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import timing
import compiler
import Numeric
import numarray.objects
import sys
import string
import re
import profile
import hotshot
import hotshot.stats
import numarray.arrayprint
numarray.arrayprint.summary_off()
params = """a=array(["1"]*10**i,typecode='O') b=array(["2"]*10**i,typecode='O') c=arange(10**i) d=array("this") e=array(range(10**i),typecode='O')
"""
benchmarks = """
array(c,typecode='O')
a.tolist()
setitem(a)
getitem(a)
a+b
a==b
a[:]=b
a[::2]
a.copy()
repr(a)
choose(arange(10**i)%2,(a,b))
sort(a)
argsort(a)
take(a,c)
# put(a,c,d) Numeric-23.0 crashes here...
add(a,b)
add.reduce(a)
add.accumulate(a)
abs(e)
"""
def setitem(a):
for i in xrange(len(a)):
a[i] = 0
def getitem(a):
for i in xrange(len(a)):
j = a[i]
def dummy(*args):
pass
MIN_TIME_RESOLUTION = 0.100
def otime(gs, ls, N):
timing.start()
for i in range(N):
pass
timing.finish()
return timing.micro()
def time(bmark, gs, ls, N=1, force_exit=0):
code = compiler.compile(bmark,"benchmarks","exec")
try:
timing.start()
for i in range(N):
exec(code, ls, gs)
timing.finish()
t = timing.micro()/10.0**6
if t > MIN_TIME_RESOLUTION or force_exit:
return t/N # (t - otime(gs, ls, N))/N
else:
return time(bmark, gs, ls, N*2)
except:
return None
def run(num, bmark, p):
locals = {}
locals["setitem"] = setitem
locals["getitem"] = getitem
for i in string.split(p," "):
exec i in num.__dict__, locals
t = time(bmark, locals, num.__dict__)
# print num.__name__, bmark, t
return t
"""
vector scalar Float32/Float32 add
add(a1,1.0)
Overhead in us [ratio] per element time (ns) [ratio]
200 [22.1] 80 [0.5]
"""
def report(line):
p0 = "i=0 " + params # 10**0 element case
p5 = "i=4 " + params # 10**5 element case
i=4
count = 10**i
bmark = line.split(" ")[0]
m0 = run(Numeric, bmark, p0)
n0 = run(numarray.objects, bmark, p0)
m5 = run(Numeric, bmark, p5)
n5 = run(numarray.objects, bmark, p5)
if m0 and m0:
ne = ((n5-n0)/count*10**9)
me = ((m5-m0)/count*10**9)
print line
print "%20s%8s%20s%8s" % ("overhead (usec)","[ratio]","per element (nsec)","[ratio]")
try:
r1 = n0/m0
except:
r1 = 0
try:
r2 = ne/me
except:
r2 = 0
print "%20d%8.1f%20d%8.1f" % (n0*count, r1, ne, r2)
elif n0:
ne = ((n5-n0)/count*10**9)
print bmark
print "%20s%8s%20s%8s" % ("overhead (usec)","[ratio]","per element (nsec)","[ratio]")
print "%20d%8s%20d%8s" % (n0*count, None, ne, None)
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, f=report):
for m in marks(pattern):
if m:
f(m)
def prof_do(mark, m, verbose=1):
pr = hotshot.Profile("prof.out", 1, 1)
# pr.calibrate(100, verbose=1)
pr.run(mark)
if verbose:
print "profile for: ", m
pr.close()
pr = hotshot.stats.load("prof.out")
pr.strip_dirs().sort_stats("time")
pr.print_stats()
def prof(m, verbose=1):
globals().update(numarray.objects.__dict__)
globals()["i"] = 4
for p in params.split():
exec p in globals()
line = m.split(" ")
mark, comment = line[0], " ".join(line[1:])
prof_do(mark, m, verbose)
def profall(pattern=None):
for m in marks(pattern):
if m:
print "-"*70
prof(m)
prof(m + " (cached)")
if __name__ == "__main__":
if len(sys.argv) == 1:
benchmark()
else:
if sys.argv[1] == "prof":
for p in sys.argv[1:]:
profall(p)
elif "times" == sys.argv[1]:
for b in sys.argv[1:]:
benchmark(b, f=case)
else:
for b in sys.argv[1:]:
benchmark(b, f=report)
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