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import compiler
import Numeric
import numarray
import numarray._numarray as _numarray
import numarray.memory as memory
import numarray._ufunc as _ufunc
import sys
import string
import re
import profile
import hotshot
import hotshot.stats
import timeit
from optparse import OptionParser
parameters = """
p=int(10.0**i); a=arange(p); j=int(10.0**(i/4.0)); b=reshape(arange(j*j),(j,j)); c=a.copy(); d=a.copy(); e=transpose(b); f=transpose(b); af=a.astype('d'); cf=a.astype('d'); z=array(0); w=array(p); t=[1]*p;
"""
param_funcs = ["arange", "array", "reshape", "transpose"]
benchmarks = """
take(a,c)
put(a,c,d)
transpose(b)
putmask(a,c%2,d)
repeat(a,2)
choose(a%2,(a,c))
ravel(b)
nonzero(a)
where(a%2,a,c)
compress(a%2,a)
diagonal(b)
trace(b)
searchsorted(a,a)
searchsorted(a,w/5)
searchsorted(a,w/2)
sort(a)
argsort(a)
argmax(b)
array(t)
array(t,typecode='i')
dot(b,b)
innerproduct(b,b)
clip(a,50,100)
indices((100,100))
swapaxes(b,0,-1)
concatenate((a,a,a))
innerproduct(b,b)
outerproduct(b[0],b[0])
resize(a,(int(2*10**i),))
a[0] # single element
b[0] # single row
b[0,0] # multi-index single element
a[1000:2000] # 1D slice
b[400:600,400:600] # 2D slice
arange(int(10.**i))
identity(int(i+2))
add(a,c)
a+c
add(a,c,d)
cos(a)
add.reduce(a)
add.reduce(b,0)
add.reduce(b,-1)
add.accumulate(a)
add.accumulate(b,0)
add.accumulate(b,1)
zeros((int(10**i),))
ones((int(10**i),))
"""
parameters = parameters.strip()
def run(benchmark, *args):
_setup = "; ".join(args)
# print _setup
t = timeit.Timer(benchmark, setup=_setup)
number = 1
repeats = 3
return (min(t.repeat(repeats,number))/number)*10.0**6
def report(line,i,show_bench):
bmark = line.split(" ")[0]
function = bmark.split("(")[0]
function = function.split(".")[0]
if function == bmark:
function = "array"
Numeric_imp = "from Numeric import " + ", ".join(param_funcs+[function])
numarray_imp = "from numarray import " + ", ".join(param_funcs+[function])
m = run(bmark, Numeric_imp, "i=%f" % i, parameters)
n = run(bmark, numarray_imp, "i=%f" % i, parameters)
if m and n:
try:
r = n/m
except:
r = 0
elif n:
r = 0
else:
raise RuntimeError("Invalid benchmark")
if not show_bench:
bmark = ""
print "%-25s%5.1f%18d%18d%18.1f" % (bmark, i, n, m, r)
def marks(pattern):
if pattern != None:
l = []
lines = string.split(benchmarks,"\n")
for i in range(len(lines)):
if re.match(pattern, lines[i]):
l.append(lines[i])
else:
l = benchmarks.split("\n")
return l
def benchmark(pattern=None, powers=[0,5]):
print "%-25s10**x%18s%18s%18s" % ("benchmark","numarray (usec)","Numeric (usec)","numarray:Numeric")
for m in marks(pattern):
if m:
if not isinstance(powers, (list,tuple)):
powers = [powers]
for p in powers:
report(m, p, show_bench=(p is powers[0]))
def prof(m, i):
print "profiling",m,"at power",i
params = parameters.split()
globals().update(numarray.__dict__)
globals().update(locals())
for p in params:
exec p in globals()
words = m.split()
mark, comment = words[0], " ".join(words[1:])
pr = hotshot.Profile("prof.out", 1, 1)
pr.run(mark)
pr.close()
pr = hotshot.stats.load("prof.out")
pr.strip_dirs().sort_stats("time")
pr.print_stats()
def profall(pattern, powers):
for m in marks(pattern):
if m:
if not isinstance(powers, (tuple,list)):
powers = [powers]
for i in powers:
print "-"*70
prof(m, i)
prof(m + " (cached)", i)
def main():
parser = OptionParser()
parser.add_option("-p", "--powers", dest="powers",
help="powers of 10 to bencmark", metavar="POWERS",
default="[0,5.0]")
(options, args) = parser.parse_args()
POWERS = eval(options.powers)
if len(args) == 0:
benchmark(powers=POWERS)
else:
if sys.argv[1] == "prof":
for b in sys.argv[1:]:
profall(b, powers=POWERS)
else:
for b in args:
benchmark(b, powers=POWERS)
if __name__ == "__main__":
main()
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