On 4 Mar 2013 23:21, "Jaime Fernández del Río" wrote:
>
> On Mon, Mar 4, 2013 at 2:29 PM, Todd wrote:
>>
>>
>> 5. Currently dtypes are limited to a set of fixed types, or combinations
of these types. You can't have, say, a 48 bit float or a 1-bit bool. This
project would be to allow users to cr
On Tue, Mar 5, 2013 at 1:45 AM, Eric Firing wrote:
> On 2013/03/04 9:01 PM, Nicolas Rougier wrote:
>>> >This made me think of a serious performance limitation of structured
>>> >dtypes: a
>>> >structured dtype is always "packed", which may lead to terrible byte
>>> >alignment
>>> >for common typ
>> 5. Currently dtypes are limited to a set of fixed types, or combinations
>> of these types. You can't have, say, a 48 bit float or a 1-bit bool. This
>> project would be to allow users to create entirely new, non-standard dtypes
>> based on simple rules, such as specifying the length of the si
On Tue, Mar 5, 2013 at 2:58 PM, Gergely Buday wrote:
> Hi there,
>
> I try to compile a program developed with scipy. It is installed on my
> Ubuntu 12.04 box but upon make I get:
>
> Traceback (most recent call last):
> File "/usr/local/bin/f2py", line 4, in
> f2py2e.main()
> File "/usr/
Hey Gergely,
On my box, the fcompiler module is in numpy.distutils, so
import numpy.distutils.fcompiler
works for me at least!
Eirik
On 05. mars 2013 14:58, Gergely Buday wrote:
> Hi there,
>
> I try to compile a program developed with scipy. It is installed on my
> Ubuntu 12.04 box but upon m
Jaime,
If you are going to work on this, you should also take a look at the recent
thread
http://mail.scipy.org/pipermail/numpy-discussion/2013-February/065649.html,
which is about the weighting function, which is in a confused state in the
current version of polyfit. By the way, Numerical Recipe
Hi there,
I try to compile a program developed with scipy. It is installed on my
Ubuntu 12.04 box but upon make I get:
Traceback (most recent call last):
File "/usr/local/bin/f2py", line 4, in
f2py2e.main()
File "/usr/local/lib/python2.7/dist-packages/f2py2e/f2py2e.py", line
677, in main
The ticket https://github.com/numpy/numpy/issues/2269 discusses the
possibility of implementing a "find first" style function which can
optimise the process of finding the first value(s) which match a predicate
in a given 1D array. For example:
>>> a = np.sin(np.linspace(0, np.pi, 200))
>>> print
On Tue, Mar 5, 2013 at 6:23 AM, Charles R Harris
wrote:
>
>
> On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
> jaime.f...@gmail.com> wrote:
>
>> On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>> There are actually seven versions of polyn
On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>> There are actually seven versions of polynomial fit, two for the usual
>> polynomial basis, and one each for Lege
On Tue, Mar 5, 2013 at 6:34 AM, Charles R Harris
wrote:
> I note that the way to access it is to run python setup.py with no
> arguments. I wonder what the proper message should be in that case?
Just let distutils handle it.
$ python setup.py
usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2
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