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To: python-list@python.org
From: Dennis Lee Bieber <wlfraed@ix.netcom.com>
Subject: Re: print statements and profiling a function slowed performance
Date: Sat, 28 Jun 2014 09:41:02 -0400
Organization: IISS Elusive Unicorn
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Xref: csiph.com comp.lang.python:73704

On Fri, 27 Jun 2014 12:06:54 +1000, Chris Angelico <rosuav@gmail.com>
declaimed the following:

>
>If x is, say, range(1000000), a simple "for foo in x: pass" will
>complete fairly quickly (maybe 100ms on my computer), while the
>progress-indicated loop will take much longer (about 30 seconds when I
>tried it). Obviously you'll be doing more work than just "pass", but

	I take it those are subjective feelings of time...


C:\Users\Wulfraed\Documents>script1.py
Executed in: 0.0352086402164
Executed in: 57.0624450629

C:\Users\Wulfraed\Documents>type script1.py
import sys
import time

#   Python 2.7, Windows 7-64, Core i7-3770 3.4GHz, 12GB

x = range(1000000)

start = time.clock()
for i in x:
    pass
took = time.clock() - start
print "Executed in: %s" % (took)

start = time.clock()
for i in x:
    sys.stdout.write("%s\r" % i)
took = time.clock() - start
print "Executed in: %s" % (took)
C:\Users\Wulfraed\Documents>


	35mSec vs 57Sec

-- 
	Wulfraed                 Dennis Lee Bieber         AF6VN
    wlfraed@ix.netcom.com    HTTP://wlfraed.home.netcom.com/