In article ,
Maxim Khitrov wrote:
>
>Interesting, though I'm not able to replicate that last outcome. The
>string method is still the fastest on my machine. Furthermore, it
>looks like the order in which you do the multiplication also matters -
>(8 * size * '\0') is faster than ('\0' * 8 * size).
On Fri, Feb 20, 2009 at 2:42 AM, Scott David Daniels
wrote:
> Maxim Khitrov wrote:
>>
>> ... Here's the function that I'll be using from now on. It gives me
>> exactly the behavior I need, with an int initializer being treated as
>> array size. Still not as efficient as it could be if supported
>>
Maxim Khitrov wrote:
... Here's the function that I'll be using from now on. It gives me
exactly the behavior I need, with an int initializer being treated as
array size. Still not as efficient as it could be if supported
natively by array (one malloc instead of two + memmove + extra
function cal
On Thu, Feb 19, 2009 at 10:06 PM, David Cournapeau wrote:
> On Fri, Feb 20, 2009 at 11:43 AM, Maxim Khitrov wrote:
>>
>> Yes, I may have a case where one thread is still sending data, while
>> another tries to close the connection, or two threads trying to close
>> the connection at the same time
On Fri, Feb 20, 2009 at 11:43 AM, Maxim Khitrov wrote:
>
> Yes, I may have a case where one thread is still sending data, while
> another tries to close the connection, or two threads trying to close
> the connection at the same time. In both cases, I need some parts of
> the code to be atomic to
On Thu, Feb 19, 2009 at 9:15 PM, John Machin wrote:
> On Feb 20, 6:53 am, Maxim Khitrov wrote:
>> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
>> > On 2009-02-19 12:52, Maxim Khitrov wrote:
>>
>> >> Hello all,
>>
>> >> I'm currently writing a Python<-> MATLAB interface with ctypes and
>>
On Thu, Feb 19, 2009 at 9:34 PM, David Cournapeau wrote:
> On Fri, Feb 20, 2009 at 4:53 AM, Maxim Khitrov wrote:
>> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
>>> On 2009-02-19 12:52, Maxim Khitrov wrote:
Hello all,
I'm currently writing a Python<-> MATLAB interface
On Fri, Feb 20, 2009 at 4:53 AM, Maxim Khitrov wrote:
> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
>> On 2009-02-19 12:52, Maxim Khitrov wrote:
>>>
>>> Hello all,
>>>
>>> I'm currently writing a Python<-> MATLAB interface with ctypes and
>>> array.array class, using which I'll need to p
On Feb 20, 6:53 am, Maxim Khitrov wrote:
> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
> > On 2009-02-19 12:52, Maxim Khitrov wrote:
>
> >> Hello all,
>
> >> I'm currently writing a Python<-> MATLAB interface with ctypes and
> >> array.array class, using which I'll need to push large amo
On Thu, Feb 19, 2009 at 7:01 PM, Scott David Daniels
wrote:
> Maxim Khitrov wrote:
>>
>> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern
>> wrote:
>> I have, but numpy is not currently available for python 2.6, which is
>> what I need for some other features, and I'm trying to keep the
>> dependenci
On Thu, Feb 19, 2009 at 7:01 PM, Scott David Daniels
wrote:
> Maxim Khitrov wrote:
>>
>> On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern
>> wrote:
>> I have, but numpy is not currently available for python 2.6, which is
>> what I need for some other features, and I'm trying to keep the
>> dependenci
Maxim Khitrov wrote:
On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
I have, but numpy is not currently available for python 2.6, which is
what I need for some other features, and I'm trying to keep the
dependencies down in any case
The only feature that I'm missing with array.array is t
On Thu, Feb 19, 2009 at 2:23 PM, Gabriel Genellina
wrote:
> En Thu, 19 Feb 2009 16:52:54 -0200, Maxim Khitrov
> escribió:
>
>> input = array('B', range(256) * 1)
>>
>> # Case 1
>> start = clock()
>> data1 = array('B', input)
>> print format(clock() - start, '.10f')
>
>> That seems very wrong.
On Thu, Feb 19, 2009 at 2:35 PM, Robert Kern wrote:
> On 2009-02-19 12:52, Maxim Khitrov wrote:
>>
>> Hello all,
>>
>> I'm currently writing a Python<-> MATLAB interface with ctypes and
>> array.array class, using which I'll need to push large amounts of data
>> to MATLAB.
>
> Have you taken a lo
On 2009-02-19 12:52, Maxim Khitrov wrote:
Hello all,
I'm currently writing a Python<-> MATLAB interface with ctypes and
array.array class, using which I'll need to push large amounts of data
to MATLAB.
Have you taken a look at mlabwrap?
http://mlabwrap.sourceforge.net/
At the very least,
En Thu, 19 Feb 2009 16:52:54 -0200, Maxim Khitrov
escribió:
input = array('B', range(256) * 1)
# Case 1
start = clock()
data1 = array('B', input)
print format(clock() - start, '.10f')
That seems very wrong. In the end, all arrays have the same data, but
by specifying it in the constru
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