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From: Joshua Landau <joshua@landau.ws>
Date: Wed, 10 Jul 2013 16:54:02 +0100
Subject: =?UTF-8?Q?Re=3A_Stack_Overflow_moderator_=E2=80=9Canimuson=E2=80=9D?=
To: "Steven D'Aprano" <steve@pearwood.info>
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On 10 July 2013 10:00, Steven D'Aprano <steve@pearwood.info> wrote:
> On Wed, 10 Jul 2013 07:55:05 +0000, Mats Peterson wrote:
>
>> A moderator who calls himself =E2=80=9Canimuson=E2=80=9D on Stack Overfl=
ow doesn=E2=80=99t want
>> to face the truth. He has deleted all my postings regarding Python
>> regular expression matching being extremely slow compared to Perl.
>
> That's by design. We don't want to make the same mistake as Perl, where
> every problem is solved by a regular expression:
>
> http://neilk.net/blog/2000/06/01/abigails-regex-to-test-for-prime-numbers=
/
>
> so we deliberately make regexes as slow as possible so that programmers
> will look for a better way to solve their problem. If you check the
> source code for the re engine, you'll find that for certain regexes, it
> busy-waits for anything up to 30 seconds at a time, deliberately wasting
> cycles.

I hate to sound like this but do you realise that this is exactly what
you're arguing for when saying that sum() shouldn't use "+=3D"?

(There is no spite in the above sentence, but it sounds like there is.
There is however no way obvious to me to remove it without changing
the sentence's meaning.)

> The same with Unicode. We hate French people,

And for good damn reason too. They're ruining our language, =C3=A1 mon avis=
.

> you see, and so in an
> effort to drive everyone back to ASCII-only text, Python 3.3 introduces
> some memory optimizations that ensures that Unicode strings work
> correctly and are up to four times smaller than they used to be. You
> should get together with jmfauth, who has discovered our dastardly plot
> and keeps posting benchmarks showing how on carefully contrived micro-
> benchmarks using a beta version of Python 3.3, non-ASCII string
> operations can be marginally slower than in 3.2.