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High Performance Computing - Public
MPI-BugBench
Commits
aa6ee766
Commit
aa6ee766
authored
11 months ago
by
Jammer, Tim
Browse files
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refactoring: helpfulness plot to cmd_plot
parent
ee07f777
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MBB.py
+3
-213
3 additions, 213 deletions
MBB.py
with
3 additions
and
213 deletions
MBB.py
+
3
−
213
View file @
aa6ee766
...
...
@@ -665,8 +665,6 @@ def cmd_csv(rootdir, toolnames,print_to_console=False):
print
(
df_result
[[
"
CE
"
,
"
RE
"
,
"
TP
"
,
"
TN
"
,
"
FP
"
,
"
FN
"
,
"
coverage
"
,
"
conclusiveness
"
,
"
specificity
"
,
"
recall
"
,
"
precision
"
,
"
f1
"
,
"
overallaccuracy
"
]])
df_result
[[
"
CE
"
,
"
RE
"
,
"
TP
"
,
"
TN
"
,
"
FP
"
,
"
FN
"
,
"
coverage
"
,
"
conclusiveness
"
,
"
specificity
"
,
"
recall
"
,
"
precision
"
,
"
f1
"
,
"
overallaccuracy
"
]].
style
.
format
(
precision
=
2
).
to_latex
(
f
'
{
outpath
}
/
{
toolname
}
_
{
colname
}
.tex
'
)
plot_helpfulness
(
df
,
outpath
,
toolname
)
df_noise_per_tool
=
df
.
groupby
(
"
category
"
).
sum
()
df_noise_per_tool
.
loc
[
"
ALL
"
]
=
df_noise_per_tool
.
sum
(
axis
=
0
)
df_noise_per_tool
.
drop
(
"
other
"
,
axis
=
0
,
inplace
=
True
)
...
...
@@ -1657,225 +1655,17 @@ def make_radar_plot_ext(name, errors, toolname, results, ext):
plt
.
close
(
'
all
'
)
def
make_plot
(
name
,
toolnames
,
ext
,
black_list
=
[],
merge
=
False
):
res_type
=
[
"
STP
"
,
"
STN
"
,
"
CTP
"
,
"
CFP
"
,
"
SFN
"
,
"
SFP
"
,
"
CE
"
,
"
RE
"
,
"
TO
"
,
"
O
"
,
"
SE
"
]
res
=
{}
colors
=
[
# '#DEE2E6',
'
#4D5AAF
'
,
# TP
# '#CED4DA',
'
#2ca02c
'
,
# TN
# '#ADB5BD',
'
#9467bd
'
,
# CTP
# '#6C757D',
'
#ff7f0e
'
,
# CFP
# '#495057',
'
#8c564b
'
,
# FN
# '#343A40',
'
#d62728
'
,
# FP
# '#212529',
'
#4f4c4c
'
,
# SE (CE)
# '#605d5d', # RE
# '#726f6f', # TO
# '#838181' # O
]
patterns
=
[
"
\\
"
,
"
o
"
,
""
,
""
,
"
O
"
,
"
/
"
,
"
x
"
]
# Modify colors for merged version
if
merge
:
colors
=
[
# '#DEE2E6',
'
#4D5AAF
'
,
# OK
# '#ADB5BD',
'
#9467bd
'
,
# COK
# '#495057',
'
#d62728
'
,
# NOK
# '#212529',
'
#605d5d
'
,
# SE
]
patterns
=
[
"
\\
"
,
"
x
"
,
"
/
"
,
""
]
merged_res_type
=
{
"
STP
"
:
"
STP
"
if
not
merge
else
"
OK
"
,
"
STN
"
:
"
STN
"
if
not
merge
else
"
OK
"
,
"
CTP
"
:
"
CTP
"
if
not
merge
else
"
COK
"
,
"
CFP
"
:
"
CFP
"
if
not
merge
else
"
COK
"
,
"
SFN
"
:
"
SFN
"
if
not
merge
else
"
NOK
"
,
"
SFP
"
:
"
SFP
"
if
not
merge
else
"
NOK
"
,
"
SE
"
:
"
SE
"
,
"
CE
"
:
"
SE
"
,
"
RE
"
:
"
SE
"
,
"
TO
"
:
"
SE
"
,
"
O
"
:
"
SE
"
}
res_type_short
=
[
"
STP
"
,
"
STN
"
,
"
CTP
"
,
"
CFP
"
,
"
SFN
"
,
"
SFP
"
,
"
SE
"
]
if
merge
:
res_type_short
=
[
"
OK
"
,
"
COK
"
,
"
NOK
"
,
"
SE
"
]
for
tool
in
toolnames
:
res
[
tool
]
=
{}
for
r
in
res_type
:
res
[
tool
][
merged_res_type
[
r
]]
=
0
for
toolname
in
toolnames
:
results
=
categorize_all_files
(
tools
[
toolname
],
toolname
,
todo
,
args
.
logs_dir
)
# print(results)
for
r
in
results
:
id
=
merged_res_type
[
results
[
r
][
'
result
'
]]
if
possible_details
[
results
[
r
][
'
detail
'
]]
in
black_list
:
continue
res
[
toolname
][
id
]
+=
1
def
res_sort
(
toolname
):
if
not
merge
:
return
res
[
toolname
][
'
STP
'
]
+
res
[
toolname
][
'
STN
'
]
else
:
return
res
[
toolname
][
'
OK
'
]
+
res
[
toolname
][
'
COK
'
]
toolnames
.
sort
(
key
=
res_sort
,
reverse
=
True
)
fig
,
ax
=
plt
.
subplots
(
figsize
=
(
16
,
12
))
# fig, ax = plt.subplots()
x
=
np
.
arange
(
len
(
toolnames
))
# the label locations
width
=
1.0
# the width of the bars
fig
.
subplots_adjust
(
wspace
=
0.15
,
hspace
=
0.6
,
top
=
0.90
,
bottom
=
0.20
)
ax
.
set_ylabel
(
"
Number of codes
"
)
offset
=
0
prev_data
=
np
.
zeros
(
len
(
toolnames
))
ind
=
0
for
t
in
res_type_short
:
id
=
t
data
=
[]
for
toolname
in
toolnames
:
data
.
append
(
res
[
toolname
][
id
])
l
=
plt
.
bar
(
x
,
data
,
width
,
alpha
=
0.75
,
label
=
displayed_name
[
id
],
bottom
=
prev_data
,
color
=
colors
[
ind
],
hatch
=
patterns
[
ind
])
# if len(toolnames) == 1:
# ax.bar_label(l, padding=-1.5)
prev_data
+=
data
ind
+=
1
rotation
=
-
45
if
len
(
toolnames
)
>
1
else
0
plt
.
xticks
(
rotation
=
rotation
)
ax
.
set_xticks
(
x
)
ax
.
set_xticklabels
([
displayed_name
[
t
]
for
t
in
toolnames
])
min_y
,
max_y
=
ax
.
get_ybound
()
ax
.
set_ybound
([
min_y
,
max_y
*
1.05
])
fig
.
tight_layout
()
plt
.
legend
(
prop
=
{
'
size
'
:
22
})
plt
.
rcParams
.
update
({
'
font.size
'
:
22
})
plt
.
savefig
(
f
"
plots/
{
name
}
.
{
ext
}
"
)
def
cmd_plots
(
rootdir
,
toolnames
,
ext
=
"
pdf
"
):
here
=
os
.
getcwd
()
os
.
chdir
(
rootdir
)
os
.
makedirs
(
'
plots
'
,
exist_ok
=
True
)
results
=
{}
total_elapsed
=
{}
used_toolnames
=
[]
outpath
=
f
'
{
rootdir
}
/plots/
'
# select the tools for which we have some results
print
(
"
Produce the stats for:
"
,
end
=
''
)
for
toolname
in
toolnames
:
if
not
toolname
in
tools
:
raise
Exception
(
f
"
Tool
{
toolname
}
does not seem to be a valid name.
"
)
if
os
.
path
.
exists
(
f
'
{
args
.
logs_dir
}
/
{
toolname
}
'
):
used_toolnames
.
append
(
toolname
)
print
(
f
'
{
toolname
}
'
,
end
=
""
)
# To compute timing statistics
total_elapsed
[
toolname
]
=
0
print
(
"
.
"
)
# Initialize the data structure to gather all results
results
=
{
'
total
'
:
{},
'
error
'
:
{}}
timing
=
{
'
total
'
:
{},
'
error
'
:
{}}
for
error
in
error_scope
:
results
[
error
]
=
{}
timing
[
error
]
=
{}
for
toolname
in
used_toolnames
:
results
[
error
][
toolname
]
=
{
'
failure
'
:
[],
'
timeout
'
:
[],
'
unimplemented
'
:
[],
'
other
'
:
[],
'
TRUE_NEG
'
:
[],
'
TRUE_POS
'
:
[],
'
FALSE_NEG
'
:
[],
'
FALSE_POS
'
:
[]}
results
[
'
total
'
][
toolname
]
=
{
'
failure
'
:
[],
'
timeout
'
:
[],
'
unimplemented
'
:
[],
'
other
'
:
[],
'
TRUE_NEG
'
:
[],
'
TRUE_POS
'
:
[],
'
FALSE_NEG
'
:
[],
'
FALSE_POS
'
:
[],
'
error
'
:
[],
'
OK
'
:
[]}
results
[
'
error
'
][
toolname
]
=
{
'
failure
'
:
[],
'
timeout
'
:
[],
'
unimplemented
'
:
[],
'
other
'
:
[],
'
TRUE_NEG
'
:
[],
'
TRUE_POS
'
:
[],
'
FALSE_NEG
'
:
[],
'
FALSE_POS
'
:
[],
'
error
'
:
[],
'
OK
'
:
[]}
timing
[
error
][
toolname
]
=
[]
timing
[
'
total
'
][
toolname
]
=
[]
timing
[
'
error
'
][
toolname
]
=
[]
# Get all data from the caches
for
test
in
todo
:
binary
=
re
.
sub
(
'
\\
.c
'
,
''
,
os
.
path
.
basename
(
test
[
'
filename
'
]))
ID
=
test
[
'
id
'
]
test_id
=
f
"
{
binary
}
_
{
ID
}
"
expected
=
test
[
'
expect
'
]
detail
=
test
[
'
detail
'
]
for
toolname
in
used_toolnames
:
(
res_category
,
elapsed
,
diagnostic
,
outcome
)
=
categorize
(
tool
=
tools
[
toolname
],
toolname
=
toolname
,
test_id
=
test_id
,
logs_dir
=
args
.
logs_dir
,
expected
=
expected
)
# if not tools[toolname].is_correct_diagnostic(test_id, res_category, expected, detail):
# res_category = 'FALSE_NEG'
error
=
possible_details
[
test
[
'
detail
'
]]
results
[
error
][
toolname
][
res_category
].
append
(
test_id
)
results
[
'
total
'
][
toolname
][
res_category
].
append
(
test_id
)
timing
[
error
][
toolname
].
append
(
float
(
elapsed
))
timing
[
'
total
'
][
toolname
].
append
(
float
(
elapsed
))
if
expected
==
'
OK
'
:
results
[
'
total
'
][
toolname
][
'
OK
'
].
append
(
test_id
)
else
:
results
[
'
total
'
][
toolname
][
'
error
'
].
append
(
test_id
)
results
[
'
error
'
][
toolname
][
res_category
].
append
(
test_id
)
timing
[
'
error
'
][
toolname
].
append
(
float
(
elapsed
))
deter
=
[
'
AInvalidParam
'
,
'
BResLeak
'
,
'
DMatch
'
,
'
CMatch
'
,
'
BReqLifecycle
'
,
'
BEpochLifecycle
'
]
ndeter
=
[
'
DGlobalConcurrency
'
,
'
BLocalConcurrency
'
,
'
DRace
'
,
'
EBufferingHazard
'
,
'
InputHazard
'
]
# Radar plots
for
tool
in
used_toolnames
:
print
(
f
'
--- Radar plots
{
displayed_name
[
tool
]
}
'
)
make_radar_plot
(
f
'
radar_deter_
{
tool
}
'
,
deter
,
tool
,
results
,
ext
)
# make_radar_plot(f'radar_ndeter_{tool}', ndeter, tool, results, ext)
# make_radar_plot(f'radar_all_{tool}', deter + ndeter, tool, results, ext)
# make_radar_plot_ext(f'radar_all_{tool}', deter + ndeter, tool, results, ext)
# Bar plots with all tools
make_plot
(
"
cat_ext_all
"
,
used_toolnames
,
ext
)
make_plot
(
"
cat_ext_all_2
"
,
used_toolnames
,
ext
,
merge
=
True
)
# Bar plots with all tools but without determinist errors
make_plot
(
"
cat_ndeter_ext_all
"
,
used_toolnames
,
ext
,
black_list
=
deter
+
[
'
FOK
'
])
make_plot
(
"
cat_ndeter_ext_all_2
"
,
used_toolnames
,
ext
,
black_list
=
deter
+
[
'
FOK
'
],
merge
=
True
)
df
=
read_tool_reports
(
rootdir
,
toolname
)
plot_helpfulness
(
df
,
outpath
,
toolname
)
# Individual plots for each tools
# for tool in used_toolnames:
# print (f' --- Bar plots {displayed_name[tool]}')
# make_plot(f"cat_ext_{tool}", [tool], ext)
# make_plot(f"cat_ext_{tool}_2", [tool], ext, merge=True)
plt
.
close
(
'
all
'
)
os
.
chdir
(
here
)
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