error text seems to be part
> of the Pool implementation, which I'm not as familiar with enough to know the
> best way to handle it. (Probably something using the "initializer" and
> "initargs" arguments for Pool)(maybe)
>
>
>
> -Original Me
145
>
> -Original Message-
> From: David Raymond
> Sent: Monday, April 6, 2020 4:19 PM
> To: python-list@python.org
> Subject: RE: Multiprocessing queue sharing and python3.8
>
> Attempting reply as much for my own understanding.
>
> Are you on Mac? I think
= mp.Pool(initializer = pool_init, initargs = (mp_comm_queue,))
...
-Original Message-
From: David Raymond
Sent: Monday, April 6, 2020 4:19 PM
To: python-list@python.org
Subject: RE: Multiprocessing queue sharing and python3.8
Attempting reply as much for my own understanding.
Are you on
quot;initargs" arguments for Pool)(maybe)
-----Original Message-----
From: Python-list On
Behalf Of Israel Brewster
Sent: Monday, April 6, 2020 1:24 PM
To: Python
Subject: Multiprocessing queue sharing and python3.8
Under python 3.7 (and all previous versions I have used), the following code
Under python 3.7 (and all previous versions I have used), the following code
works properly, and produces the expected output:
import multiprocessing as mp
mp_comm_queue = None #Will be initalized in the main function
mp_comm_queue2=mp.Queue() #Test pre-initalized as well
def some_complex_funct
On Tue, 28 Mar 2017 15:38:38 -0400, Terry Reedy wrote:
> On 3/28/2017 2:51 PM, Frank Miles wrote:
>> I tried running a bit of example code from the py2.7 docs
>> (16.6.1.2. Exchanging objects between processes)
>> only to have it fail. The code is simply:
>> #
>> from multiprocessi
On 3/28/2017 2:51 PM, Frank Miles wrote:
I tried running a bit of example code from the py2.7 docs
(16.6.1.2. Exchanging objects between processes)
only to have it fail. The code is simply:
#
from multiprocessing import Process, Queue
def f(q):
q.put([42, None, 'hello'])
if
On 2017-03-28 19:51, Frank Miles wrote:
I tried running a bit of example code from the py2.7 docs
(16.6.1.2. Exchanging objects between processes)
only to have it fail. The code is simply:
#
from multiprocessing import Process, Queue
def f(q):
q.put([42, None, 'hello'])
if _
I tried running a bit of example code from the py2.7 docs
(16.6.1.2. Exchanging objects between processes)
only to have it fail. The code is simply:
#
from multiprocessing import Process, Queue
def f(q):
q.put([42, None, 'hello'])
if __name__ == '__main__':
q = Queue()
On Sat, May 9, 2015 at 12:31 AM, Michael Welle wrote:
>> As a general rule, queues need to have both ends operating
>> simultaneously, otherwise you're likely to have them blocking. In
>> theory, your code should all work with ridiculously low queue sizes;
>> the only cost will be concurrency (sin
On Fri, May 8, 2015 at 8:08 PM, Michael Welle wrote:
> Hello,
>
> what's wrong with [0]? As num_tasks gets higher proc.join() seems to
> block forever. First I thought the magical frontier is around 32k tasks,
> but then it seemed to work with 40k tasks. Now I'm stuck around 7k
> tasks. I think I
On Wed, Jan 14, 2015 at 2:16 PM, Chris Angelico wrote:
> And then you seek to run multiple workers. If my reading is correct,
> one of them (whichever one happens to get there first) will read the
> STOP marker and finish; the others will all be blocked, waiting for
> more work (which will never
On Thu, Jan 15, 2015 at 8:55 AM, wrote:
> I am trying to run a series of scripts on the Amazon cloud, multiprocessing
> on the 32 cores of our AWS instance. The scripts run well, and the queuing
> seems to work BUT, although the processes run to completion, the script below
> that runs the qu
Hello!
I searched and found posts that were similar to mine, but either I couldn't
understand the answer or the problem was different enough that the answers
weren't helpful - please excuse me if this seems to repeat a problem already
answered.
I am trying to run a series of scripts on the Ama
ocessing\queue.py",
>> line 129, in get
>> raise Empty
>> Queue.Empty
>>
>> Strangely, changing this to:
>>
>> queue = Queue()
>> queue.put('x')
>> time.sleep(0.1) # <<<
>> print queue.get_nowait()
>> Works as
cessing's Queue implementation.
Opinions?
I don't think it's a bug as such.
The purpose of the multiprocessing queue is to transfer data between
different processes, which don't have a shared address space (unlike
threads, which do).
The transfer involves passing the data betwe
Hi list,
I recently found a bug in my company's code because of a strange behavior
using multiprocessing.Queue. The following code snippet:
from multiprocessing import Queue
queue = Queue()
queue.put('x')
print queue.get_nowait()
Fails with:
...
File
"E:\Shared\dist-0902\i686.win32\processin
17 matches
Mail list logo
