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F10510681
stats.py
Joseph Eagar (joeedh)
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Authored By
Joseph Eagar (joeedh)
Sep 20 2021, 11:27 AM
Size
2 KB
Subscribers
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stats.py
View Options
import
sys
from
math
import
*
names
=
[
'random'
,
'cluster'
,
'cluster-percent'
,
'data'
,
'data-percent'
,
'indices'
,
'indices-percent'
,
'machine memory'
]
keys
=
{}
for
i
,
k
in
enumerate
(
names
):
keys
[
k
]
=
i
random
,
cluster
,
percent
,
data
,
percent
,
indices
,
percent
,
mem
=
range
(
8
)
table
=
[
[
1.22
,
1.04
,
14.42
,
0.73
,
67
,
0.94
,
29
,
0
],
[
1.49
,
1.46
,
2.35
,
1.10
,
36
,
1.17
,
27
,
0
],
[
1.29
,
1.13
,
14
,
0.75
,
71.54
,
0.89
,
45.08
,
0
],
[
1.58
,
1.40
,
12.3
,
1.09
,
44.7
,
1.11
,
42.42
,
16
],
[
1.53
,
1.36
,
12.77
,
1.08
,
41.6
,
1.07
,
42.91
,
0
],
[
1.56
,
1.39
,
12.47
,
1.09
,
42.65
,
1.10
,
42.15
,
16
],
[
1.22
,
1.06
,
15.05
,
0.75
,
63.85
,
0.82
,
49.67
,
32
],
[
2.32
,
1.99
,
16.54
,
1.87
,
23.80
,
1.50
,
54.89
,
16
],
#5800x with 32gb and 3070
[
0.86
,
0.76
,
12.14
,
0.28
,
202.44
,
0.57
,
51.13
,
32
],
[
0.87
,
0.76
,
14.0
,
0.54
,
61.47
,
0.72
,
20.16
,
32
],
]
def
write_markdown
():
out
=
""
out
+=
"|random|cluster|
% i
mprovement|data|
%i
mprovement|indices|
%i
mprovement|memory|
\n
"
out
+=
"|"
for
i
in
range
(
8
):
out
+=
"--------|"
out
+=
"
\n
"
for
row
in
table
:
out
+=
"|"
for
item
in
row
:
out
+=
str
(
item
)
+
"|"
out
+=
"
\n
"
print
(
out
)
return
out
write_markdown
()
avgs
=
{}
var
=
{}
tot
=
{}
totsq
=
{}
median
=
{}
for
k
in
keys
:
avgs
[
k
]
=
0.0
var
[
k
]
=
0.0
tot
[
k
]
=
0.0
totsq
[
k
]
=
0.0
median
[
k
]
=
[]
for
row
in
table
:
while
len
(
row
)
<
8
:
row
.
append
(
-
1
)
for
k
in
keys
:
ki
=
keys
[
k
]
median
[
k
]
.
append
(
row
[
ki
])
avgs
[
k
]
+=
row
[
ki
]
tot
[
k
]
+=
1.0
totsq
[
k
]
+=
row
[
ki
]
**
2
maxkey
=
0
for
k
in
keys
:
maxkey
=
max
(
maxkey
,
len
(
k
))
print
(
"
\n
"
)
chunks
=
[]
for
k
in
keys
:
ki
=
keys
[
k
]
avgs
[
k
]
/=
tot
[
k
]
if
k
==
"mem"
:
continue
s
=
"["
+
k
+
"] "
while
len
(
s
)
<
maxkey
+
3
:
s
+=
" "
s
+=
" average:
%.2f
"
%
avgs
[
k
]
varsum
=
0.0
totsq
[
k
]
=
totsq
[
k
]
**
0.5
for
row
in
table
:
varsum
+=
(
row
[
ki
]
-
avgs
[
k
])
**
2
varsum
/=
tot
[
k
]
varsum
=
varsum
**
0.5
s
+=
" variange:
%.2f
"
%
varsum
median
[
k
]
.
sort
()
i2
=
len
(
median
[
k
])
>>
1
if
len
(
median
[
k
])
%
2
==
0
:
median2
=
median
[
k
][
i2
]
*
0.5
+
median
[
k
][
i2
+
1
]
*
0.5
else
:
median2
=
median
[
k
][
i2
]
s
+=
" median:
%.2f
"
%
median2
chunks
.
append
(
s
)
print
(
s
)
cols
=
3
chunks
=
[
s
.
split
(
"
\n
"
)
for
s
in
chunks
]
wid
=
0
hgt
=
0
for
lines
in
chunks
:
hgt
=
max
(
hgt
,
len
(
lines
))
for
l
in
lines
:
wid
=
max
(
wid
,
len
(
l
))
totcol
=
int
(
ceil
(
100
/
wid
))
print
(
wid
,
hgt
,
totcol
)
print
(
"
\n
total samples:"
,
len
(
table
))
lines
=
[]
for
lines2
in
chunks
:
pass
File Metadata
Details
Attached
Mime Type
text/x-python
Storage Engine
local-disk
Storage Format
Raw Data
Storage Handle
7f/e0/6e99664599f5edf711ee374a9d33
Attached To
T91329: BMesh Refactor
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