On 5/15/2015 4:59 AM, Marko Rauhamaa wrote:
Must a method lookup necessarily involve object creation?
Where is matters, inside loops, method lookup can be avoided after doing
it once.
for i in range(100): ob.meth(i)
versus
meth = ob.meth
for i in range(100): meth(i)
For working wi
On Sat, May 16, 2015 at 1:00 AM, Ian Kelly wrote:
> On Fri, May 15, 2015 at 6:43 AM, Steven D'Aprano
> wrote:
>> How much time would it save? Probably very little. After all, unless the
>> method call itself did bugger-all work, the time to create the method
>> object is probably insignificant. B
ike it is already being done:
https://hg.python.org/cpython/file/e7c7431f91b2/Objects/methodobject.c#l7
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On Fri, May 15, 2015 at 6:43 AM, Steven D'Aprano
wrote:
> How much time would it save? Probably very little. After all, unless the
> method call itself did bugger-all work, the time to create the method
> object is probably insignificant. But it's a possible optimization.
An interesting alternati
language spec is unfixable or that the CPython
implementation is unfixable?
If CPython is unfixable, you can develop a better Python implementation.
If Python itself is unfixable, what brings you here?
Marko
I forgot to mention earlier that I report all his rubbish as abuse on
google groups
ve method references.
Sure. But some implementations may have a more, um, flexible approach to
correctness, and offer more aggressive optimizations which break the letter
of Python's semantics but work for 90% of cases. Just because CPython
doesn't do so, doesn't mean that some new implem
On 15/05/2015 10:20, Marko Rauhamaa wrote:
wxjmfa...@gmail.com:
Implement unicode correctly.
Did they reject your patch?
Marko
Please don't feed him, it's been obvious for years that he hasn't the
faintest idea what he's talking about.
--
My fellow Pythonistas, ask not what our languag
On Fri, May 15, 2015 at 10:10 PM, Steven D'Aprano
wrote:
> The benefit of this is that most strings will use 1/2 or 1/4 of the memory
> that they otherwise would need, which gives an impressive memory saving.
> That leads to demonstrable speed-ups in real-world code, however it is
> possible to fi
>>
>> You can not patch something that is wrong by design.
>
> Are you saying the Python language spec is unfixable or that the CPython
> implementation is unfixable?
JMF is obsessed with a trivial and artificial performance regression in the
handling of Unicode strings since Py
Python language spec is unfixable or that the CPython
implementation is unfixable?
If CPython is unfixable, you can develop a better Python implementation.
If Python itself is unfixable, what brings you here?
Marko
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Am 14.05.15 um 20:50 schrieb Terry Reedy:
On 5/14/2015 1:11 PM, Chris Angelico wrote:
2) make test - run the entire test suite. Takes just as long every
time, but most of it won't have changed.
The test runner has an option, -jn, to run tests in n processes instead
of just 1. On my 6 core pe
Chris Angelico :
> On Fri, May 15, 2015 at 6:59 PM, Marko Rauhamaa wrote:
>> Must a method lookup necessarily involve object creation?
>
> Actually, no.
> [...]
> a particular Python implementation is most welcome to notice the
> extremely common situation of method calls and optimize it.
I'm no
On Fri, May 15, 2015 at 8:14 PM, Steven D'Aprano
wrote:
> (If anything, using an implicit boolean test will be faster than an
> explicit manual test, because it doesn't have to call the len() global.)
Even more so: Some objects may be capable of determining their own
lengths, but can ascertain th
On Fri, 15 May 2015 06:59 pm, Marko Rauhamaa wrote:
> However, in some respects, Python might be going overboard with its
> dynamism; are all those dunder methods really needed? Must "false" be
> defined so broadly? Must a method lookup necessarily involve object
> creation?
Yes, what do you mean
this work even if the "foo.bar" part is broken
out:
def return_function():
return foo.bar
def call_function():
return_function()(1, 2, 3)
But a particular Python implementation is most welcome to notice the
extremely common situation of method calls and optimize it. I'm
mplemention
would be simpler, and possibly faster. But then the
language wouldn't be Python any more.
That's the challenge; programs must still work as they did before. (But
I suppose it can be exasperating for CPython developers if 99% of
programs could be made faster but can't
wxjmfa...@gmail.com:
> Implement unicode correctly.
Did they reject your patch?
Marko
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https://mail.python.org/mailman/listinfo/python-list
Gregory Ewing :
> BartC wrote:
>> It appears to be those "<=" and "+" operations in the code above
>> where much of the time is spent. When I trace out the execution paths
>> a bit more, I'll have a better picture of how many lines of C code
>> are involved in each iteration.
>
> The path from dec
BartC wrote:
It appears to be those "<=" and "+" operations in the code above where
much of the time is spent. When I trace out the execution paths a bit
more, I'll have a better picture of how many lines of C code are
involved in each iteration.
The path from decoding a bytecode to the C cod
On 14/05/2015 22:55, BartC wrote:
> def whiletest():
> i=0
> while i<=1:
> i=i+1
>
> whiletest()
>
Python 2.5 9.2 seconds
Python 3.1 13.1
Python 3.4.317.0
Python 3.4.314.3 (under Ubuntu on same machine, using the version
I buil
On 2015-05-14 22:55, BartC wrote:
On 14/05/2015 17:29, Marko Rauhamaa wrote:
BartC :
That's a shame because I wanted to tinker with the main dispatcher
loop to try and find out what exactly is making it slow. Nothing that
seems obvious at first sight.
My guess is the main culprit is attribut
On 14/05/2015 17:29, Marko Rauhamaa wrote:
BartC :
That's a shame because I wanted to tinker with the main dispatcher
loop to try and find out what exactly is making it slow. Nothing that
seems obvious at first sight.
My guess is the main culprit is attribute lookup in two ways:
* Each obj
On 5/14/2015 1:11 PM, Chris Angelico wrote:
2) make test - run the entire test suite. Takes just as long every
time, but most of it won't have changed.
The test runner has an option, -jn, to run tests in n processes instead
of just 1. On my 6 core pentium, -j5 cuts time to almost exactly 1/5
On Fri, May 15, 2015 at 3:32 AM, BartC wrote:
> OK, thanks. I didn't even know where the executable was put! Now I don't
> need 'make install', while 'make test' I won't bother with any more.
>
> Making a small change and typing 'make' took 5 seconds, which is reasonable
> enough (although I had t
On 14/05/2015 18:11, Chris Angelico wrote:
On Fri, May 15, 2015 at 3:02 AM, BartC wrote:
I hope there's a quicker way of re-building an executable after a minor
source file change, otherwise doing any sort of development is going to be
impractical.)
The whole point of 'make' is to rebuild o
On Fri, May 15, 2015 at 3:02 AM, BartC wrote:
> Actually I had VirtualBox with Ubuntu, but I don't know my way around Linux
> and preferred doing things under Windows (and with all my own tools).
>
> But it's now building under Ubuntu.
>
> (Well, I'm not sure what it's doing exactly; the instructi
On 05/14/2015 01:02 PM, BartC wrote:
On 14/05/2015 17:09, Chris Angelico wrote:
On Fri, May 15, 2015 at 1:51 AM, BartC wrote:
OK, the answer seems to be No then - you can't just trivially compile
the C
modules that comprise the sources with the nearest compiler to hand.
So much
for C's famous
On 14/05/2015 17:09, Chris Angelico wrote:
On Fri, May 15, 2015 at 1:51 AM, BartC wrote:
OK, the answer seems to be No then - you can't just trivially compile the C
modules that comprise the sources with the nearest compiler to hand. So much
for C's famous portability!
(Actually, I think you a
BartC :
> That's a shame because I wanted to tinker with the main dispatcher
> loop to try and find out what exactly is making it slow. Nothing that
> seems obvious at first sight.
My guess is the main culprit is attribute lookup in two ways:
* Each object attribute reference involves a diction
tform to platform, plus a (relatively) tiny
section of platform-specific code, such as makefiles/project files,
linker definitions, and so on. When you start hacking on CPython, you
don't generally have to consider which platform you're aiming at, as
long as you're building on one of the
On 13/05/2015 23:34, Terry Reedy wrote:
On 5/13/2015 3:36 PM, BartC wrote:
I'm interested in playing with the CPython sources. I need to be able to
build under Windows, but don't want to use make files (which rarely work
properly), nor do a 6GB installation of Visual Studio Expres
On 5/13/2015 3:36 PM, BartC wrote:
I'm interested in playing with the CPython sources. I need to be able to
build under Windows, but don't want to use make files (which rarely work
properly), nor do a 6GB installation of Visual Studio Express which is
what seems to be needed (I'
On 13/05/2015 20:36, BartC wrote:
I'm interested in playing with the CPython sources. I need to be able to
build under Windows, but don't want to use make files (which rarely work
properly), nor do a 6GB installation of Visual Studio Express which is
what seems to be needed (I'
I'm interested in playing with the CPython sources. I need to be able to
build under Windows, but don't want to use make files (which rarely work
properly), nor do a 6GB installation of Visual Studio Express which is
what seems to be needed (I'm hopeless with complicated IDEs a
Attempting to connect to Hadoop-based SQL layers, which are [practically] all
written in JVM languages.
Sure, I can use something like JayDeBeApi, but I would prefer proper object
mapping.
How would I go about interfacing with e.g.: SQL Alchemy or peewee-orm?
Thanks for all suggestions
--
htt
x27;t currently work under pypy. With this tool I could
still take advantage of pypy JIT, but use CPython for other stuff.
--- SoupGate-Win32 v1.05
* Origin: nntp.gatew...@.piz.noip.me> (1:249/999)
--- Synchronet 3.15b-Win32 NewsLink 1.92
SpaceSST BBS Usenet <> Fidonet Gateway
--
https:/
To: python-list
On 7 December 2014 at 14:31, Albert-Jan Roskam
wrote:
> On Sun, Dec 7, 2014 11:06 AM CET Stefan Behnel wrote:
>>
>>I think this is trying to position PyPy more in the same corner as other
>>JIT compilers for CPython, as opposed to keeping it a completely s
currently work under pypy. With this tool I could
still take advantage of pypy JIT, but use CPython for other stuff.
--
https://mail.python.org/mailman/listinfo/python-list
On 7 December 2014 at 14:31, Albert-Jan Roskam
wrote:
> On Sun, Dec 7, 2014 11:06 AM CET Stefan Behnel wrote:
>>
>>I think this is trying to position PyPy more in the same corner as other
>>JIT compilers for CPython, as opposed to keeping it a completely separate
>>thi
s://github.com/fijal/jitpy
>>
>> Interesting, but it is not clear to me when you would use jitpy instead
>> of pypy.
>
>I think this is trying to position PyPy more in the same corner as other
>JIT compilers for CPython, as opposed to keeping it a completely separate
>t
itpy instead
> of pypy.
I think this is trying to position PyPy more in the same corner as other
JIT compilers for CPython, as opposed to keeping it a completely separate
thing which suffers from being "not CPython". It's a huge dependency, but
so are others.
Being able to cho
Albert-Jan Roskam wrote:
> Interesting, but it is not clear to me when you would use jitpy instead
> of pypy. Too bad pypy alone was not included in the benchmarks (cython
> would have also been nice).
And Numba can JIT compile this far better than PyPy and jitpy.
Sturla
--
https://mail.pytho
On Fri, Dec 5, 2014 8:54 PM CET Mark Lawrence wrote:
>For those who haven't heard thought this might be of interest
>https://github.com/fijal/jitpy
Interesting, but it is not clear to me when you would use jitpy instead of
pypy. Too bad pypy alone was not included
On 12/5/2014 2:54 PM, Mark Lawrence wrote:
For those who haven't heard thought this might be of interest
https://github.com/fijal/jitpy
So the old cpython module psyco which became the pypy jit is back as
jitpy. Nice.
--
Terry Jan Reedy
--
https://mail.python.org/mailman/listinfo/p
For those who haven't heard thought this might be of interest
https://github.com/fijal/jitpy
--
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.
Mark Lawrence
--
https://mail.python.org/mailman/listinfo/python-list
On Mon, Oct 6, 2014 at 8:08 PM, Steven D'Aprano wrote:
> On Mon, 06 Oct 2014 09:05:17 +, jakubo wrote:
>
>> After invoking autocompletion (.__ and hitting tab), session has been
>> automagically healed.
>
>
> That's ... um ...
>
> I have no words.
>
>
> Can you confirm that autocompletion modi
On Mon, 06 Oct 2014 09:05:17 +, jakubo wrote:
> After invoking autocompletion (.__ and hitting tab), session has been
> automagically healed.
That's ... um ...
I have no words.
Can you confirm that autocompletion modifies globals()? I don't have 3.4
installed here.
--
Steven
--
https
On 2014-10-01, Peter Otten <__pete...@web.de> wrote:
> Steven D'Aprano wrote:
>
>> Out of curiosity, I ran:
>>
>> globals().clear()
>>
>> Oops.
>>
>> So, with no built-ins available, import no longer works. That makes things
>> rather tricky.
>>
>> Obviously the easiest way to recover is to exi
Chris Angelico schrieb am 02.10.2014 um 16:12:
> On Fri, Oct 3, 2014 at 12:07 AM, Grant Edwards wrote:
>> On 2014-10-01, Steven D'Aprano wrote:
>>
>>> Obviously the easiest way to recover is to exit the current session and
>>> restart it, but as a challenge, can we recover from this state?
>>
>> Py
On Fri, Oct 3, 2014 at 12:07 AM, Grant Edwards wrote:
> On 2014-10-01, Steven D'Aprano wrote:
>
>> Obviously the easiest way to recover is to exit the current session and
>> restart it, but as a challenge, can we recover from this state?
>
> Python apparently _does_ need a "restart command".
App
On 2014-10-01, Steven D'Aprano wrote:
> Obviously the easiest way to recover is to exit the current session and
> restart it, but as a challenge, can we recover from this state?
Python apparently _does_ need a "restart command".
--
Grant Edwards grant.b.edwardsYow! The PI
On 01/10/2014 18:00, Steven D'Aprano wrote:
Out of curiosity, I ran:
globals().clear()
in the interactive interpreter. It broke much more than I expected!
Built-ins were no longer available, and import stopped working.
Interesting... :D
Obviously the easiest way to recover is to exit the c
On 02/10/2014 09:11, Steven D'Aprano wrote:
Peter Otten wrote:
Steven D'Aprano wrote:
Obviously the easiest way to recover is to exit the current session and
restart it, but as a challenge, can we recover from this state?
$ python3
Python 3.4.0 (default, Apr 11 2014, 13:05:11)
[GCC 4.8.2]
Peter Otten wrote:
> Steven D'Aprano wrote:
>> Obviously the easiest way to recover is to exit the current session and
>> restart it, but as a challenge, can we recover from this state?
>
> $ python3
> Python 3.4.0 (default, Apr 11 2014, 13:05:11)
> [GCC 4.8.2] on linux
> Type "help", "copyright
yntax machine
with no name bindings -- sort of like a high-level assembler with no
access to a function library.
I expected that global variables would be all lost, but built-ins would
remain, since they don't live in the global namespace. ...
The reason, I think, is that CPython has a special __
would
remain, since they don't live in the global namespace. I was wrong:
globals().clear()
x = len([])
Traceback (most recent call last):
File "", line 1, in
NameError: name 'len' is not defined
The reason, I think, is that CPython has a special __builtins__ global
but built-ins would
> remain, since they don't live in the global namespace. I was wrong:
>
>>>> globals().clear()
>>>> x = len([])
> Traceback (most recent call last):
> File "", line 1, in
> NameError: name 'len' is not define
On Wed, Oct 1, 2014 at 9:14 AM, Chris Angelico wrote:
> On Thu, Oct 2, 2014 at 2:00 AM, Steven D'Aprano
> wrote:
> > Obviously the easiest way to recover is to exit the current session and
> > restart it, but as a challenge, can we recover from this state?
>
> Oooh interesting. This is kinda lik
On Thu, Oct 2, 2014 at 2:00 AM, Steven D'Aprano
wrote:
> Obviously the easiest way to recover is to exit the current session and
> restart it, but as a challenge, can we recover from this state?
Oooh interesting. This is kinda like breaking out of a sandbox, and I
know there are people here who a
lobal namespace. I was wrong:
>>> globals().clear()
>>> x = len([])
Traceback (most recent call last):
File "", line 1, in
NameError: name 'len' is not defined
The reason, I think, is that CPython has a special __builtins__ global
variable that the interpre
On 9/6/2014 4:42 AM, Peter Otten wrote:
Mark Lawrence wrote:
The following doesn't make any sense to me as I've very limited
knowledge of Mercurial so can someone explain why it says "added 12
changesets with 26 changes to 22 files" but then "3 files updated, 0
files merged, 0 files removed, 0
, 0 files unresolved". I'd expect to see
> 22 files updated. The output is cut and pasted directly from the
> TortoiseHg Sync screen.
I'm no expert either, but I would guess that the other modified files exist
only in another branch.
> % hg pull --verbose --update --
pect to see
22 files updated. The output is cut and pasted directly from the
TortoiseHg Sync screen.
% hg pull --verbose --update --config ui.merge=internal:merge
http://hg.python.org/cpython
pulling from http://hg.python.org/cpython
searching for changes
all local heads known remotely
adding
On 8/20/2014 8:24 PM, Adam Bishop wrote:
>> Or you can ignore it.
>
> It's a little tricky with mock, as failures during the test phase are
fatal.
Unfortunately, I have no idea what 'mock' is in this context.
Thanks for pointing me in the right direction.
If you possibly can, also act on N
been built
with different CFLAGS than cpython proper.
> Or you can ignore it.
It's a little tricky with mock, as failures during the test phase are fatal.
There's probably a config option to suppress that though.
> I am guessing that CentOS does not guarantee that Red Hat source c
In article <09843563-b0fd-451b-bf66-0fb720cec...@ja.net>,
Adam Bishop wrote:
> I'm trying to build python 3.3.2 from source packages provided by Red Hat
> under mock.
>
> The build itself works,but one specific test is failing:
>
>=
On 8/20/2014 7:05 PM, Adam Bishop wrote:
I'm trying to build python 3.3.2 from source packages provided by Red Hat under
mock.
The build itself works,but one specific test is failing:
==
FAIL: test_sysconfig_module
(d
use it
to fail? I don't see how the CFLAGS used in the build process could change
during the test run.
Other details: CentOS 7 x86_64, GCC 4.8.2, Python 3.3.2, mock 1.1.41
[1]
https://github.com/python/cpython/blob/edc966f9c5bc9291d2b7009f600e243142cf8a22/Lib/distutils/tests/test_sysconfig.p
ttp://www.python.org/workshops/1998-11/proceedings/papers/montanaro/
>>>
>> montanaro.html
>>
>>>
>>> Just wanted to clarify whether CPython already includes these kind of
>>> byte code optimizations?
>>>
>>
> Most of the easily seen and
On 2/17/2014 3:59 AM, Steven D'Aprano wrote:
On Mon, 17 Feb 2014 13:54:25 +0530, Laxmikant Chitare wrote:
I read about this article:
http://www.python.org/workshops/1998-11/proceedings/papers/montanaro/
montanaro.html
Just wanted to clarify whether CPython already includes these ki
On 2/17/14 3:59 AM, Steven D'Aprano wrote:
On Mon, 17 Feb 2014 13:54:25 +0530, Laxmikant Chitare wrote:
I read about this article:
http://www.python.org/workshops/1998-11/proceedings/papers/montanaro/
montanaro.html
Just wanted to clarify whether CPython already includes these kind of
On Mon, 17 Feb 2014 13:54:25 +0530, Laxmikant Chitare wrote:
> I read about this article:
> http://www.python.org/workshops/1998-11/proceedings/papers/montanaro/
montanaro.html
>
> Just wanted to clarify whether CPython already includes these kind of
> byte code optimizatio
Laxmikant Chitare wrote:
> Hello All,
>
> I read about this article:
>
http://www.python.org/workshops/1998-11/proceedings/papers/montanaro/montanaro.html
>
> Just wanted to clarify whether CPython already includes these kind of byte
> code optimizations? Are all th
Hello All,
I read about this article:
http://www.python.org/workshops/1998-11/proceedings/papers/montanaro/montanaro.html
Just wanted to clarify whether CPython already includes these kind of byte
code optimizations? Are all the temporary variables removed when byte code
is generated?
Regards
On Wed, Jul 3, 2013 at 10:55 PM, rusi wrote:
> On Wednesday, July 3, 2013 5:52:12 PM UTC+5:30, Steven D'Aprano wrote:
>> I'm running a box with Debian squeeze, and I just ran:
>> sudo aptitude install jython
>> which ended up installing Python 2.5:
>
> BTW trying to install jython out here gave me
On Wednesday, July 3, 2013 5:52:12 PM UTC+5:30, Steven D'Aprano wrote:
> I'm running a box with Debian squeeze, and I just ran:
> sudo aptitude install jython
> which ended up installing Python 2.5:
BTW trying to install jython out here gave me this list
(which does not seem to have this dependenc
On Wed, 03 Jul 2013 07:43:46 -0500, Skip Montanaro wrote:
>> Does anyone know why CPython 2.5 is a dependency for Jython 2.5.1+ on
>> Debian squeeze?
>
> Might Jython use some Python modules/packages unmodified? Does sys.path
> in Jython refer to the CPython tree?
Apparent
> Does anyone know why CPython 2.5 is a dependency for Jython 2.5.1+ on
> Debian squeeze?
Might Jython use some Python modules/packages unmodified? Does
sys.path in Jython refer to the CPython tree?
Skip
--
http://mail.python.org/mailman/listinfo/python-list
On Wednesday, July 3, 2013 5:52:12 PM UTC+5:30, Steven D'Aprano wrote:
> Does anyone know why CPython 2.5 is a dependency for Jython 2.5.1+ on
> Debian squeeze?
Not exactly answering your question...
The debian dependencies can be fairly 'conservative' which means all kind
I'm running a box with Debian squeeze, and I just ran:
sudo aptitude install jython
which ended up installing Python 2.5:
[...]
Linking and byte-compiling packages for runtime python2.5...
Setting up python2.5 (2.5.5-11) ...
Does anyone know why CPython 2.5 is a dependency for Jython
s, if they were supplied.
> But how do these PyObject* look in C?
It's a pointer to a struct that contains information like the class
and reference count of the object.
> How does a PyListObject* look declared in CPython.
That's a pointer to a larger struct that shares
; >
>
> > listsort(PyListObject *self, PyObject *args, PyObject *kwds)
>
> >
>
> > I've never worked with Cpython source before, but it looks like PyObject is
> > just some type of general strut.. I think anyway. How does python represent
> > a list of ints i
thon's implementation of timsort through cpython:
> >http://hg.python.org/cpython/file/default/Objects/listobject.c
>
> >
>
> Since you are new to GoogleGroups, if you can, run away from it as fast
>
> as possible. While material may look okay on their sys
h by
> all means, I'm not lazy, I can figure it myself. But, I wanted to pass in
> variables into listsort and watch timsort work line by line in gdb.
>
> listsort(PyListObject *self, PyObject *args, PyObject *kwds)
>
> I've never worked with Cpython source before, but i
sorry about that. I'm new to google groups. I'm trying to make sense of
python's implementation of timsort through cpython:
http://hg.python.org/cpython/file/default/Objects/listobject.c
I was replying to Terry Jan Reedy
>
> http://hg.python.org/cpython/file/default/Objects
ver worked with Cpython source before, but it looks like PyObject is
just some type of general strut.. I think anyway. How does python represent a
list of ints in source? and what are the two second arguments for, assuming the
first is the list strut.
On Saturday, June 15, 2013 12:44:01
, I wanted to pass in
variables into listsort and watch timsort work line by line in gdb.
listsort(PyListObject *self, PyObject *args, PyObject *kwds)
I've never worked with Cpython source before, but it looks like PyObject is
just some type of general strut.. I think anyway. How does pyt
On 6/15/2013 4:21 PM, alphons...@gmail.com wrote:
Well. I'm going to have a ton of fun trying to make sense of this.
http://hg.python.org/cpython/file/default/Objects/listsort.txt
is pretty clear (to me) for most of the basics.
--
Terry Jan Reedy
--
http://mail.python.org/mailman/lis
or the C implementation of builtin types' methods
> in
>
> the Python codebase. The C implementation listsort() corresponds with the
> Python
>
> method list.sort(). Similarly, listappend() is list.append(), listpop() is
>
> list.pop(), etc. C.f.
>
>
(), etc. C.f.
http://hg.python.org/cpython/file/default/Objects/listobject.c#l2362
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth.&q
Hey guys,
Thanks for the quick reply! So why did they decide to call it listsort in the
source instead? Why didn't they keep it as Timsort?
Well. I'm going to have a ton of fun trying to make sense of this.
--
http://mail.python.org/mailman/listinfo/python-list
On 2013-06-15 20:44, alphons...@gmail.com wrote:
I'm currently trying to make sense of Python's Timsort function. From the
wikipedia page I was told the algorithm is located somewhere here:
http://hg.python.org/cpython/file/default/Objects/listobject.c
So of all the functions in th
On Sat, Jun 15, 2013 at 2:44 PM, wrote:
> I'm currently trying to make sense of Python's Timsort function. From the
> wikipedia page I was told the algorithm is located somewhere here:
> http://hg.python.org/cpython/file/default/Objects/listobject.c
>
> So of all the
I'm currently trying to make sense of Python's Timsort function. From the
wikipedia page I was told the algorithm is located somewhere here:
http://hg.python.org/cpython/file/default/Objects/listobject.c
So of all the functions in there, could somebody point to me which one is
timsor
In article ,
Carlos Nepomuceno wrote:
> Is python.org powered by CPython?
Like many websites, the python.org domain consists of a number of
subdomains with several different webservers on various hosts. AFAIK,
the main www.python.org server is currently all (or mainly) static
content ser
Is python.org powered by CPython?
Is it using WSGI?
What Python version is been used?
I already checked it's using Apache. Is it using mod_wsgi?
Thanks in advance.
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http://mail.python.org/mailman/listinfo/python-list
Am 15.02.2013 08:11, schrieb Travis Oliphant:
Hey all,
With Numba and Blaze we have been doing a lot of work on what
essentially is compiler technology and realizing more and more that
we are treading on ground that has been plowed before with many other
projects. So, we wanted to create a web
Ivan Yurchenko wrote:
> Hello.
>
> I've done the following in CPython 2.7.3 and 3.3.0 (and also in PyPy
> 2.0b1):
>
>>>> import weakref
>>>> x = set()
>>>> y = weakref.proxy(x)
>>>> x.__class__, type(x), isinstance(x, set)
&g
Hello.
I've done the following in CPython 2.7.3 and 3.3.0 (and also in PyPy 2.0b1):
>>> import weakref
>>> x = set()
>>> y = weakref.proxy(x)
>>> x.__class__, type(x), isinstance(x, set)
(, , True)
>>> y.__class__, type(y), isinstance(y, set)
(
On Fri, Oct 19, 2012 at 9:26 AM, Dan Stromberg wrote:
>
> What's a good debugger for CPython 3.2? I'd prefer to use it on Linux
> Mint 13, and I'd be happy with something based on X11 or curses.
>
> I tried winpdb, but it was cranky that Linux didn't have a
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