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mathjs/test/benchmark/matrix_operations_python.py at develop · rpeg/mathjs · GitHub
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# install numpy
#
# sudo apt install python-pip
# pip install --user --upgrade pip
# pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose
#
import
sys
import
timeit
import
numpy
as
np
print
(
sys
.
version_info
)
# fiedler matrix 25 x 25
A
=
[
[
0
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],
[
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],
[
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[
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],
[
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,
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],
[
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15
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3
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1
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0
,
1
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,
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],
[
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,
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15
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14
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,
12
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11
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,
6
,
5
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3
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2
,
1
,
0
,
1
,
2
,
3
],
[
22
,
21
,
20
,
19
,
18
,
17
,
16
,
15
,
14
,
13
,
12
,
11
,
10
,
9
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
0
,
1
,
2
],
[
23
,
22
,
21
,
20
,
19
,
18
,
17
,
16
,
15
,
14
,
13
,
12
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11
,
10
,
9
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
0
,
1
],
[
24
,
23
,
22
,
21
,
20
,
19
,
18
,
17
,
16
,
15
,
14
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10
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9
,
8
,
7
,
6
,
5
,
4
,
3
,
2
,
1
,
0
]
]
iterations
=
10000
ms
=
1000000
def
add
():
return
np
.
add
(
A
,
A
)
def
multiply
():
return
np
.
matmul
(
A
,
A
)
def
transpose
():
return
np
.
transpose
(
A
)
def
det
():
return
np
.
linalg
.
det
(
A
)
print
(
'Add duration {} microseconds'
.
format
(
timeit
.
timeit
(
add
,
number
=
iterations
)
*
ms
/
(
iterations
)))
print
(
'Multiply duration {} microseconds'
.
format
(
timeit
.
timeit
(
multiply
,
number
=
iterations
)
*
ms
/
iterations
))
print
(
'Transpose duration {} microseconds'
.
format
(
timeit
.
timeit
(
transpose
,
number
=
iterations
)
*
ms
/
iterations
))
print
(
'Det duration {} microseconds'
.
format
(
timeit
.
timeit
(
det
,
number
=
iterations
)
*
ms
/
iterations
))
# run again with more iterations to see whether we get the same sort of durations
iterations2
=
iterations
*
10
print
(
''
)
print
(
'second round...'
)
print
(
'Add duration {} microseconds'
.
format
(
timeit
.
timeit
(
add
,
number
=
iterations2
)
*
ms
/
iterations2
))
print
(
'Multiply duration {} microseconds'
.
format
(
timeit
.
timeit
(
multiply
,
number
=
iterations2
)
*
ms
/
iterations2
))
print
(
'Transpose duration {} microseconds'
.
format
(
timeit
.
timeit
(
transpose
,
number
=
iterations2
)
*
ms
/
iterations2
))
print
(
'Det duration {} microseconds'
.
format
(
timeit
.
timeit
(
det
,
number
=
iterations2
)
*
ms
/
iterations2
))
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