Hi all,
i made some speed tests using the sin-function and the %-operation to compare
Numeric, numpy 0.9.8 and numpy 0.9.9.2732.
As result the latest numpy version seems to be very slow in comparison to the
two other candidates.
Results (in usec per loop):
sin-array mod-array
Numeric 134 18
numpy 0.9.8 97 55
numpy 0.9.9.2732 204 316
numpy 0.9.8 + math 38
numpy 0.9.9.2732 + math 161
Numeric + math 23
The used scripts can be found at the end.
Can anyone verify my results and explain the observed speed degression?
Thanks,
Steffen
sin-scripts:
/usr/lib/python2.3/timeit.py -s "from Numeric import sin,zeros,arange;
x=zeros(10, 'd'); x[0]=0.1" "for i in arange(9): x[i+1]=sin(x[i])"
/usr/lib/python2.3/timeit.py -s "from numpy import sin,zeros,arange;
x=zeros(10, 'd'); x[0]=0.1" "for i in arange(9): x[i+1]=sin(x[i])"
/usr/lib/python2.3/timeit.py -s "from math import sin; from numpy import
zeros,arange; x=zeros(10, 'd');x[0]=0.1" "for i in arange(9):
x[i+1]=sin(x[i])"
/usr/lib/python2.3/timeit.py -s "from math import sin; from Numeric import
zeros,arange; x=zeros(10, 'd'); x[0]=0.1" "for i in arange(9):
x[i+1]=sin(x[i]
)"
%-scripts
/usr/lib/python2.3/timeit.py -s "from Numeric import zeros,arange; x=zeros(10,
'd'); x[0]=0.1" "for i in arange(9): x[i+1]=(x[i]+1.1)%(1.0)"
/usr/lib/python2.3/timeit.py -s "from numpy import zeros,arange; x=zeros(10,
'd'); x[0]=0.1" "for i in arange(9): x[i+1]=(x[i]+1.1)%(1.0)"
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