On 3/30/17, INADA Naoki wrote:
> Maybe, this commit make this regression.
>
> https://github.com/python/cpython/commit/4897300276d870f99459c82b937f0ac22450f0b6
>
> Old:
> minused = (so->used + other->used)*2 (L619)
>
> New:
> minused = so->used + other->used (L620)
> minused = (minused > 5)
On 3/30/2017 4:57 PM, Boylan, Ross wrote:
https://docs.python.org/3/reference/expressions.html#displays-for-lists-sets-and-dictionaries
describes the syntax for comprehensions as
comprehension ::= expression comp_for
comp_for ::= [ASYNC] "for" target_list "in" or_test [comp_iter]
comp_iter
On 2017-03-30 19:04, INADA Naoki wrote:
Maybe, this commit make this regression.
https://github.com/python/cpython/commit/4897300276d870f99459c82b937f0ac22450f0b6
Old:
minused = (so->used + other->used)*2 (L619)
New:
minused = so->used + other->used (L620)
minused = (minused > 5) ? minus
On Thursday, March 30, 2017 at 4:59:03 PM UTC-4, Boylan, Ross wrote:
> https://docs.python.org/3/reference/expressions.html#displays-for-lists-sets-and-dictionaries
> describes the syntax for comprehensions as
> comprehension ::= expression comp_for
> comp_for ::= [ASYNC] "for" target_list "
https://docs.python.org/3/reference/expressions.html#displays-for-lists-sets-and-dictionaries
describes the syntax for comprehensions as
comprehension ::= expression comp_for
comp_for ::= [ASYNC] "for" target_list "in" or_test [comp_iter]
comp_iter ::= comp_for | comp_if
comp_if :
FYI, this small patch may fix your issue:
https://gist.github.com/methane/8faf12621cdb2166019bbcee65987e99
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That's great news. I'm busy with other things right now, but will look
into your findings in more detail later.
On 03/30/2017 02:09 PM, INADA Naoki wrote:
Filed an issue: https://bugs.python.org/issue29949
Thanks for your report, Jan.
On Fri, Mar 31, 2017 at 3:04 AM, INADA Naoki wrote:
May
Filed an issue: https://bugs.python.org/issue29949
Thanks for your report, Jan.
On Fri, Mar 31, 2017 at 3:04 AM, INADA Naoki wrote:
> Maybe, this commit make this regression.
>
> https://github.com/python/cpython/commit/4897300276d870f99459c82b937f0ac22450f0b6
>
> Old:
> minused = (so->used + ot
Maybe, this commit make this regression.
https://github.com/python/cpython/commit/4897300276d870f99459c82b937f0ac22450f0b6
Old:
minused = (so->used + other->used)*2 (L619)
New:
minused = so->used + other->used (L620)
minused = (minused > 5) ? minused * 2 : minused * 4; (L293)
So size of
I reproduced the issue.
This is very usual, memory usage issue. Slashing is just a result of
large memory usage.
After 1st pass of optimization, RAM usage is 20GB+ on Python 3.5 and
30GB on Python 3.6.
And Python 3.6 starts slashing in 2nd optimization pass.
I enabled tracemalloc while 1st pass.
On 30/03/17 16:57, Mikhail V wrote:
Steve, it is not bad to want to spell your name using spelling which
was taught you in the school. But it is bad to stay in illusion that there
is something good in using accents.
*plonk*
--
Rhodri James *-* Kynesim Ltd
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On 30 March 2017 at 16:14, Steve D'Aprano wrote:
> On Thu, 30 Mar 2017 03:21 pm, Rick Johnson wrote:
>
>> On Sunday, March 26, 2017 at 2:53:49 PM UTC-5, Chris Angelico wrote:
>>> On Mon, Mar 27, 2017 at 6:25 AM, Mikhail V wrote:
>>> > On 26 March 2017 at 20:10, Steve D'Aprano
>>> > wrote:
>>> [
On 03/30/2017 08:14 AM, Steve D'Aprano wrote:
>> Why is it my responsibiliy to encode my text with
>> pronuciation tutorials? Are we adults here or what?
>
> Now you're just being absurd.
Ahh yes, good old RR with his reductio ad absurdum fallacies when he's
lost the argument.
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I have create I simple Django auth project and I need to add the user to can
upload some images. multi upload images from internet
views.py
from django.shortcuts import render
from django.http import HttpResponse
def Form(request):
return render(request, "index/form.html", {})
def Upload(req
want to create a simple image processing using Django. my tasks is easy I have
some user a simple model and that user can upload images in my project using
html form or django form and then that images saves to upload_to='mypath' in
upload from my model. but I have some questions :
I have a simp
On Fri, Mar 31, 2017 at 1:16 AM, Steve D'Aprano
wrote:
> On Fri, 31 Mar 2017 12:25 am, Mikhail V wrote:
>
>> Call me a bigot
>
> Okay. You're a bigot.
+1 QOTD
ChrisA
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On Fri, 31 Mar 2017 12:25 am, Mikhail V wrote:
> Call me a bigot
Okay. You're a bigot.
--
Steve
“Cheer up,” they said, “things could be worse.” So I cheered up, and sure
enough, things got worse.
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On Thu, 30 Mar 2017 03:21 pm, Rick Johnson wrote:
> On Sunday, March 26, 2017 at 2:53:49 PM UTC-5, Chris Angelico wrote:
>> On Mon, Mar 27, 2017 at 6:25 AM, Mikhail V wrote:
>> > On 26 March 2017 at 20:10, Steve D'Aprano
>> > wrote:
>> >> On Mon, 27 Mar 2017 03:57 am, Mikhail V wrote:
>
>> I ge
On 30 March 2017 at 07:43, Chris Angelico wrote:
> On Thu, Mar 30, 2017 at 3:21 PM, Rick Johnson
> wrote:
>> On Sunday, March 26, 2017 at 2:53:49 PM UTC-5, Chris Angelico wrote:
>>> On Mon, Mar 27, 2017 at 6:25 AM, Mikhail V wrote:
>>> > On 26 March 2017 at 20:10, Steve D'Aprano
>>> > wrote:
>
On Thu, 30 Mar 2017 04:43 pm, Marko Rauhamaa wrote:
> Steven D'Aprano :
>
>> On Thu, 30 Mar 2017 07:29:48 +0300, Marko Rauhamaa wrote:
>>> I'd expect not having to deal with Unicode decoding exceptions with
>>> arbitrary input.
>>
>> That's just silly. If you have *arbitrary* bytes, not all
>> by
On 3/29/17, Jan Gosmann wrote:
> On 28 Mar 2017, at 14:21, INADA Naoki wrote:
>
>> On Wed, Mar 29, 2017 at 12:29 AM, Jan Gosmann
>> wrote:
>>
>> I suppose smaller and faster benchmark is better to others looking for
>> it.
>> I already stopped the azure instance.
>> [...]
>> There are no maxrss d
On 3/28/17, zljubi...@gmail.com wrote:
> In dataframe
>
> import pandas as pd
>
> data = {'model': ['first', 'first', 'second', 'second', 'second', 'third',
> 'third'],
> 'dtime': ['2017-01-01_112233', '2017-01-01_112234',
> '2017-01-01_112234', '2017-01-01_112234', '2017-01-01_112234',
>
>
> Running further trials indicate that the problem actually is related to
> swapping. If I reduce the model size in the benchmark slightly so that
> everything fits into the main memory, the problem disappears. Only when the
> memory usage exceeds the 32GB that I have, Python 3.6 will acquire way
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