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3 Commits

Author SHA1 Message Date
202b2c63d7 add shorthand for tmr benches 2023-02-22 13:18:13 +01:00
cc4c434b17 plotting: respect types 2023-02-22 09:02:14 +01:00
05d2eb691b add plotting to snakefile 2023-02-21 19:22:50 +01:00
2 changed files with 73 additions and 9 deletions

View File

@ -1,11 +1,17 @@
import csv
def_flags="--no-default-features --features std,snapshot_restore,singlecore"
rule build_showmap:
output:
directory("bins/target_showmap")
shell:
"cargo build --target-dir {output} {def_flags},systemstate"
rule build_random:
output:
directory("bins/target_random")
shell:
"cargo build --target-dir {output} {def_flags}"
"cargo build --target-dir {output} {def_flags},feed_longest"
rule build_feedlongest:
output:
@ -74,6 +80,58 @@ rule run_bench:
script="export FUZZ_RANDOM=1\n"+script
shell(script)
rule run_showmap:
input:
"build/{target}.elf",
"bins/target_showmap",
"timedump/{fuzzer}/{target}.{num}.case"
output:
"timedump/{fuzzer}/{target}.{num}.trace.ron"
run:
with open('target_symbols.csv') as csvfile:
reader = csv.DictReader(csvfile)
line = next((x for x in reader if x['kernel']==wildcards.target), None)
if line == None:
return False
kernel=line['kernel']
fuzz_main=line['main_function']
fuzz_input=line['input_symbol']
fuzz_len=line['input_size']
bkp=line['return_function']
script="""
mkdir -p $(dirname {output})
export KERNEL=$(pwd)/{input[0]}
export FUZZ_MAIN={fuzz_main}
export FUZZ_INPUT={fuzz_input}
export FUZZ_INPUT_LEN={fuzz_len}
export BREAKPOINT={bkp}
export TRACE_DUMP=$(pwd)/{output}
export FUZZER=$(pwd)/{input[1]}/debug/fret
export DO_SHOWMAP=$(pwd)/{input[2]}
set +e
../fuzzer.sh
exit 0
"""
if wildcards.fuzzer == 'random':
script="export FUZZ_RANDOM=1\n"+script
shell(script)
rule tarnsform_trace:
input:
"timedump/{fuzzer}/{target}.{num}.trace.ron"
output:
"timedump/{fuzzer}/{target}.{num}.trace.csv"
shell:
"$(pwd)/../../../../state2gantt/target/debug/state2gantt {input} > {output[0]}"
rule trace2gantt:
input:
"timedump/{fuzzer}/{target}.{num}.trace.csv"
output:
"timedump/{fuzzer}/{target}.{num}.trace.csv.png"
shell:
"Rscript --vanilla $(pwd)/../../../../state2gantt/gantt.R {input}"
rule all_bins:
input:
"bins/target_random",
@ -83,10 +141,14 @@ rule all_bins:
"bins/target_state",
"bins/target_graph"
rule all_constructed:
input:
expand("timedump/{fuzzer}/{target}.{num}", fuzzer=['random','afl','state','graph','feedlongest','feedaflnolongest'], target=['tmr'],num=range(0,10))
rule all_periodic:
input:
expand("timedump/{fuzzer}/{target}.{num}", fuzzer=['random','afl','state','graph'], target=['waters'],num=range(0,10))
rule all_compare_afl_longest:
input:
expand("timedump/{fuzzer}/{target}.{num}", fuzzer=['afl','feedlongest','feedaflnolongest'], target=['waters'],num=range(0,10))
expand("timedump/{fuzzer}/{target}.{num}", fuzzer=['afl','feedlongest','feedaflnolongest'], target=['waters'],num=range(0,10))

View File

@ -2,7 +2,7 @@ library("mosaic")
args = commandArgs(trailingOnly=TRUE)
#myolors=c("#339933","#0066ff","#993300") # grün, balu, rot
myolors=c("dark green","dark blue","dark red", "yellow") # grün, balu, rot
myolors=c("green","blue","red", "yellow", "pink", "black") # grün, balu, rot
if (length(args)==0) {
runtype="timedump"
@ -138,12 +138,14 @@ frame2plot <- function(maxlines,colors=NULL,draw_extreme=TRUE,doint=FALSE,over_n
all_maxlines = c()
for (bn in BASENAMES) {
runtypefiles <- list.files(file.path(BENCHDIR,bn),pattern="\\.[0-9]$",full.names = TRUE)
runtypetables = lapply(runtypefiles, function(x) read.table(x, quote="\"", comment.char="", col.names=c(bn)))
runtypetables = trim_data(runtypetables)
list_of_maxlines = data2maxlines(runtypetables)
mean_maxline<-Reduce(function(a,b) a+b,list_of_maxlines,0)/length(runtypetables)
all_maxlines=append(all_maxlines,mean_maxline)
runtypefiles <- list.files(file.path(BENCHDIR,bn),pattern=sprintf("%s.[0-9]$",target),full.names = TRUE)
if (length(runtypefiles) > 0) {
runtypetables = lapply(runtypefiles, function(x) read.table(x, quote="\"", comment.char="", col.names=c(bn)))
runtypetables = trim_data(runtypetables)
list_of_maxlines = data2maxlines(runtypetables)
mean_maxline<-Reduce(function(a,b) a+b,list_of_maxlines,0)/length(runtypetables)
all_maxlines=append(all_maxlines,mean_maxline)
}
}
min_length <- min(sapply(all_maxlines, length))
all_maxlines=lapply(all_maxlines, function(v) v[1:min_length])