rework plotting
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@ -1,38 +1,29 @@
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library("mosaic")
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library("dplyr")
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args = commandArgs(trailingOnly=TRUE)
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#myolors=c("#339933","#0066ff","#993300") # grün, balu, rot
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myolors=c("green","blue","red", "yellow", "pink", "black") # grün, balu, rot
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if (length(args)==0) {
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runtype="timedump"
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runtype="mnt/timedump"
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target="waters"
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filename_1=sprintf("%s.png",target)
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filename_2=sprintf("%s_maxline.png",target)
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filename_3=sprintf("%s_hist.png",target)
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outputpath="~/code/FRET/LibAFL/fuzzers/FRET/benchmark/"
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#MY_SELECTION <- c('state', 'afl', 'graph', 'random')
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SAVE_FILE=TRUE
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} else {
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runtype=args[1]
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target=args[2]
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filename_1=sprintf("%s.png",args[2])
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filename_2=sprintf("%s_maxline.png",args[2])
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filename_3=sprintf("%s_hist.png",args[2])
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# filename_1=args[3]
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outputpath=args[3]
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MY_SELECTION <- args[4:length(args)]
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SAVE_FILE=TRUE
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}
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library("dplyr")
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COLORS <- c("dark grey","blue", "red", "green", "magenta", "orange", "cyan", "pink", "black", "orange")
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#MY_COLORS=c("green","blue","red", "orange", "pink", "black")
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MY_COLORS <- c("green", "blue", "red", "magenta", "orange", "cyan", "pink", "black", "orange", "black")
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BENCHDIR=sprintf("~/code/FRET/LibAFL/fuzzers/FRET/benchmark/%s",runtype)
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BASENAMES=Filter(function(x) x!="",list.dirs(BENCHDIR,full.names=FALSE))
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PATTERNS=c(".*.0",
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".*.1",
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".*.2",
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".*.3",
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".*.4",
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".*.5",
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".*.6",
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".*.7",
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".*.8",
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".*.9")
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PATTERNS="%s.[0-9]*$"
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#RIBBON='sd'
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#RIBBON='span'
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RIBBON='both'
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# Trimm a list of data frames to common length
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trim_data <- function(input,len=NULL) {
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@ -42,12 +33,10 @@ trim_data <- function(input,len=NULL) {
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return(lapply(input, function(d) slice_head(d,n=len)))
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}
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length_of_data <- function(input) {
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min(sapply(input, function(v) dim(v)[1]))
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}
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# Takes a flat list
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trace2maxline <- function(tr) {
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maxline = tr
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@ -75,91 +64,92 @@ frame2maxlines <- function(tr) {
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return(tr)
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}
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maxlines2plot <- function(maxlines) {
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min_length <- min(sapply(maxlines, function(v) dim(v)[1]))
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ml_cut <- lapply(maxlines, function(v) v[1:min_length,])
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plot(seq_len(min_length),unlist(ml_cut[[1]]),"l",xlab="Index",ylab="WOET",col=COLORS[1],ylim=c(best, worst))
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for (ml in seq_len(length(maxlines))[2:length(maxlines)]) {
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lines(seq_len(min_length),unlist(ml_cut[ml]),"l",col=COLORS[ml])
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}
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lines(seq_len(min_length),rep_len(best, min_length),col="black")
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lines(seq_len(min_length),rep_len(best_success, min_length),col="black")
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lines(seq_len(min_length),rep_len(worst_trace, min_length),col="green")
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lines(seq_len(min_length),rep_len(worst, min_length),col="black")
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legend("bottomright",legend=lapply(maxlines,names),col = COLORS[1:length(maxlines)], lwd=2)
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}
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frame2plot <- function(maxlines,colors=NULL,draw_extreme=TRUE,doint=FALSE,over_name=NULL) {
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if (is.null(colors)) {
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colors <- COLORS
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}
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min_length <- dim(maxlines)[1]
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cur_worst <- worst
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if (doint) {
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cur_worst <- worst_int
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}
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plot(seq_len(min_length),unlist(maxlines[[1]]),"l",xlab="Execution",ylab="Worst observed response time",col=colors[1],ylim=c(min(best,min(maxlines)), max(cur_worst,max(maxlines))))
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for (ml in seq_len(length(maxlines))[2:length(maxlines)]) {
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lines(seq_len(min_length),unlist(maxlines[ml]),"l",col=colors[ml])
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}
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if (draw_extreme) {
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if (!doint) {
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nam <- c(names(maxlines),"worst case") #,"best case"
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col <- c(colors[1:length(maxlines)],"black") #,"black"
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ltp <- c(rep_len("solid",length(maxlines)),"longdash") # ,"longdash"
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lines(seq_len(min_length),rep_len(worst, min_length),col=col[length(maxlines)+1],lty=ltp[length(maxlines)+1])
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#nam <- c(names(maxlines),"worst trace","worst case") #,"best case"
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#col <- c(colors[1:length(maxlines)],"black","black") #,"black"
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#ltp <- c(rep_len("solid",length(maxlines)),"dotted","longdash") # ,"longdash"
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#lines(seq_len(min_length),rep_len(best, min_length),col=col[length(maxlines)+1],lty=ltp[length(maxlines)+1])
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#lines(seq_len(min_length),rep_len(best_success, min_length),col="black")
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#lines(seq_len(min_length),rep_len(worst_trace, min_length),col=col[length(maxlines)+1],lty=ltp[length(maxlines)+1])
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#lines(seq_len(min_length),rep_len(worst, min_length),col=col[length(maxlines)+2],lty=ltp[length(maxlines)+2])
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} else {
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nam <- c(names(maxlines),"worst case")
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col <- c(colors[1:length(maxlines)],"black")
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ltp <- c(rep_len("solid",length(maxlines)),"longdash")
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lines(seq_len(min_length),rep_len(worst_int, min_length),col=col[length(maxlines)+1],lty=ltp[length(maxlines)+1])
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}
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} else {
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nam <- names(maxlines)
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col <- colors[1:length(maxlines)]
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ltp <- rep_len("solid",length(maxlines))
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}
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if (is.null(over_name)) {
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legend("bottomright", legend=nam, col=col, lty=ltp)
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} else {
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legend("bottomright", legend=over_name, col=col, lty=ltp)
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}
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}
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all_maxlines = c()
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for (bn in BASENAMES) {
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runtypefiles <- list.files(file.path(BENCHDIR,bn),pattern=sprintf("%s.[0-9]$",target),full.names = TRUE)
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runtypefiles <- list.files(file.path(BENCHDIR,bn),pattern=sprintf(PATTERNS,target),full.names = TRUE)
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if (length(runtypefiles) > 0) {
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runtypetables = lapply(runtypefiles, function(x) read.table(x, quote="\"", comment.char="", col.names=c(bn)))
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runtypetables <- lapply(seq_len(length(runtypefiles)),
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function(i)read.table(runtypefiles[[i]], quote="\"", comment.char="", col.names=c(sprintf("%s%d",bn,i))))
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runtypetables = trim_data(runtypetables)
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list_of_maxlines = data2maxlines(runtypetables)
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mean_maxline<-Reduce(function(a,b) a+b,list_of_maxlines,0)/length(runtypetables)
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all_maxlines=append(all_maxlines,mean_maxline)
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tmp_frame <- Reduce(bind_cols, list_of_maxlines)
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statframe <- bind_cols(rowMeans(tmp_frame),apply(tmp_frame, 1, sd),apply(tmp_frame, 1, min),apply(tmp_frame, 1, max))
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names(statframe) <- c(bn, sprintf("%s_sd",bn), sprintf("%s_min",bn), sprintf("%s_max",bn))
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all_maxlines = c(all_maxlines, list(round(statframe)))
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#all_maxlines = append(all_maxlines, list_of_maxlines)
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#mean_maxline<-Reduce(function(a,b) a+b,list_of_maxlines,0)/length(runtypetables)
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#all_maxlines=append(all_maxlines,mean_maxline)
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}
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}
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min_length <- min(sapply(all_maxlines, length))
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all_maxlines=lapply(all_maxlines, function(v) v[1:min_length])
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min_length <- min(sapply(all_maxlines, function(x) dim(x)[1]))
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all_maxlines=lapply(all_maxlines, function(v) v[1:min_length,])
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one_frame<-data.frame(all_maxlines)
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one_frame[length(one_frame)+1] <- seq_len(length(one_frame[[1]]))
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names(one_frame)[length(one_frame)] <- 'iters'
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ylow=min(one_frame[1:length(one_frame)-1])
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yhigh=max(one_frame[1:length(one_frame)-1])
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plot(c(1,length(one_frame[[1]])),c(ylow,yhigh), col='white', xlab="iters", ylab="wcet", pch='.')
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typenames = names(one_frame)[which(names(one_frame) != 'iters')]
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typenames = typenames[which(!endsWith(typenames, "_sd"))]
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ylow=min(one_frame[typenames])
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yhigh=max(one_frame[typenames])
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plotting <- function(selection, filename, MY_COLORS_) {
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# filter out names of iters and sd cols
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typenames = names(one_frame)[which(names(one_frame) != 'iters')]
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typenames = typenames[which(!endsWith(typenames, "_sd"))]
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typenames = typenames[which(!endsWith(typenames, "_min"))]
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typenames = typenames[which(!endsWith(typenames, "_max"))]
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typenames = selection[which(selection %in% typenames)]
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if (length(typenames) == 0) {return()}
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h_ = 300
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w_ = h_*4/3
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if (SAVE_FILE) {png(file=sprintf("%s%s_%s.png",outputpath,target,filename), width=w_, height=h_)}
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par(mar=c(4,4,1,1))
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par(oma=c(0,0,0,0))
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plot(c(1,length(one_frame[[1]])),c(ylow,yhigh), col='white', xlab="Iters", ylab="WORT", pch='.')
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for (t in seq_len(length(typenames))) {
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points(one_frame[c('iters',typenames[t])], col=myolors[t], pch='.')
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proj = one_frame[seq(1, dim(one_frame)[1], by=200),]
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points(proj[c('iters',typenames[t])], col=MY_COLORS_[t], pch='.')
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if (exists("RIBBON") && RIBBON=='both') {
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points(proj[c('iters',sprintf("%s_min",typenames[t]))], col=MY_COLORS_[t], pch='.')
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points(proj[c('iters',sprintf("%s_max",typenames[t]))], col=MY_COLORS_[t], pch='.')
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}
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for (i in seq_len(dim(proj)[1])) {
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row = proj[i,]
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x_ <- row['iters'][[1]]
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y_ <- row[typenames[t]][[1]]
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sd_ <- row[sprintf("%s_sd",typenames[t])][[1]]
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min_ <- row[sprintf("%s_min",typenames[t])][[1]]
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max_ <- row[sprintf("%s_max",typenames[t])][[1]]
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if (exists("RIBBON")) {
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switch (RIBBON,
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'sd' = arrows(x_, y_-sd_, x_, y_+sd_, length=0, angle=90, code=3, col=alpha(MY_COLORS_[t], alpha=0.05)),
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'both' = arrows(x_, y_-sd_, x_, y_+sd_, length=0, angle=90, code=3, col=alpha(MY_COLORS_[t], alpha=0.1)),
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'span' = arrows(x_, min_, x_, max_, length=0, angle=90, code=3, col=alpha(MY_COLORS_[t], alpha=0.05))
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)
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}
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#arrows(x_, y_-sd_, x_, y_+sd_, length=0.05, angle=90, code=3, col=alpha(MY_COLORS[t], alpha=0.1))
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}
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}
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legend("bottomright", legend=typenames, col=MY_COLORS_, lty="solid")
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if (SAVE_FILE) {dev.off()}
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}
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par(mar=c(3.8,3.8,0,0))
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par(oma=c(0,0,0,0))
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if (exists("MY_SELECTION")) {
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plotting(MY_SELECTION, 'custom', MY_COLORS)
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} else {
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MY_SELECTION=c('state', 'afl', 'graph', 'random', 'feedlongest')
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RIBBON=''
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plotting(MY_SELECTION,'all', MY_COLORS)
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RIBBON='both'
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for (i in seq_len(length(MY_SELECTION))) {
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n <- MY_SELECTION[i]
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plotting(c(n), n, c(MY_COLORS[i]))
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}
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}
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legend("bottomright", legend=typenames, col=myolors, lty="solid")
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