[Tutor] multiprocessing for nested function

[tax botsis]

I am trying to start multiple instances using a for statement but this is
not working. Has anyone tried affinity module?

Tax

2011/5/17 Emile van Sebille <emile at fenx.com>

> On 5/17/2011 7:29 AM tax botsis said...
>
>  Part of my code includes the following script, which both shows a
>> progress bar (for as long as 'categorize_reports()' is executed) and
>> prints the fileid and the output of the 'document' function; the latter
>> is the one increasing the calculation time (please see my comment). Any
>> ideas on how to use all the cores of my CPU here?
>>
>
> A python instance lives it life on a single processor.  Accessing multiple
> cores requires you start multiple python instances.  You'd need to
> restructure to provide some form of cooperative independent processing.
>  Pyro, stackless, and twisted come to mind.  It looks like
> the info at http://wiki.python.org/moin/ParallelProcessing is more up to
> date than my memory...
>
> Emile
>
>
>
>
>> ...
>> def categorize_reports():
>>     if __name__ == '__main__':
>>         root2 = Tkinter.Tk(className=' Processing Progress')
>>         m = Meter(root2, relief='ridge', bd=3)
>>         m.pack(fill='x')
>>         i=0.0
>>         for fileid in fileids():
>>             m.set(i, 'Processing will take a few minutes...')
>>             i=i+1.000/len(fileids())
>>             m.after(1000, lambda: _demo(m, i))
>>             print str(fileid), document(fileid) #this slows down the
>> process
>>         root2.withdraw()
>> ...
>>
>> Thanks
>> Tax
>>
>>
>>
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>
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