X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/loba-papers.git/blobdiff_plain/6a2c40b9574f7d9550ccfff4a3def72d19c59f7c..f66f867710d2e58ab32016531b05ae0d9adbfc58:/loba-besteffort/data/script.r diff --git a/loba-besteffort/data/script.r b/loba-besteffort/data/script.r index ec331ea..8022f4b 100644 --- a/loba-besteffort/data/script.r +++ b/loba-besteffort/data/script.r @@ -126,83 +126,123 @@ draw2 <- function(dset = ds, idvar="Algo", timevar="Size") ## rename rows - rownames(dset.wide) <- sub("bookkeeping", "virtual", dset.wide$Algo) + names <- dset.wide$Algo + names <- sub("makhoul_plain", "a: makhoul,plain", names) + names <- sub("besteffort_plain", "b: best effort,plain", names) + names <- sub("besteffort-k2_plain", "c: best effort,k=2,plain", names) + names <- sub("besteffort-k4_plain", "d: best effort,k=4,plain", names) + names <- sub("makhoul_bookkeeping", "e: makhoul,virtual", names) + names <- sub("besteffort_bookkeeping", "f: best effort,virtual", names) + names <- sub("besteffort-k2_bookkeeping", "g: best effort,k=2,virtual", names) + names <- sub("besteffort-k4_bookkeeping", "h: best effort,k=4,virtual", names) + rownames(dset.wide) <- names #colnames(dset.wide) <- sub("^[^.]*\\.", "", colnames(dset.wide)) ## remove first column (aka "Algo") dset.mat <- as.matrix(dset.wide[-1]) + nc <- nrow(dset.mat) dset.plot <- dset.mat[, c(FALSE,FALSE,TRUE)] barplot(dset.plot, beside=TRUE, - names.arg=sub("^[^.]*\\.", "", colnames(dset.plot)), - col=rainbow(nrow(dset.mat), s=.5)) + axisnames=FALSE, +# names.arg=sub("^[^.]*\\.", "", colnames(dset.plot)), + col=gray.colors(nc) +# col=rainbow(nc, s=.5) + ) dset.plot <- dset.mat[, c(FALSE,TRUE,FALSE)] barplot(dset.plot, beside=TRUE, axes=FALSE, axisnames=FALSE, add=TRUE, legend.text=TRUE, - args.legend=list(x="topleft", inset=c(.02,0), title="Algorithms"), - col=rainbow(nrow(dset.mat))) + args.legend=list(x="topleft", inset=c(.02,0), x.intersp=0.5, title="Algorithms"), + col=gray.colors(nc) +# col=rainbow(nc) + ) dset.plot <- dset.mat[, c(TRUE,FALSE,FALSE)] barplot(dset.plot, beside=TRUE, axes=FALSE, axisnames=FALSE, add=TRUE, - col=rainbow(nrow(dset.mat), v=.5)) + col="white" +# col=gray.colors(nc) +# col=rainbow(nc, v=.5) + ) ## finally, set titles + c <- ncol(dset.plot) - 1 + for (l in 0:7) { + t <- intToUtf8(utf8ToInt("a") + l) + for (a in 1.5 + l + 9 * 0:c) + mtext(t, side=1, at=a) + } + a=5 + for (s in sub("^[^.]*\\.", "", colnames(dset.plot))) { + mtext(s, side=1, line=1.5, at=a) + a <- a + 9 + } t <- paste0(dset$Mode[1], dset$Distrib[1], " / ", dset$Ratio[1], " / ", dset$Platform[1], " / ", dset$Topo[1]) + t <- sub("hcube", "hypercube", t) title(xlab="Platform size", ylab="Simulated time (s)", main=t) } -msg <- function(text, - wait = TRUE) { - if (wait) - readline("Press to continue\n") - message(text) -} - if (FALSE) { -msg("First test, with algorithms \"plain\"...", wait = FALSE); -draw(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N") -msg("... with draw2()...") -draw2(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N") + if (TRUE) { + draw2(draw_distrib="1") + draw2(draw_distrib="N") + } else { + msg <- function(text, wait = TRUE) { + if (wait) + readline("Press to continue\n") + message(text) + } -msg("Second test, with algorithms \"bookkeeping\"..."); -draw(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N") + msg("First test, with algorithms \"plain\"...", wait = FALSE); + draw(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N") -msg("... with draw2()...") -draw2(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N") + msg("... with draw2()...") + draw2(subset(ds, grepl("[lt]_plain", Algo)), draw_distrib="N") -msg("Third test, with all algorithms..."); -draw(draw_distrib="N") + msg("Second test, with algorithms \"bookkeeping\"..."); + draw(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N") -msg("... with draw2()...") -draw2(draw_distrib="N") -} + msg("... with draw2()...") + draw2(subset(ds, grepl("[lt]_bookkeeping", Algo)), draw_distrib="N") -system("mkdir -pv graphs") -for (m in c("R", "I")) { - for (d in c("1", "N")) { - for (r in c("10:1", "1:1", "1:10")) { - for (t in c("line", "torus", "hcube")) { - for (p in c("grid", "cluster")) { - message(sprintf(">>> Drawing: %s%s / %s / %s / %s", m, d, r, p, t)) - pdf(file=sprintf("graphs/%s%s-%s-%s-%s.pdf", m, d, r, p, t)) - draw2(#subset(ds, grepl("[lt]_plain", Algo)), - draw_mode=m, draw_distrib=d, draw_ratio=r, - draw_topo=t, draw_platform=p) - dev.off() + msg("Third test, with all algorithms..."); + draw(draw_distrib="N") + + msg("... with draw2()...") + draw2(draw_distrib="N") + } + +} else { + + pdf.options(colormodel="grey") + system("mkdir -pv graphs") + for (m in c("R", "I")) { + for (d in c("1", "N")) { + for (r in c("10:1", "1:1", "1:10")) { + for (t in c("line", "torus", "hcube")) { + for (p in c("grid", "cluster")) { + message(sprintf(">>> Drawing: %s%s / %s / %s / %s", m, d, r, p, t)) + filename <- sprintf("graphs/%s%s-%s-%s-%s.pdf", m, d, r, p, t) + pdf(file=filename) + draw2(#subset(ds, grepl("[lt]_plain", Algo)), + draw_mode=m, draw_distrib=d, draw_ratio=r, + draw_topo=t, draw_platform=p) + dev.off() + embedFonts(file=filename, options="-dPDFSETTINGS=/prepress") + } } } } } -} -## restore default options -options(scipen=osp) + ## restore default options + options(scipen=osp) +}