Python "compiler" is too slow for processing large data files???

Ian Holmes ianholmes01 at lycos.com
Fri Sep 6 14:10:00 CEST 2002


"Ron Horn" <rchii at lycos.com> wrote in message news:<Fpub9.22728$Ic7.1819173 at news2.west.cox.net>...
> test on my Windows 2000 machine, 1.5GHz, Pentium 4:
> 
> C:\test>python compiletest.py 8000 10 comp.py
> C:\test>timer r "python -c \"import comp\""
> 8000
> Time passed: 00:00:09.39
> 
> C:\test>python compiletest.py 8000 20 comp2.py
> C:\test>timer r "python -c \"import comp2\""
> 8000
> Time passed: 00:00:26.47

What else is your p4 running? - it seems to running a tad slow

on my celeron 500Mhz win2k 384meg py 2.2.1
runs at 15-17s for 8000x20 and python never got above 2meg (though cpu
was at 80-98% through out)

Also I imported psyco and proxied the main method which reduced the
time to ~6s

see below. psyco is available from psyco.sourceforge.net - I imagine
that if the other functions are proxied to then it may speed up some
more.


#modified with psyco and in script timing
# gen.py
# create a script to generate modules that will stress
# out the python compiler a bit?

import sys, random, time, psyco

def GenLine(numArgs, outfile):
    outfile.write("    (")
    for i in range(numArgs):
        outfile.write("%d, " % random.randint(0,1000))
    outfile.write("),\n")

def Generate(numLines, numArgs, outfile):
    outfile.write("list1 = [\n")
    for i in range(numLines):
        GenLine(numArgs, outfile)
    outfile.write("]\n")
    outfile.write("print len(list1)\n")


def main():
    outfile = None
    try:
        if len(sys.argv) != 4:
            print "Usage: gen <lines> <args> <outfile>"
            return

        numLines = int(sys.argv[1])
        numArgs = int(sys.argv[2])
        outfile = open(sys.argv[3], 'wt')

        Generate(numLines, numArgs, outfile)

    finally:
        if outfile: outfile.close()

if __name__ == "__main__":
    START_TIME = time.time()
    mainx = psyco.proxy(main)
    mainx()
    print "end",time.time() - START_TIME



More information about the Python-list mailing list