code are few and
far between. OO, generic programming, and functional programming are the only
techniques of which I am aware for building large scale programs with
manageable complexity.
I would take any Fortran hype with large grains of salt.
Regards,
Ravi
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se to impossible to get code to work without
> quite good knowledge on multiple platforms without errors.
Not sure that that is quite true. C++ is not a very popular language around
here, but the combination of boost+Qt+python+scipy+hdf5+h5py has made
virtually all of my platform-specific code vanish (with the exception of some
platform-specific stuff in my CMake scripts).
Regards,
Ravi
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On Saturday 07 November 2009 22:56:29 a...@ajackson.org wrote:
> I want to build a 2D array of lists, and so I need to initialize the
> array with empty lists :
>
> myarray = array([[[],[],[]] ,[[],[],[]]])
In [1]: [[[]]*3]*2
Out[1]: [[[], [], []], [[], [], []]]
Hope this
python 2.6, will a corresponding scipy
0.7.x binary be available for python 2.6?
Or is my assumption -- that the scipy 0.7.0 binary available for python 2.5
will not work with python 2.6 -- incorrect?
Regards,
Ravi
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good news, for I can finally get rid of lots of hacks
(specifically to work around MSVC 7.1 deficiencies) in my code. MSVC 9.0 (used
to build python 2.6) will, hopefully, be a little better.
Regards,
Ravi
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or
flattened[ idx ] += vals
if 'vals' and 'idx' have the same size.
Regards,
Ravi
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, 18, 19],
[20, 21, 22, 23]])
In [3]: i = array( [1,3,4] )
In [4]: j = array( [1,3] )
In [5]: a[ ix_(i,j) ]
Out[5]:
array([[ 5, 7],
[13, 15],
[17, 19]])
Regards,
Ravi
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;,uint8,1), ('d',d1,(1,1)) ] )
In [107]: zeros( (4,), dtype=uint8 ).view( d2 )[ 'd' ].shape
Out[107]: (1,)
Why does d3 field 'd' have an extra axis? And why does d4 field 'd' have only
one axis?
Regards,
Ravi
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es of the reference, not of the actual array. This simplifies the code
quite a bit while maintaining the reference semantics that python programmers
use.
See dump_vec in decco.cc (the example module) for an example.
Regards,
Ravi
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ks for the code. Could you provide some benchmarks on the relative speeds
of the two approaches?
Regards,
Ravi
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ery
much like to take a look at it.
Regards,
Ravi
--- numpyregister.hpp.old 2009-01-21 11:15:50.0 -0500
+++ numpyregister.hpp 2008-10-08 11:35:24.0 -0400
@@ -174,6 +174,7 @@
static void execute() {}
};
+// Structure to hold flags for creating arrays referencing existing
found a bug with memory management that I fixed in the
updated code. Does that still not work for you?
Regards,
Ravi
[1] http://mail.python.org/pipermail/cplusplus-sig/2008-October/013825.html
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: (0,)
In [6]: y = zeros( (0,), dtype=int32 )
In [7]: y.shape
Out[7]: (0,)
Regards,
Ravi
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do this? And if so, is this potentially a problem?
No. Once the seeding is done, the Mersenne twister generates the random
numbers. So long as you are using those, you are fine (except for
cryptographic applications). If you don't trust the seed, you could always
seed it yourself a
Oops, please ignore my previous message. I just started using a new mail
client which marked some of my old messages (which I had tagged interesting)
the same as new messages and I just blindly replied to them without checking
the date. Sorry about the spam.
Ravi
umpy", "ndarray" );
3. If you want the C++-way of dealing with numpy matrices & vectors directly
as objects look at either of the following:
http://mail.python.org/pipermail/cplusplus-sig/2008-October/013825.html
http://mathema.tician.de/software/pyublas
Of course,
+ boost.ublas + numpy:
http://mail.python.org/pipermail/cplusplus-sig/2008-October/013825.html
Regards,
Ravi
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[4]: y[ ix_( array([1,2]), array([1,3,4]) ) ]
Out[4]:
array([[ 6, 8, 9],
[11, 13, 14]])
Regards,
Ravi
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ably be the simplest way to make it work.
Thank you very much for the pointer.
Regards,
Ravi
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cent.
Regards,
Ravi
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for storing their images and
will likely be supported for decades to come.
Regards,
Ravi
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pport on mingw and how can I help? I am a Windows n00b (mostly by choice)
when it comes to platform-specific issues.
Regards,
Ravi
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> effects.
Given that commenting out the section above allows numpy to compile without
any apparent side effects, is there any chance we could get "experimental"
binaries of numpy 1.2.0 for python 2.6? I do understand that a negative answer
is very likely and the reasons therefor.
received have been from Linux and Solris
users.
Thank for taking on this arduous task.
Regards,
Ravi
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> > work 100% with python 2.6 - so check this out if you do plan to use
> > more than just numpy. There are sometimes drawbacks to using brand
> > new releases ;)
>
> If I understand Ravi right, one problem with 2.5 is that it relies on an
> old toolset (VS 2003, not availa
or numpy 1.3?
Regards,
Ravi
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_New( &PyArray_Type, 2, dims, /*whatever*/, NULL,
NULL, 0, NPY_FARRAY, NULL );
Both the above return a array who PyArray_ISFORTRAN( obj ) succeeds. I can
verify this by checking bits 0 and 1 (LSB is bit 0) of PyArray_FLAGS.
Regar
array
guaranteed to be at least in an internally consistent state (weak exception
safety)?
In general, do functions modifying numpy arrays provide at least weak
exception safety guarantee? Or do they go one step further and provide
rollback semantics in ca
, should resizing be disallowed (by me as a programmer
writing code for A, B and C) in order to ensure that the arrays as seen by
them do not go out of sync?
Regards,
Ravi
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decrement the
reference once to get it back to 17 because I should not need a reference as I
already have one.
Regards,
Ravi
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on I crossed over from Matlab+C to Python+C++.
Regards,
Ravi
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