Xristos Xristoou writes:
> I have three functions in the python that each one puts an image (image path)
> as input and makes a simple image processing and creates a new image (image
> path) as output.
In order to make effective use of multiprocessing, you need to split
your complete task into
them using python multiprocessing. I
have read about multiprocessing map and pool but I was pretty confused .
whenever I summarize I have three interdependent functions and I would like to
run them together if done. I would also like to know how I would perform these
three functions in a
hello
i have create a 4 function using python(f1,f2,f3,f4) and i have 4 cores in my
system.
def f1()
...
...
def f2()
...
...
def f3()
...
...
def f4()
...
.
Hello,
Greetings!
I would like to get your advice wrt following situation:
I have a Linux daemon written in python (version 2.7) using the python-daemon
(https://pypi.python.org/pypi/python-daemon) module. The objective of using
python daemon is to run as an init.d script in Linux. This gets i
On Sunday, November 23, 2014 12:56:51 PM UTC-8, Anurag wrote:
> Hey Socha,
> Your solution works. But then, all my 3 workers are running in a single
> command window. How do I make them run in three different command windows?
That, I don't know. You would probably need to open a new command wind
Hey Socha,
Your solution works. But then, all my 3 workers are running in a single command
window. How do I make them run in three different command windows?
--
https://mail.python.org/mailman/listinfo/python-list
On Thursday, November 13, 2014 3:22:49 PM UTC-8, Anurag wrote:
> On Thursday, November 13, 2014 2:18:50 PM UTC-5, sohca...@gmail.com wrote:
> > On Thursday, November 13, 2014 10:07:56 AM UTC-8, Anurag wrote:
> > > I am having trouble understanding the Multiprocessing module.
> > > I need to run thr
On Thursday, November 13, 2014 2:22:29 PM UTC-5, Gary Herron wrote:
> On 11/13/2014 10:07 AM, Anurag wrote:
> > I am having trouble understanding the Multiprocessing module.
> > I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
> > once. Currently I am doing this :
> >
>
On Thursday, November 13, 2014 2:18:50 PM UTC-5, sohca...@gmail.com wrote:
> On Thursday, November 13, 2014 10:07:56 AM UTC-8, Anurag wrote:
> > I am having trouble understanding the Multiprocessing module.
> > I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
> > once. C
On 11/13/2014 10:07 AM, Anurag wrote:
I am having trouble understanding the Multiprocessing module.
I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
once. Currently I am doing this :
from multiprocessing import Process
import Worker1.py
import Worker2.py
import Worke
On Thursday, November 13, 2014 10:07:56 AM UTC-8, Anurag wrote:
> I am having trouble understanding the Multiprocessing module.
> I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
> once. Currently I am doing this :
>
> from multiprocessing import Process
>
> import Wor
On 2014-11-13 18:10, Anurag wrote:
On Thursday, November 13, 2014 1:07:56 PM UTC-5, Anurag wrote:
I am having trouble understanding the Multiprocessing module.
I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
once. Currently I am doing this :
from multiprocessing imp
On Thursday, November 13, 2014 1:07:56 PM UTC-5, Anurag wrote:
> I am having trouble understanding the Multiprocessing module.
> I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
> once. Currently I am doing this :
>
> from multiprocessing import Process
>
> import Work
I am having trouble understanding the Multiprocessing module.
I need to run three different files 'Worker1' , 'Worker2', 'Worker3' all at
once. Currently I am doing this :
from multiprocessing import Process
import Worker1.py
import Worker2.py
import Worker3.py
p1 = Process(target=Worker1.py)
raise self._value
>>
>> The code that's failing is in self.wait. Somewhere in there you
>> must be masking an exception and storing it in self._value
>> instead of letting it propogate and crash your program. This is
>> hiding the actual context.
>
> I
On 04/24/2013 08:00 PM, Oscar Benjamin wrote:
On 25 April 2013 00:26, Dave Angel wrote:
On 04/24/2013 05:09 PM, William Ray Wing wrote:
My question is why bother with multithreading? Why not just do these as
separate processes? You said "they in no way interact with each other" and
be masking an exception and storing it in self._value
>>> instead of letting it propogate and crash your program. This is
>>> hiding the actual context.
>>>
>>> --
>>> Neil Cerutti
>>> --
>>> http://mail.python.org/mailman/listinfo/python-l
self._value
instead of letting it propogate and crash your program. This is
hiding the actual context.
--
Neil Cerutti
--
http://mail.python.org/mailman/listinfo/python-list
I'm sorry, I'm not following you. The "get" routine (and thus self.wait) is part of the
&q
On 24/04/2013 20:25, William Ray Wing wrote:
I run a bit of python code that monitors my connection to the greater Internet.
It checks connectivity to the requested target IP addresses, logging both
successes and failures, once every 15 seconds. I see failures quite regularly,
predictably on
On 24 April 2013 20:25, William Ray Wing wrote:
> I run a bit of python code that monitors my connection to the greater
> Internet. It checks connectivity to the requested target IP addresses,
> logging both successes and failures, once every 15 seconds. I see failures
> quite regularly, pred
re you
> must be masking an exception and storing it in self._value
> instead of letting it propogate and crash your program. This is
> hiding the actual context.
>
> --
> Neil Cerutti
> --
> http://mail.python.org/mailman/listinfo/python-list
I'm sorry, I'm not
On 2013-04-24, William Ray Wing wrote:
> When I look at the pool module, the error is occurring in
> get(self, timeout=None) on the line after the final else:
>
> def get(self, timeout=None):
> self.wait(timeout)
> if not self._ready:
> raise TimeoutError
>
I run a bit of python code that monitors my connection to the greater Internet.
It checks connectivity to the requested target IP addresses, logging both
successes and failures, once every 15 seconds. I see failures quite regularly,
predictably on Sunday nights after midnight when various netw
On Jan 6, 1:20 am, Steven D'Aprano wrote:
> On Tue, 05 Jan 2010 13:52:18 -0800,t0sterwrote:
> > It looks like the user don't have permission to access shared memory.
> > When executing with root privileges it works fine.
>
> > Is there any solution to run it as normal user(not root)?
>
> Then give
On Tue, 05 Jan 2010 13:52:18 -0800, t0ster wrote:
> It looks like the user don't have permission to access shared memory.
> When executing with root privileges it works fine.
>
> Is there any solution to run it as normal user(not root)?
Then give the user permission to access shared memory.
Why
Hi guys, I'm getting an error when trying to execute python program
that uses multiprocessing package:
File "/usr/local/lib/python2.6/multiprocessing/__init__.py", line
178, in RLock
return RLock()
File "/usr/local/lib/python2.6/multiprocessing/synchronize.py", line
142, in __init__
Se
I have a 2 processes:
the first process is manager.py and starts in backgroung:
from multiprocessing.managers import SyncManager, BaseProxy
from CompositeDict import *
class CompositeDictProxy(BaseProxy):
_exposed_ = ('addChild', 'setName')
def addChild(self, child):
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