Hi,
I just noticed some weird behavior in operations with uint64 and int,
heres an example:
numpy.uint64(3)+1
4.0
type(numpy.uint64(3)+1)
type 'numpy.float64'
Pearu
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Sun, 13 Jun 2010 06:54:29 +0200, Sturla Molden wrote:
[clip: memory management only in the interface]
You forgot views: if memory management is done in the interface layer, it
must also make sure that the memory pointed to by a view is never moved
around, and not freed before all the views are
Hi folks,
I am trying to wrap a library with swig, distutils and numpy, and am
facing troubles. In fact, swig documentation mention that it is possible
to mention a module docsstring in the %module directive :
%module(docstring=This is the example module's docstring) example
where example is
Sat, 12 Jun 2010 17:33:13 -0700, Dan Roberts wrote:
[clip: refactoring PyArray_Scalar]
There are a few problems with this. The biggest problem for me is
that it appears PyUCS2Buffer_FromUCS4() doesn't produce UCS2 at all, but
rather UTF-16 since it produces surrogate pairs for code points
int can be larger than numpy.int64 therefore it should be coerced to float64
(or float96/float128)
Nadav
-Original Message-
From: numpy-discussion-boun...@scipy.org on behalf of Pearu Peterson
Sent: Sun 13-Jun-10 12:08
To: Discussion of Numerical Python
Subject: [Numpy-discussion]
On Sun, Jun 13, 2010 at 4:45 PM, Nadav Horesh nad...@visionsense.com wrote:
int can be larger than numpy.int64 therefore it should be coerced to float64
(or float96/float128)
Ok, I see. The results type is defined by the types of operands, not
by their values. I guess
this has been discussed
On Sun, Jun 13, 2010 at 9:20 AM, Pearu Peterson pearu.peter...@gmail.comwrote:
On Sun, Jun 13, 2010 at 4:45 PM, Nadav Horesh nad...@visionsense.com
wrote:
int can be larger than numpy.int64 therefore it should be coerced to
float64 (or float96/float128)
Ok, I see. The results type is
Den 13.06.2010 18:19, skrev Charles R Harris:
It's the combination of unsigned with signed that causes the
promotion. The int64 type can't hold the largest values in uint64.
Strictly speaking, doubles can't hold either of the 64 bit integer
types without loss of precision but at least the
2010/6/13 Pauli Virtanen p...@iki.fi:
def tensor_contraction_single(tensor, dimensions):
Perform a single tensor contraction over the dimensions given
swap = [x for x in range(tensor.ndim)
if x not in dimensions] + list(dimensions)
x = tensor.transpose(swap)
for k in
Friedrich Romstedt wrote:
2010/6/13 Pauli Virtanen p...@iki.fi:
def tensor_contraction_single(tensor, dimensions):
Perform a single tensor contraction over the dimensions given
swap = [x for x in range(tensor.ndim)
if x not in dimensions] + list(dimensions)
x =
2010/6/13 Alan Bromborsky abro...@verizon.net:
I am writing symbolic tensor package for general relativity. In making
symbolic tensors concrete
I generate numpy arrays stuffed with sympy functions and symbols.
That sound's interesting.
The
operations are tensor product
Is this not what
core.numeric.tensordothttp://docs.scipy.org/numpy/docs/numpy.core.numeric.tensordot/does?
DG
On Sun, Jun 13, 2010 at 12:37 PM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
2010/6/13 Alan Bromborsky abro...@verizon.net:
I am writing symbolic tensor package for
As an update. I was able to get py 3.2.1 current source to build/install.
After that I was able to build and install the current numpy. Everything
seems ok.
I did try to run the tests but get an error. It looks like nose has a
problem.
np.test()
Running unit tests for numpy
Traceback (most
Friedrich Romstedt wrote:
2010/6/13 Alan Bromborsky abro...@verizon.net:
I am writing symbolic tensor package for general relativity. In making
symbolic tensors concrete
I generate numpy arrays stuffed with sympy functions and symbols.
That sound's interesting.
The
On Mon, Jun 14, 2010 at 5:17 AM, Vincent Davis vinc...@vincentdavis.netwrote:
As an update. I was able to get py 3.2.1 current source to build/install.
After that I was able to build and install the current numpy. Everything
seems ok.
I did try to run the tests but get an error. It looks like
On Sun, Jun 13, 2010 at 5:06 PM, David Cournapeau courn...@gmail.com wrote:
On Mon, Jun 14, 2010 at 5:17 AM, Vincent Davis vinc...@vincentdavis.net
wrote:
As an update. I was able to get py 3.2.1 current source to build/install.
After that I was able to build and install the current numpy.
I created a record array (from strings and floats) with no dtype defined as:
ra = np.core.records.fromrecords(sq_list, names=(a, b, c))
ra.a is found to be of type numpy.float64, when I serialize it using pyamf
under Mac OS X it works great but under ubuntu 10.04 it fails. Looks like
On 06/14/2010 08:10 AM, Vincent Davis wrote:
I kinda get that, I posted on the nose list ask what source/version to
install. I installed the most recent.
They have a special branch for py3k support, I think you have to use that,
cheers,
David
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On Sun, Jun 13, 2010 at 19:52, Vishal Rana ranavis...@gmail.com wrote:
I created a record array (from strings and floats) with no dtype defined as:
ra = np.core.records.fromrecords(sq_list, names=(a, b, c))
ra.a is found to be of type numpy.float64, when I serialize it using pyamf
under Mac OS
Robert,
There is no error on python side but on flex client which is *Channel*.*
Call*.*Failed* faultDetail=NetConnection.Call.Failed: *HTTP*: Status 503
Here is the documentation for type mapping flex vs python:
http://pyamf.org/architecture/typemap.html, pyamf takes python data types so
I am
On Sun, Jun 13, 2010 at 20:10, Vishal Rana ranavis...@gmail.com wrote:
Robert,
There is no error on python side but on flex client which
is Channel.Call.Failed faultDetail=NetConnection.Call.Failed: HTTP:
Status 503
Here is the documentation for type mapping flex vs
python:
On 06/14/2010 10:23 AM, Jarl Haggerty wrote:
Does anyone have any interest in a port of numpy to jython?
I am insterested, and I think interest is growing thanks to the cloud
computing fad, since a lot of this instrastructure is based on java
(hadoop, hbase, cassandra to name a few). Being
On Sun, Jun 13, 2010 at 20:58, David da...@silveregg.co.jp wrote:
On 06/14/2010 10:23 AM, Jarl Haggerty wrote:
Does anyone have any interest in a port of numpy to jython?
I am insterested, and I think interest is growing thanks to the cloud
computing fad, since a lot of this instrastructure
Thanks Robert, it worked.
On Sun, Jun 13, 2010 at 6:23 PM, Robert Kern robert.k...@gmail.com wrote:
On Sun, Jun 13, 2010 at 20:10, Vishal Rana ranavis...@gmail.com wrote:
Robert,
There is no error on python side but on flex client which
is Channel.Call.Failed
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