[Python-Dev] parallelizing

[Matthieu Bec]

Thank you, I'll take your advice.

Regarding your example, I think it gives the illusion to work because 
sleep() is GIL aware under the hood.

I don't think it works for process() that mainly runs bytecode, because 
of the GIL.

Sorry if I wrongly thought that was a language level discussion.

Regards,

Matthieu


On 9/13/17 10:49 AM, Chris Barker wrote:
> This really isn't the place to ask this kind of question.
>
> If you want to know how to do something with python, try python-users 
> , stack overflow, etc.
>
> If you have an idea about a new feature you think python could have, 
> then the python-ideas list is the place for that. But if you want 
> anyone to take it seriously, it should be a better formed idea before 
> you post there.
>
> But:
>
> On Tue, Sep 12, 2017 at 4:43 PM, Matthieu Bec <mdcb808 at gmail.com 
> <mailto:mdcb808 at gmail.com>> wrote:
>
>     There are times when you deal with completely independent
>     input/output 'pipes' - where parallelizing would really help speed
>     things up.
>
>     Can't there be a way to capture that idiom and multi thread it in
>     the language itself?
>
>     Example:
>
>     loop:
>
>         read an XML
>
>         produce a JSON like
>
>
> Regular old threading works fine for this:
>
> import time
> import random
> import threading
>
>
> def process(infile, outfile):
>     "fake function to simulate a process that takes a random amount of 
> time"
>     time.sleep(random.random())
>     print("processing: {} to make {}".format(infile, outfile))
>
>
> for i in range(10):
>     threading.Thread(target=process, args=("file%i.xml" % i, 
> "file%i.xml" % i)).start()
>
>
> It gets complicated if you need to pass information back and forth, or 
> worry about race conditions, or manage a queue, or ....
>
> But just running a nice self-contained thread safe function in another 
> thread is pretty straightforward.
>
> -CHB
>
>
>
> -- 
>
> Christopher Barker, Ph.D.
> Oceanographer
>
> Emergency Response Division
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