plot enpoints

fuzzers/FRET/benchmark/plot_multi.r

@@ -11,8 +11,8 @@ registerDoParallel(cl)
 args = commandArgs(trailingOnly=TRUE)
 
 if (length(args)==0) {
-  runtype="timedump_253048_1873f6_full/timedump"
+  runtype="timedump_253048_1873f6_all/timedump"
-  target="watersv2"
+  target="waters"
   outputpath="~/code/FRET/LibAFL/fuzzers/FRET/benchmark/"
   #MY_SELECTION <- c('state', 'afl', 'graph', 'random')
   SAVE_FILE=TRUE
@@ -40,6 +40,7 @@ RIBBON='both'
 DRAW_WC = worst_case > 0
 LEGEND_POS="topleft"
 #LEGEND_POS="bottomright"
+CONTINUE_LINE_TO_END=TRUE
 
 # https://www.r-bloggers.com/2013/04/how-to-change-the-alpha-value-of-colours-in-r/
 alpha <- function(col, alpha=1){
@@ -108,22 +109,26 @@ trace2maxpoints <- function(tr) {
 sample_maxpoints <- function(tr,po) {
   index = 1
   collect=NULL
+  endpoint = dim(tr)[1]
   for (p in po) {
-    done = FALSE
+    if (p<=tr[1,2]) {
-    while (!done) {
+      tmp = tr[index,]
-      if (p<=tr[1,2] || (index < dim(tr)[1] && tr[index,2] <= p && p < tr[index+1,2])) {
+      tmp[2] = p
-        tmp = tr[index,]
+      collect = rbind(collect, tmp)
-        tmp[2] = p
+    } else if (p>=tr[endpoint,2]) {
-        collect = rbind(collect, tmp)
+      tmp = tr[endpoint,]
-        done = TRUE
+      tmp[2] = p
-      } else { if ( p >= tr[dim(tr)[1],2] ) {
+      collect = rbind(collect, tmp)
-        tmp = tr[dim(tr)[1],]
+    } else {
-        tmp[2] = p
+      for (i in seq(index,endpoint)-1) {
-        collect = rbind(collect, tmp)
+        if (p >= tr[i,2] && p<tr[i+1,2]) {
-        done = TRUE
+          tmp = tr[i,]
-      } else {
+          tmp[2] = p
-        index = index + 1
+          collect = rbind(collect, tmp)
-      } }
+          index = i
+          break
+        }
+      } 
     }
   }
   return(collect)
@@ -145,10 +150,25 @@ all_runtypetables <- foreach (bn=BASENAMES) %do% {
   }
 }
 all_runtypetables = all_runtypetables[lapply(all_runtypetables, length) > 0]
-all_points = sort(unique(Reduce(c, lapply(all_runtypetables, function(v) Reduce(c, lapply(v, function(w) w[[2]]))))))
+all_min_points = foreach(rtt=all_runtypetables,.combine = cbind) %do% {
-all_maxlines <- foreach (rtt=all_runtypetables) %dopar% {
   bn = substr(names(rtt[[1]])[1],1,nchar(names(rtt[[1]])[1])-1)
-  runtypetables_sampled = lapply(rtt, function(v) sample_maxpoints(v, all_points)[1])
+  ret = data.frame(min(unlist(lapply(rtt, function(v) v[dim(v)[1],2]))))
+  names(ret)[1] = bn
+  ret/(3600 * 1000)
+}
+all_max_points = foreach(rtt=all_runtypetables,.combine = cbind) %do% {
+  bn = substr(names(rtt[[1]])[1],1,nchar(names(rtt[[1]])[1])-1)
+  ret = data.frame(max(unlist(lapply(rtt, function(v) v[dim(v)[1],2]))))
+  names(ret)[1] = bn
+  ret/(3600 * 1000)
+}
+all_points = sort(unique(Reduce(c, lapply(all_runtypetables, function(v) Reduce(c, lapply(v, function(w) w[[2]]))))))
+all_maxlines <- foreach (rtt=all_runtypetables) %do% {
+  bn = substr(names(rtt[[1]])[1],1,nchar(names(rtt[[1]])[1])-1)
+  runtypetables_sampled = foreach(v=rtt) %dopar% {
+    sample_maxpoints(v, all_points)[1]
+  }
+  #runtypetables_sampled = lapply(rtt, function(v) sample_maxpoints(v, all_points)[1])
   tmp_frame <- Reduce(cbind, runtypetables_sampled)
   statframe <- data.frame(rowMeans(tmp_frame),apply(tmp_frame, 1, sd),apply(tmp_frame, 1, min),apply(tmp_frame, 1, max))
   names(statframe) <- c(bn, sprintf("%s_sd",bn), sprintf("%s_min",bn), sprintf("%s_max",bn))
@@ -167,10 +187,13 @@ yhigh=max(one_frame[typenames],worst_case)
 typenames = typenames[which(!endsWith(typenames, "_min"))]
 typenames = typenames[which(!endsWith(typenames, "_max"))]
 
-ml2lines <- function(ml) {
+ml2lines <- function(ml,lim) {
   lines = NULL
   last = 0
   for (i in seq_len(dim(ml)[1])) {
+    if (!CONTINUE_LINE_TO_END && lim<ml[i,2]) {
+      break
+    }
     lines = rbind(lines, cbind(X=last, Y=ml[i,1]))
     lines = rbind(lines, cbind(X=ml[i,2], Y=ml[i,1]))
     last = ml[i,2]
@@ -199,11 +222,11 @@ plot(c(1,max(one_frame['time'])),c(ylow,yhigh), col='white', xlab="Time [h]", yl
 for (t in seq_len(length(typenames))) {
   proj = one_frame[seq(1, dim(one_frame)[1], by=max(1, length(one_frame[[1]])/(10*w_))),]
   #points(proj[c('iters',typenames[t])], col=MY_COLORS_[t], pch='.')
-  avglines = ml2lines(one_frame[c(typenames[t],'time')])
+  avglines = ml2lines(one_frame[c(typenames[t],'time')],all_max_points[typenames[t]])
   lines(avglines, col=MY_COLORS_[t])
   if (exists("RIBBON") && ( RIBBON=='both' || RIBBON=='span')) {
-    milines = ml2lines(one_frame[c(sprintf("%s_min",typenames[t]),'time')])
+    milines = ml2lines(one_frame[c(sprintf("%s_min",typenames[t]),'time')],all_max_points[typenames[t]])
-    malines = ml2lines(one_frame[c(sprintf("%s_max",typenames[t]),'time')])
+    malines = ml2lines(one_frame[c(sprintf("%s_max",typenames[t]),'time')],all_max_points[typenames[t]])
     lines(milines, col=MY_COLORS_[t], lty='dashed')
     lines(malines, col=MY_COLORS_[t], lty='dashed')
     #points(proj[c('iters',sprintf("%s_min",typenames[t]))], col=MY_COLORS_[t], pch='.')
@@ -239,16 +262,17 @@ legend(LEGEND_POS, legend=leglines,#"topleft"
 
 if (SAVE_FILE) {dev.off()}
 }
+stopCluster(cl)
 
 par(mar=c(3.8,3.8,0,0))
 par(oma=c(0,0,0,0))
 if (exists("MY_SELECTION")) {
   plotting(MY_SELECTION, 'custom', MY_COLORS)
 } else {
-  #MY_SELECTION=c('state', 'afl', 'random', 'feedlongest', 'feedgeneration', 'feedgeneration10')
+  MY_SELECTION=c('state', 'afl', 'random', 'feedlongest', 'feedgeneration', 'feedgeneration10')
   #MY_SELECTION=c('state_int', 'afl_int', 'random_int', 'feedlongest_int', 'feedgeneration_int', 'feedgeneration10_int')
   #MY_SELECTION=c('state', 'frAFL', 'statenohash', 'feedgeneration10')
-  MY_SELECTION=c('state_int', 'frAFL_int', 'statenohash_int', 'feedgeneration10_int')
+  #MY_SELECTION=c('state_int', 'frAFL_int', 'statenohash_int', 'feedgeneration10_int')
   MY_SELECTION=typenames
   RIBBON='span'
   for (i in seq_len(length(MY_SELECTION))) {