Ting-Che Lin added the comment:
A gentle Ping to the multiprocessing lib maintainers. Is there anything else I
can do to move this forward?
--
resolution: -> remind
___
Python tracker
<https://bugs.python.org/issu
Ting-Che Lin added the comment:
So I wrote a patch for this issue and published submitted a MR. When I was
working on the patch, I realized that there is another issue related to how
string and byte array size alignment is calculated. As seen here:
https://github.com/python/cpython/blob
Change by Ting-Che Lin :
--
keywords: +patch
pull_requests: +29597
stage: -> patch review
pull_request: https://github.com/python/cpython/pull/31467
___
Python tracker
<https://bugs.python.org/issu
New submission from Ting-Che Lin :
The current implementation of ShareableList keeps an unnecessary list of
offsets in self._allocated_offsets. This list could have a large memory
footprint if the number of items in the list is high. Additionally, this list
will be copied in each process
Cheuk Ting Ho added the comment:
Thank you, Serhiy for explaining that to me. I am closing it now since it is
not a bug.
--
stage: -> resolved
status: open -> closed
___
Python tracker
<https://bugs.python.org/i
New submission from Cheuk Ting Ho :
Demo example:
===
class MyType(type):
def __init__(cls, name, bases, nmspc):
if "__annotations__" in nmspc:
annotations = nmspc["__annotations__"]
else:
nm
Cheuk Ting Ho added the comment:
I agree that for the more confusing ones, it would be better to write out the
import statement explicitly.
--
nosy: +Cheukting
___
Python tracker
<https://bugs.python.org/issue36
Justin Ting added the comment:
Actually, on further inspection, I seem to be having a slightly different
problem with the same error that I initially described now.
Even after modifying my code so that each python forked off to another process
was only given the following arguments:
args
Justin Ting added the comment:
Ah, should have picked that up, coding at 3:30am doesn't do wonders for
keeping a clear head.
Thanks Tim, I'll keep that in mind!
*Justin Ting*
*E* justingl...@gmail.com | *M* +61 424 751 665 | *L*
*https://au.linkedin.com/in/justinyting
<https://au.linkedin.
New submission from Justin Ting:
Multiprocessing is throwing this error when dealing with large amounts of data
(all floating points an integers), but none of which exceeds the number
boundaries in the error that it throws:
File "/root/anaconda3/lib/python3.5/multiprocessing/pool.py&q
We have some VM running on top of EXSi. We want to be to run some remote
arbitrary commands on the VM, anyone has experience with
https://github.com/vmware/pyvmomi? which command do i need to call?
Thanks
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https://mail.python.org/mailman/listinfo/python-list
Ya-Ting Huang added the comment:
Hi I just uploaded my patch. I add one file appendix.rst, and move every part
except 2.1 and 2.2.3 to appendix. Also I add one line under the interactive
section to advice readers see more information in appendix. Please let me know
if I should reorganize
Ya-Ting Huang added the comment:
Hi. this is my first patch. I tried to follow the instruction by David to add
Christian's notes into a new security section.
--
nosy: +yating.huang
Added file: http://bugs.python.org/file34406/hashlib.patch
On Dec 16, 11:49 am, John Gordon gor...@panix.com wrote:
I'm working with IPv6 CIDR strings, and I want to replace the longest
match of (:|$)+ with :. But when I use re.sub() it replaces
the leftmost match, even if there is a longer match later in the string.
Typically this means that
On Dec 16, 8:21 am, Brad Tilley kj4...@gmail.com wrote:
A thread locks the function on entrance and then releases it on exit.
What is the equivalent way to do this in Python?
I'm not sure if this applies in your case, but much of the time, you
can use thread local storage, rather thread
On Sep 10, 7:47 am, Peter Otten __pete...@web.de wrote:
Tigerstyle wrote:
I'm strugglin with some homework stuff and am hoping you can help me
out here.
This is the code:
small_words = ('into', 'the', 'a', 'of', 'at', 'in', 'for', 'on')
new_title = []
title_split =
On Sep 2, 9:54 am, Bart Kastermans bkast...@gmail.com wrote:
if d(a,b) == 1 and a b:
It will probably be faster if you reverse the evaluation order of that
expression.
if ab and d(a,b)==1:
That way the d() function is called less than half the time. Of course
this assumes that ab is a faster
What is the most common way to handle default function arguments that
are set at run time, rather than at compile time? The snippet below is
the current technique that I've been using, but it seems inelegant.
defaults = { 'debug' : false }
def doSomething (debug = None):
debug = debug if
On Aug 25, 10:35 am, Arnaud Delobelle arno...@gmail.com wrote:
You're close to the usual idiom:
def doSomething(debug=None):
if debug is None:
debug = defaults['debug']
...
Note the use of 'is' rather than '=='
HTH
Hmm, from what you are saying, it seems like there's no
On Aug 23, 7:59 am, smith jack thinke...@gmail.com wrote:
i have heard that function invocation in python is expensive, but make
lots of functions are a good design habit in many other languages, so
is there any principle when writing python function?
for example, how many lines should form a
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