepairs.newcode=FALSE) + z <- closepairs(Xc, 0.02, what="indices", distinct=FALSE) + z <- closepairs(Xc, 0.02, what="ijd", distinct=FALSE) + z <- closepairs(Xc, 0.02, what="all", distinct=FALSE) + spatstat.options(aop) + + #' experimental + r <- 0.08 + a <- closepairs(redwood, r) + b <- tweak.closepairs(a, r, 26, 0.1, 0.1) + }) Using nsize = 2 Using nsize = 2 Using nsize = 2 Using nsize = 2 Using nsize = 2 Using nsize = 2 > > local({ + #' Three-dimensional + ## X <- runifpoint3(100) + X <- pp3(runif(100), runif(100), runif(100), box3(c(0,1))) + cl <- closepairs(X, 0.2, what="indices") + cl <- closepairs(X, 0.2, what="ijd") + cl <- closepairs(X, 0.2, distinct=FALSE) + cl <- closepairs(X, 0.2, distinct=FALSE, what="indices") + cl <- closepairs(X, 0.2, distinct=FALSE, what="ijd") + cl <- closepairs(X, 0.2, twice=FALSE, neat=TRUE) + #' Test memory overflow code + cl <- closepairs(X, 0.2, what="ijd", nsize=2) + #' trap obsolete usage + cl <- closepairs(X, 0.2, ordered=FALSE) + #' crosspairs + ## Y <- runifpoint3(100) + Y <- pp3(runif(100), runif(100), runif(100), box3(c(0,1))) + cr <- crosspairs(X, Y, 0.2, what="indices") + cr <- crosspairs(X, Y, 0.2, what="ijd") + #' Test memory overflow code + cr <- crosspairs(X, Y, 0.2, what="ijd", nsize=2) + #' experimental + rr <- 0.2 + cl <- closepairs(X, rr) + ii <- cl$i[[1]] + xl <- tweak.closepairs(cl, rr, ii, 0.05, -0.05, 0.05) + }) Using nsize = 2 Using nsize = 2 Warning message: In closepairs.pp3(X, 0.2, ordered = FALSE) : Obsolete argument 'ordered' has been replaced by 'twice' > > reset.spatstat.options() > #' > #' tests/cluck.R > #' > #' Tests of "click*" functions > #' using queueing feature of spatstatLocator > #' > #' $Revision: 1.8 $ $Date: 2022/10/23 00:45:36 $ > > local({ + #' clickppp + if(ALWAYS) { + spatstat.utils::queueSpatstatLocator(runif(5), runif(5)) + XA <- clickppp(hook=square(0.5)) + } + if(FULLTEST) { + spatstat.utils::queueSpatstatLocator(runif(6), runif(6)) + XB <- clickppp(n=3, types=c("a", "b")) + } + if(ALWAYS) { + #' clickbox + spatstat.utils::queueSpatstatLocator(runif(2), runif(2)) + BB <- clickbox() + #' clickdist + spatstat.utils::queueSpatstatLocator(runif(2), runif(2)) + dd <- clickdist() + #' clickpoly + hex <- vertices(disc(radius=0.4, centre=c(0.5, 0.5), npoly=6)) + spatstat.utils::queueSpatstatLocator(hex) + PA <- clickpoly() + } + if(FULLTEST) { + holy <- vertices(disc(radius=0.2, centre=c(0.5, 0.5), npoly=6)) + holy <- lapply(holy, rev) + spatstat.utils::queueSpatstatLocator(concatxy(hex, holy)) + PB <- clickpoly(np=2, nv=6) + } + if(ALWAYS) { + #' identify.psp + E <- edges(letterR)[c(FALSE, TRUE)] + Z <- ppp(c(2.86, 3.65, 3.15), c(1.69, 1.98, 2.56), window=Frame(letterR)) + spatstat.utils::queueSpatstatLocator(Z) + identify(E) + } + }) Ready to click.. Click two corners of a box to add points: click left mouse button in window to exit: press ESC or click middle mouse button [The last point should NOT repeat the first point] [1] 10 3 15 > ## tests/colour.R > ## > ## Colour value manipulation and colour maps > ## > ## $Revision: 1.10 $ $Date: 2022/10/23 00:37:44 $ > ## > > local({ + if(FULLTEST) { + f <- function(n) grey(seq(0,1,length=n)) + z <- to.grey(f) + + h <- colourmap(rainbow(9), range=c(0.01, 0.1)) + plot(h, labelmap=100) + } + + if(ALWAYS) { + a <- colourmap(rainbow(12), range=as.Date(c("2018-01-01", "2018-12-31"))) + print(a) + print(summary(a)) + a(as.Date("2018-06-15")) + + g <- colourmap(rainbow(4), + breaks=as.Date(c("2018-01-01", "2018-04-01", + "2018-07-01", "2018-10-01", "2018-12-31"))) + print(g) + print(summary(g)) + g(as.Date("2018-06-15")) + } + + if(FULLTEST) { + b <- colourmap(rainbow(12), inputs=month.name) + print(b) + print(summary(b)) + to.grey(b) + to.grey(b, transparent=TRUE) + plot(b, vertical=FALSE) + plot(b, vertical=TRUE) + plot(b, vertical=FALSE, gap=0) + plot(b, vertical=TRUE, gap=0) + plot(b, vertical=FALSE, xlim=c(0, 2)) + plot(b, vertical=TRUE, xlim=c(0,2)) + plot(b, vertical=FALSE, ylim=c(0, 2)) + plot(b, vertical=TRUE, ylim=c(0,2)) + + argh <- list(a="iets", e="niets", col=b, f=42) + arr <- col.args.to.grey(argh) + rrgh <- col.args.to.grey(argh, transparent=TRUE) + } + + if(ALWAYS) { + #' constant colour map + colourmap("grey", range=c(0.01, 0.1)) + colourmap("grey", range=as.Date(c("2018-01-01", "2018-12-31"))) + colourmap("grey", + breaks=as.Date(c("2018-01-01", "2018-04-01", + "2018-07-01", "2018-10-01", "2018-12-31"))) + colourmap("grey", inputs=month.name) + } + + if(FULLTEST) { + #' empty colour map + niets <- lut() + print(niets) + summary(niets) + niets <- colourmap() + print(niets) + summary(niets) + plot(niets) + } + + if(FULLTEST) { + #' interpolation - of transparent colours + co <- colourmap(inputs=c(0, 0.5, 1), + rgb(red=c(1,0,0), green=c(0,1,0), blue=c(0,0,1), + alpha=c(0.3, 0.6, 0.9))) + tco <- interp.colourmap(co) + } + }) Colour map for the range [2018-01-01, 2018-12-31] interval colour 1 [2018-01-01, 2018-01-31) #FF0000 2 [2018-01-31, 2018-03-03) #FF8000 3 [2018-03-03, 2018-04-02) #FFFF00 4 [2018-04-02, 2018-05-02) #80FF00 5 [2018-05-02, 2018-06-02) #00FF00 6 [2018-06-02, 2018-07-02) #00FF80 7 [2018-07-02, 2018-08-01) #00FFFF 8 [2018-08-01, 2018-09-01) #0080FF 9 [2018-09-01, 2018-10-01) #0000FF 10 [2018-10-01, 2018-10-31) #8000FF 11 [2018-10-31, 2018-12-01) #FF00FF 12 [2018-12-01, 2018-12-31] #FF0080 Colour map for the range [2018-01-01, 2018-12-31] interval colour 1 [2018-01-01, 2018-01-31) #FF0000 2 [2018-01-31, 2018-03-03) #FF8000 3 [2018-03-03, 2018-04-02) #FFFF00 4 [2018-04-02, 2018-05-02) #80FF00 5 [2018-05-02, 2018-06-02) #00FF00 6 [2018-06-02, 2018-07-02) #00FF80 7 [2018-07-02, 2018-08-01) #00FFFF 8 [2018-08-01, 2018-09-01) #0080FF 9 [2018-09-01, 2018-10-01) #0000FF 10 [2018-10-01, 2018-10-31) #8000FF 11 [2018-10-31, 2018-12-01) #FF00FF 12 [2018-12-01, 2018-12-31] #FF0080 Colour map for the range [2018-01-01, 2018-12-31] interval colour 1 [2018-01-01, 2018-04-01) #FF0000 2 [2018-04-01, 2018-07-01) #80FF00 3 [2018-07-01, 2018-10-01) #00FFFF 4 [2018-10-01, 2018-12-31] #8000FF Colour map for the range [2018-01-01, 2018-12-31] interval colour 1 [2018-01-01, 2018-04-01) #FF0000 2 [2018-04-01, 2018-07-01) #80FF00 3 [2018-07-01, 2018-10-01) #00FFFF 4 [2018-10-01, 2018-12-31] #8000FF > > # tests/correctC.R > # check for agreement between C and interpreted code > # for interpoint distances etc. > # $Revision: 1.8 $ $Date: 2020/12/03 03:06:04 $ > > if(ALWAYS) { # depends on hardware + local({ + eps <- .Machine$double.eps * 4 + + checkagree <- function(A, B, blurb) { + maxerr <- max(abs(A-B)) + cat("Discrepancy", maxerr, "for", blurb, fill=TRUE) + if(maxerr > eps) + stop(paste("Algorithms for", blurb, "disagree")) + return(TRUE) + } + + ## pairdist.ppp + set.seed(190901) + ## X <- rpoispp(42) + X <- runifrect(max(2, rpois(1, 42))) + dC <- pairdist(X, method="C") + dR <- pairdist(X, method="interpreted") + checkagree(dC, dR, "pairdist()") + + dCp <- pairdist(X, periodic=TRUE, method="C") + dRp <- pairdist(X, periodic=TRUE, method="interpreted") + checkagree(dCp, dRp, "pairdist(periodic=TRUE)") + + dCp2 <- pairdist(X, periodic=TRUE, squared=TRUE, method="C") + dRp2 <- pairdist(X, periodic=TRUE, squared=TRUE, method="interpreted") + checkagree(dCp2, dRp2, "pairdist(periodic=TRUE, squared=TRUE)") + + ## crossdist.ppp + ## Y <- rpoispp(42) + Y <- runifrect(max(2, rpois(1, 42))) + dC <- crossdist(X, Y, method="C") + dR <- crossdist(X, Y, method="interpreted") + checkagree(dC, dR, "crossdist()") + + dC <- crossdist(X, Y, periodic=TRUE, method="C") + dR <- crossdist(X, Y, periodic=TRUE, method="interpreted") + checkagree(dC, dR, "crossdist(periodic=TRUE)") + + dC2 <- crossdist(X, Y, periodic=TRUE, squared=TRUE, method="C") + dR2 <- crossdist(X, Y, periodic=TRUE, squared=TRUE, method="interpreted") + checkagree(dC2, dR2, "crossdist(periodic=TRUE, squared=TRUE)") + + # nndist.ppp + nnC <- nndist(X, method="C") + nnI <- nndist(X, method="interpreted") + checkagree(nnC, nnI, "nndist()") + + nn3C <- nndist(X, k=3, method="C") + nn3I <- nndist(X, k=3, method="interpreted") + checkagree(nn3C, nn3I, "nndist(k=3)") + + # nnwhich.ppp + nwC <- nnwhich(X, method="C") + nwI <- nnwhich(X, method="interpreted") + checkagree(nwC, nwI, "nnwhich()") + + nw3C <- nnwhich(X, k=3, method="C") + nw3I <- nnwhich(X, k=3, method="interpreted") + checkagree(nw3C, nw3I, "nnwhich(k=3)") + + # whist + set.seed(98123) + x <- runif(1000) + w <- sample(1:5, 1000, replace=TRUE) + b <- seq(0,1,length=101) + op <- spatstat.options(Cwhist=TRUE) + aT <- whist(x,b,w) + spatstat.options(Cwhist=FALSE) + aF <- whist(x,b,w) + if(!all(aT == aF)) + stop("Algorithms for whist disagree") + spatstat.options(op) + }) + + reset.spatstat.options() + } Discrepancy 0 for pairdist() Discrepancy 0 for pairdist(periodic=TRUE) Discrepancy 0 for pairdist(periodic=TRUE, squared=TRUE) Discrepancy 0 for crossdist() Discrepancy 5.551115e-17 for crossdist(periodic=TRUE) Discrepancy 0 for crossdist(periodic=TRUE, squared=TRUE) Discrepancy 0 for nndist() Discrepancy 0 for nndist(k=3) Discrepancy 0 for nnwhich() Discrepancy 0 for nnwhich(k=3) > > proc.time() user system elapsed 2.85 0.53 3.34