ences between C and I Python. I'm learning Python using
> "Learning python" (figures :), so I was wondering - what are the
> practical differences between the two ? If I start with IPython, will
> I be able to switch to CPython later, or will I have trouble with that
> ?
ing python" (figures :), so I was wondering - what are the
practical differences between the two ? If I start with IPython, will
I be able to switch to CPython later, or will I have trouble with that
? Does IPython supports standard libraries like numpy and matplotlib ?
Greetings to all of you
On Feb 11, 2:00 pm, "Martin v. Löwis" wrote:
> > Can someone describe the details of how Python loads modules into
> > memory? I assume once the .py file is compiled to .pyc that it is
> > mmap'ed in. But that assumption is very naive. Maybe it uses an
> > anonymous mapping? Maybe it does othe
> Can someone describe the details of how Python loads modules into
> memory? I assume once the .py file is compiled to .pyc that it is
> mmap'ed in. But that assumption is very naive. Maybe it uses an
> anonymous mapping? Maybe it does other special magic? This is all
> very alien to me, so i
On 2009-02-11 15:30, sjbrown wrote:
Can someone describe the details of how Python loads modules into
memory? I assume once the .py file is compiled to .pyc that it is
mmap'ed in. But that assumption is very naive. Maybe it uses an
anonymous mapping? Maybe it does other special magic? This i
Can someone describe the details of how Python loads modules into
memory? I assume once the .py file is compiled to .pyc that it is
mmap'ed in. But that assumption is very naive. Maybe it uses an
anonymous mapping? Maybe it does other special magic? This is all
very alien to me, so if someone
On 2009-02-05 03:49, KMCB wrote:
> Thanks Simon and Marc,
>
> I currently have an app on OSX that I wanted to migrate to NIX, it
> uses a ODBC DBAPI interface to communicate with Filemaker.
> Unfortunately, FMP does not support linux drivers. They do have a
> JDBC driver that looks like it may wo
Thanks Simon and Marc,
I currently have an app on OSX that I wanted to migrate to NIX, it
uses a ODBC DBAPI interface to communicate with Filemaker.
Unfortunately, FMP does not support linux drivers. They do have a
JDBC driver that looks like it may work. My preference was to run
that app on one
On 2009-02-03 19:30, KMCB wrote:
> I was wondering if anyone was aware of a JDBC DBAPI module for
> cpython. I have looked at PYJDBC and was interested in avoiding using
> that extra level of ICE. I was thinking maybe someone would have back
> ported zxJDBC from Jython. Or us
2009/2/3 KMCB :
> I was wondering if anyone was aware of a JDBC DBAPI module for
> cpython. I have looked at PYJDBC and was interested in avoiding using
> that extra level of ICE. I was thinking maybe someone would have back
> ported zxJDBC from Jython. Or used that as a starti
I was wondering if anyone was aware of a JDBC DBAPI module for
cpython. I have looked at PYJDBC and was interested in avoiding using
that extra level of ICE. I was thinking maybe someone would have back
ported zxJDBC from Jython. Or used that as a starting point, to
create a module and had a C
I'm trying to return a Python string from a C++ function (actually
inside gnuradio) using CPython 2.5. My C++ function is declared like:
typedef struct {
int size;
unsigned char *data;
} STRING
STRINGBUF myfunc(std::string s)
{
STRINGBUF buf;
.
.
.
buf.size = s.length();
buf
> That's interesting. It's dumber than I thought. All temporaries
> on the stack are "boxed" as PyObjects. That's simple and portable,
> but slow.
Not only that - Python does not ever have the concept of unboxed
values, except for local variables in the C implementations of
arithmetic operat
Terry Reedy wrote:
Various people have asked on c.l.p about documentation of CPython's
virtual machine internals. The usual answers have been to see the dis
module doc for bytecodes and 'read the code' for more. Jakob Sievers
did so and posted his notes, with additions from Martin v. Löwis, a
Various people have asked on c.l.p about documentation of CPython's
virtual machine internals. The usual answers have been to see the dis
module doc for bytecodes and 'read the code' for more. Jakob Sievers
did so and posted his notes, with additions from Martin v. Löwis, as
http://wiki.pyth
Steve Holden wrote:
> Aaron Gray wrote:
>> "Aaron Gray" <[EMAIL PROTECTED]> wrote in message
>> news:[EMAIL PROTECTED]
>>> Hi,
>>>
>>> I am looking to study the CPython source code, but I cannot seem to find
>>> the VM code.
&
Aaron Gray wrote:
> "Aaron Gray" <[EMAIL PROTECTED]> wrote in message
> news:[EMAIL PROTECTED]
>> Hi,
>>
>> I am looking to study the CPython source code, but I cannot seem to find
>> the VM code.
>
> Found it :)
>
> Python/cev
>Bytecodes:
>http://docs.python.org/lib/bytecodes.html
>
>VM:
>Python/ceval.c
Thanks,
Aaron
--
http://mail.python.org/mailman/listinfo/python-list
"Aaron Gray" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> Hi,
>
> I am looking to study the CPython source code, but I cannot seem to find
> the VM code.
Found it :)
Python/ceval.c
> Also is there any where a detailed list of the op
On Apr 8, 9:29 pm, "Aaron Gray" <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I am looking to study the CPython source code, but I cannot seem to find the
> VM code.
> Also is there any where a detailed list of the opcodes ?
>
> Many thanks in advance,
>
> A
Hi,
I am looking to study the CPython source code, but I cannot seem to find the
VM code.
Also is there any where a detailed list of the opcodes ?
Many thanks in advance,
Aaron
--
http://mail.python.org/mailman/listinfo/python-list
On Feb 12, 7:49 pm, [EMAIL PROTECTED] wrote:
> Fuzzyman:
>
> > Another interesting little benchmark of CPython and IronPython. Can't
> > see the code, but it looks like an implementation of the 11 queens
> > problem and IronPython comes out a clear winner on this one.
Fuzzyman:
> Another interesting little benchmark of CPython and IronPython. Can't
> see the code, but it looks like an implementation of the 11 queens
> problem and IronPython comes out a clear winner on this one. (Looks
> like no benchmark for psyco.)
If you want a mor
On Feb 5, 5:31 pm, dmitrey <[EMAIL PROTECTED]> wrote:
> Hi all,
> the urlhttp://torquedev.blogspot.com/2008/02/changes-in-air.html
> (blog of a game developers)
> saysIronPythonis faster than CPython in 1.6 times.
> Is it really true?
> If yes, what areIronPythondrawbacks
On Feb 6, 1:54 pm, Stefan Behnel <[EMAIL PROTECTED]> wrote:
> Isaac Gouy wrote:
> > On Feb 5, 11:47 am, Stefan Behnel <[EMAIL PROTECTED]> wrote:
> >> [EMAIL PROTECTED] schrieb:
>
> >>> Mike C. Fletcher:
> Not sure if Mono also provides a speedup.
> >>> There is a set of good benchmarks here, t
Fuzzyman wrote:
> On Feb 5, 7:47 pm, Stefan Behnel <[EMAIL PROTECTED]> wrote:
>> [EMAIL PROTECTED] schrieb:
>>
>>> Mike C. Fletcher:
Not sure if Mono also provides a speedup.
>>> There is a set of good benchmarks here, the answer is negative:
>>> http://shootout.alioth.debian.org/sandbox/bench
Isaac Gouy wrote:
> On Feb 5, 11:47 am, Stefan Behnel <[EMAIL PROTECTED]> wrote:
>> [EMAIL PROTECTED] schrieb:
>>
>>> Mike C. Fletcher:
Not sure if Mono also provides a speedup.
>>> There is a set of good benchmarks here, the answer is negative:
>>> http://shootout.alioth.debian.org/sandbox/be
On Wed, 2008-02-06 at 13:39 -0800, Fuzzyman wrote:
> On Feb 5, 7:47 pm, Stefan Behnel <[EMAIL PROTECTED]> wrote:
> > [EMAIL PROTECTED] schrieb:
> >
> > > Mike C. Fletcher:
> > >> Not sure if Mono also provides a speedup.
> >
> > > There is a set of good benchmarks here, the answer is negative:
> >
On Feb 5, 6:52 pm, Steve Holden <[EMAIL PROTECTED]> wrote:
> Jeff wrote:
> >IronPythonruns on top of .NET. I would be suspect of any claims that
> > it is faster than cPython, just as I would of claims that Stackless or
> > Jython are faster.
>
> Well don't
On Feb 5, 7:47 pm, Stefan Behnel <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] schrieb:
>
> > Mike C. Fletcher:
> >> Not sure if Mono also provides a speedup.
>
> > There is a set of good benchmarks here, the answer is negative:
> >http://shootout.alioth.debian.org/sandbox/benchmark.php?test=all&l
On Feb 6, 12:04 am, [EMAIL PROTECTED] wrote:
> Stefan Behnel:
>
> > This doesn't look like Mono to me:
> >IronPython 1.1 (1.1) on .NET 2.0.50727.42
>
> You are right!
No.
> I think this shows that IronPython isn't faster than
> CPython at all :
On Feb 5, 11:47 am, Stefan Behnel <[EMAIL PROTECTED]> wrote:
> [EMAIL PROTECTED] schrieb:
>
> > Mike C. Fletcher:
> >> Not sure if Mono also provides a speedup.
>
> > There is a set of good benchmarks here, the answer is negative:
> >http://shootout.alioth.debian.org/sandbox/benchmark.php?test=all&
Stefan Behnel:
> This doesn't look like Mono to me:
> IronPython 1.1 (1.1) on .NET 2.0.50727.42
You are right! I think this shows that IronPython isn't faster than
CPython at all :-) (And it uses more memory).
Bye,
bearophile
--
http://mail.python.org/mailman/listinfo/python-list
Christian Heimes wrote:
> Luis M. González wrote:
>> The result is that it runs slighty faster in both, IP and CP, but
>> cpython is still faster (around 2x) than ironpython.
>> However, when using psyco simply blows everything out of the water...
>
> CPython is very
Luis M. González wrote:
> The result is that it runs slighty faster in both, IP and CP, but
> cpython is still faster (around 2x) than ironpython.
> However, when using psyco simply blows everything out of the water...
CPython is very fast here because it keeps blocks of allocated intege
On 5 feb, 14:31, dmitrey <[EMAIL PROTECTED]> wrote:
> Hi all,
> the urlhttp://torquedev.blogspot.com/2008/02/changes-in-air.html
> (blog of a game developers)
> says IronPython is faster than CPython in 1.6 times.
> Is it really true?
> If yes, what are IronPython drawbacks
uedev.blogspot.com/2008/02/changes-in-air.html
> > > (blog of a game developers)
> > > says IronPython is faster than CPython in 1.6 times.
> > > Is it really true?
>
> > This is a second time around that IronPython piqued my interest
> > sufficiently t
On Feb 5, 4:56 pm, Arnaud Delobelle <[EMAIL PROTECTED]> wrote:
> Could it be because .NET doesn't have arbitrary length integer types
> and your little benchmark will create lots of integers > 2**32 ?
> What is the result if you replace foo(a) with
> def foo(a): return sqrt(a)
Good observation,
On Feb 5, 8:01 pm, Istvan Albert <[EMAIL PROTECTED]> wrote:
> On Feb 5, 12:31 pm, dmitrey <[EMAIL PROTECTED]> wrote:
>
> > Hi all,
> > the urlhttp://torquedev.blogspot.com/2008/02/changes-in-air.html
> > (blog of a game developers)
> > says IronPython is f
dmitrey wrote:
> Hi all,
> the url http://torquedev.blogspot.com/2008/02/changes-in-air.html
> (blog of a game developers)
> says IronPython is faster than CPython in 1.6 times.
> Is it really true?
> If yes, what are IronPython drawbacks vs CPython?
> And is it possible to us
On Feb 5, 12:31 pm, dmitrey <[EMAIL PROTECTED]> wrote:
> Hi all,
> the urlhttp://torquedev.blogspot.com/2008/02/changes-in-air.html
> (blog of a game developers)
> says IronPython is faster than CPython in 1.6 times.
> Is it really true?
This is a second time around that
[EMAIL PROTECTED] schrieb:
> Mike C. Fletcher:
>> Not sure if Mono also provides a speedup.
>
> There is a set of good benchmarks here, the answer is negative:
> http://shootout.alioth.debian.org/sandbox/benchmark.php?test=all&lang=iron
This doesn't look like Mono to me:
IronPython 1.1 (
Mike C. Fletcher:
> Not sure if Mono also provides a speedup.
There is a set of good benchmarks here, the answer is negative:
http://shootout.alioth.debian.org/sandbox/benchmark.php?test=all&lang=iron
Bye,
bearophile
--
http://mail.python.org/mailman/listinfo/python-list
o be a usable
>replacement for CPython, but it will require a lot of developer-years to
>get it there, most likely.
Actually, PyPy is just about (within a factor of 2 for most things) as
fast as CPython right now. A bigger hurdle is the availability of
extension modules.
>
>It would b
dmitrey wrote:
> Hi all,
> the url http://torquedev.blogspot.com/2008/02/changes-in-air.html
> (blog of a game developers)
> says IronPython is faster than CPython in 1.6 times.
> Is it really true?
>
On certain platforms, I believe so, for certain types of operations.
Not
Jeff wrote:
> IronPython runs on top of .NET. I would be suspect of any claims that
> it is faster than cPython, just as I would of claims that Stackless or
> Jython are faster.
Well don't be. There are benchmarks that clearly show IronPython as
faster for selected tests. Ot
IronPython runs on top of .NET. I would be suspect of any claims that
it is faster than cPython, just as I would of claims that Stackless or
Jython are faster.
--
http://mail.python.org/mailman/listinfo/python-list
Hi all,
the url http://torquedev.blogspot.com/2008/02/changes-in-air.html
(blog of a game developers)
says IronPython is faster than CPython in 1.6 times.
Is it really true?
If yes, what are IronPython drawbacks vs CPython?
And is it possible to use IronPython in Linux?
D.
--
http
It looks a bit like an add for Coverity, but under all that, they seem
to have picked Python as one of the OS projects to test with their
improved testing software because our developers were so good at
working on any "bugs" reported by their earlier tool.
Good job guys.
http://scan.coverity.com
Stefan Behnel wrote:
> Christof Hoeke wrote:
>> I was wondering if there is any way to use XSLT2 or maybe even XQuery
>> with "normal" CPython. Using Saxon/XSLT2 with Jython is no problem (I
>> have not tried Saxon.NET with IronPython but suspect no problem?) but I
&
rouri wrote:
> > > Is it possible to write a Python extension that uses the Boehm garbage
> > > collector?
> > > I have a C library written that makes use ofboehm-gcfor memory
> > > management. To use that, I have to call GC_INIT() at the start of the
> > > p
Christof Hoeke wrote:
> I was wondering if there is any way to use XSLT2 or maybe even XQuery
> with "normal" CPython. Using Saxon/XSLT2 with Jython is no problem (I
> have not tried Saxon.NET with IronPython but suspect no problem?) but I
> could not find any way to use X
r memory
> > management. To use that, I have to call GC_INIT() at the start of the
> > program that uses the library. Now I want to encapsulate the library
> > as a CPython extension. The question is really is that possible? And
> > will there be conflicts between the boehm-gc
hi,
I was wondering if there is any way to use XSLT2 or maybe even XQuery
with "normal" CPython. Using Saxon/XSLT2 with Jython is no problem (I
have not tried Saxon.NET with IronPython but suspect no problem?) but I
could not find any way to use XSLT2 or XPath Features with CPython
. Now I want to encapsulate the library
> as a CPython extension. The question is really is that possible? And
> will there be conflicts between the boehm-gc and Python memory
> management? And when should I call GC_INIT?
It probably should be possible with some caveats:
- memory allocated by Pyt
that uses the Boehm garbage
> > collector?
> > I have a C library written that makes use of boehm-gc for memory
> > management. To use that, I have to call GC_INIT() at the start of the
> > program that uses the library. Now I want to encapsulate the library
> > as a CPyt
garbage
> collector?
> I have a C library written that makes use of boehm-gc for memory
> management. To use that, I have to call GC_INIT() at the start of the
> program that uses the library. Now I want to encapsulate the library
> as a CPython extension. The question is really is
library
as a CPython extension. The question is really is that possible? And
will there be conflicts between the boehm-gc and Python memory
management? And when should I call GC_INIT?
Best Regards,
Muhammad Alkarouri
--
http://mail.python.org/mailman/listinfo/python-list
ere are
>areas to improve, until I read some articles that say IronPython is a few
>times faster.
In my limitted experience, IronPython is slower than CPython. I can't
actually get much to run with IronPython, but what I have been able
to get working runs slower. In particular initializ
managed code:
>
> http://www.python.org/~jeremy/weblog/031209a.html
> http://blogs.msdn.com/jasonmatusow/archive/2005/03/28/402940.aspx
You might argue that Python programs executed using CPython "run on
hardware" to a *lesser* extent than they do when run in IronPython. In
either c
On Dec 19, 9:18 am, "Jack" <[EMAIL PROTECTED]> wrote:
> I learned a lot from the other thread 'Is a "real" C-Python possible?' about
> Python performance and optimization. I'm almost convinced that Python's
> performance is pretty good for this dynamic language although there are
> areas to improve
I learned a lot from the other thread 'Is a "real" C-Python possible?' about
Python performance and optimization. I'm almost convinced that Python's
performance is pretty good for this dynamic language although there are
areas to improve, until I read some articles that say IronPython is a few
grbgooglefan wrote:
> How do we resolve this error?
The easiest way to solve all your problems is: make altinstall.
It installs Python in PREFIX (usually /usr/local). Although it is
possible to run Python in a build directory it is tricky and may not
work for your own program.
Christian
--
ht
On Dec 7, 5:15 pm, Christian Heimes <[EMAIL PROTECTED]> wrote:
> grbgooglefan wrote:
> > I am compiling CPP program which uses CPython API functions from
> > Python 2.5.1 source code
>
> > First I compiled with this commanline, that time I got "pyconfig.h"
grbgooglefan wrote:
> I am compiling CPP program which uses CPython API functions from
> Python 2.5.1 source code
>
> First I compiled with this commanline, that time I got "pyconfig.h"
> not found.
On Unix you have to run ./configure and make before you can use a source
On Dec 7, 2:17 pm, grbgooglefan <[EMAIL PROTECTED]> wrote:
> On Dec 7, 12:32 pm, grbgooglefan <[EMAIL PROTECTED]> wrote:
>
>
>
>
>
> > I am compiling CPP program which uses CPython API functions from
> > Python 2.5.1 source code
>
> > Fir
On Dec 7, 12:32 pm, grbgooglefan <[EMAIL PROTECTED]> wrote:
> I am compiling CPP program which uses CPython API functions from
> Python 2.5.1 source code
>
> First I compiled with this commanline, that time I got "pyconfig.h"
> not found.
> g++ -Os -I../../Inc
I am compiling CPP program which uses CPython API functions from
Python 2.5.1 source code
First I compiled with this commanline, that time I got "pyconfig.h"
not found.
g++ -Os -I../../Include ../../libpython2.5.a -lm -ldl -lpthread -lutil
testeval.cpp
In file included from test
Holy Shmoly, Ruby 1.9 smokes Python away!
http://antoniocangiano.com/2007/11/28/holy-shmoly-ruby-19-smokes-python-away/
The post is less flaming than the title, fortunately. :-)
--
Nicola Larosa - http://www.tekNico.net/
If you have multiple CPUs and you want to use them all, fork off as
many
pr
[EMAIL PROTECTED] schrieb:
> I get this from valgrind (no suppression file but thgis probably is
> not covered by the suppressor anyway):
> ==6108== Invalid read of size 4
> ==6108==at 0x48D19F4: lookdict_string (dictobject.c:359)
> ==6108==by 0x48D1B59: PyDict_GetItem (dictobject.c:554)
>
I get this from valgrind (no suppression file but thgis probably is
not covered by the suppressor anyway):
==6108== Invalid read of size 4
==6108==at 0x48D19F4: lookdict_string (dictobject.c:359)
==6108==by 0x48D1B59: PyDict_GetItem (dictobject.c:554)
==6108==by 0x48B1657: instance_geta
The great thing about CPython is that it comes with the batteries
included. The problem with IronPython is that some of these batteries
just don't fit - in particular, most of the the C extensions don't
work. We'd like to help fix at least some of this problem, to help
On Sep 12, 10:59 pm, Duncan Booth <[EMAIL PROTECTED]>
wrote:>
[snip]
> I believe the claim is that using the full 17 digits ensures the round-
> tripping works even if you serialise and deserialise on different
> systems, so perhaps we all pay a cost in our interactive sessions for
> something wh
3)*10-3
7.1054273576e-015
These values will still roundtrip to the exact same internal
representations. BTW, I didn't have to work too hard to figure out what
that last value should be, the first is cut/paste from CPython, the
second is what IronPython gives you.
I believe the claim is that
[david] wrote:
> Leaving aside the question of why str should return repr,
str doesn't "return" repr. str returns a "nice string
representation" of an object. This "nice string representation" of
a list is the opening square bracket, the repr of its contents
seperated by comma, and the closing sq
Bjoern Schliessmann wrote:
> [david] wrote:
>> returns poorly formatted values:
>
> Please explain.
>
>> >>>str(13.3)
>> '13.3'
>> >>>str([13.3])
>> '[13.301]'
>
> This is quite a FAQ.
>
> str of a float returns the float, rounded to decimal precision.
>
> str of a list returns a
[david] wrote:
> returns poorly formatted values:
Please explain.
> >>>str(13.3)
> '13.3'
> >>>str([13.3])
> '[13.301]'
This is quite a FAQ.
str of a float returns the float, rounded to decimal precision.
str of a list returns a square brackets enclosed enumeration of the
content
On Sep 11, 4:07 am, "[david]" <[EMAIL PROTECTED]> wrote:
> returns poorly formatted values:
>
> >>>str(13.3)
> '13.3'
> >>>str([13.3])
> '[13.301]'
>
> [david]
There is some difference in the way repr() and str() convert floats to
strings:
>>> a = 13.3
>>> print str(a)
13.3
>>> prin
returns poorly formatted values:
>>>str(13.3)
'13.3'
>>>str([13.3])
'[13.301]'
[david]
--
http://mail.python.org/mailman/listinfo/python-list
. If you have a use for a
secured CPython interpreter then please have a look (although the work
generalizes to the language, I implemented it in CPython since that is
what I know best). This work is not about replacing rexec, though!
It secures the entire interpreter and is not about running some
Is this stephen coursen, once married to michelle coursen from linden NJ?
--
http://mail.python.org/mailman/listinfo/python-list
In article <[EMAIL PROTECTED]>,
"Andy Watson" <[EMAIL PROTECTED]> wrote:
...
> If I could have a heap that is larger and does not need to be
> dynamically extended, then the Python GC could work more efficiently.
...
GC! If you're allocating lots of objects and holding on to them, GC
will ru
haven't even looked at Python memory management internals since 2.3,
> and not in detail then, so I'm sure someone will correct me in the
> case that I am wrong.
>
> However, I believe that this is almost exactly how CPython GC does not
> work. CPython is refcounted wit
Andy Watson schrieb:
> I have an application that scans and processes a bunch of text files.
> The content I'm pulling out and holding in memory is at least 200MB.
>
> I'd love to be able to tell the CPython virtual machine that I need a
> heap of, say 300MB up front ra
#x27;m sure someone will correct me in the
case that I am wrong.
However, I believe that this is almost exactly how CPython GC does not
work. CPython is refcounted with a generational GC for cycle
detection. There's a memory pool that is used for object allocation
(more than one, I think, fo
On Feb 22, 10:53 am, a bunch of folks wrote:
> Memory is basically free.
This is true if you are simply scanning a file into memory. However,
I'm storing the contents in some in-memory data structures and doing
some data manipulation. This is my speculation:
Several small objects per scanned
Andy Watson kirjoitti:
> I have an application that scans and processes a bunch of text files.
> The content I'm pulling out and holding in memory is at least 200MB.
>
> I'd love to be able to tell the CPython virtual machine that I need a
> heap of, say 300MB up front ra
hly how much memory I'm going
> to need, and cpython seems to be taking a fair amount of time
> extending its heap as I read in content incrementally.
>
To my knowledge, no modern OS actually commits any memory at all to a
process until it is written to. Pre-extending the heap would eit
Andy Watson wrote:
> > Why do you want that? And no, it is not possible. And to be honest:
> I have
>> no idea why e.g. the JVM allows for this.
>>
>> Diez
>
> The reason why is simply that I know roughly how much memory I'm going
> to need, and cpython
Andy Watson wrote:
> > Why do you want that? And no, it is not possible. And to be honest:
> I have
>> no idea why e.g. the JVM allows for this.
>
> The reason why is simply that I know roughly how much memory I'm going
> to need, and cpython seems to be taking a fa
> Why do you want that? And no, it is not possible. And to be honest:
I have
> no idea why e.g. the JVM allows for this.
>
> Diez
The reason why is simply that I know roughly how much memory I'm going
to need, and cpython seems to be taking a fair amount of time
extending its
Andy Watson wrote:
> I have an application that scans and processes a bunch of text files.
> The content I'm pulling out and holding in memory is at least 200MB.
>
> I'd love to be able to tell the CPython virtual machine that I need a
> heap of, say 300MB up front ra
I have an application that scans and processes a bunch of text files.
The content I'm pulling out and holding in memory is at least 200MB.
I'd love to be able to tell the CPython virtual machine that I need a
heap of, say 300MB up front rather than have it grow as needed. I
Anthony Baxter wrote:
> On 12/13/06, Holger Joukl <[EMAIL PROTECTED]> wrote:
>> I did read this but didn't think it applied to my situation. I'm quite
>> sure that the refcount of the local variable is 1 before the local scope
>> is left.
>> So let me rephrase the question: Even if I can make sure
On 12/13/06, Holger Joukl <[EMAIL PROTECTED]> wrote:
> I did read this but didn't think it applied to my situation. I'm quite
> sure that the refcount of the local variable is 1 before the local scope
> is left.
> So let me rephrase the question: Even if I can make sure that non of the
> problemati
[EMAIL PROTECTED] schrieb am 13.12.2006
11:09:13:
> Holger Joukl wrote:
>
> > Anyway: Is relying on __del__ getting called immediately when the
refcount
> > drops to 0 a no-no?
>
> yes, but more importantly, relying on the refcount dropping to 0 when
> something goes out of scope is a major no-no.
Holger Joukl wrote:
> Anyway: Is relying on __del__ getting called immediately when the refcount
> drops to 0 a no-no?
yes, but more importantly, relying on the refcount dropping to 0 when
something goes out of scope is a major no-no.
> If so should that maybe be prominently stated in the docs?
Hi all,
I've recently run into a problem that I haven't seen with python 1.5.2 and
python 2.3.
It seems that under certain conditions __del__ does not get immediately
called when a local variable goes out of scope.
I ended up with deadlocks in a threaded application because a locked
section
was
osoft Corporation. All rights reserved.
> >>> str is unicode
> True
This might also explain in part the relative slowness you noticed.
OTOH, IronPython on Mono is around 20% faster than cPython 2.4 and
2.5c1 running pystone on my laptop (~50K pystones/sec for IronPython,
~41K pysto
Here are some data points that illustrate the improvement in speed
since 2.1 for one (probably atypical) application: rummaging through a
120MB Microsoft Excel spreadsheet file using the xlrd package.
The time shown is the number of seconds required to open the file and
parse out all data content
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