Hello All,
The semantics of this seem quite insane to me:
In [1]: import numpy as np
In [2]: import collections
In [4]: isinstance(np.arange(5), collections.Sequence)
Out[4]: False
In [6]: np.version.full_version
Out[6]: '1.9.0.dev-eb40f65'
Is there any possibility that ndarray could inherit
On Thu, Feb 27, 2014 at 6:11 PM, Alan G Isaac wrote:
> I have a bincount array `cts`.
> I'd like to produce any one array `a` such that `cts==np.bincounts(a)`.
> Easy to do in a loop, but does NumPy offer a better (i.e., faster) way?
>
>>> cts = np.bincount([1,1,2,3,4,4,6])
>>> np.repeat(np.aran
I have a bincount array `cts`.
I'd like to produce any one array `a` such that `cts==np.bincounts(a)`.
Easy to do in a loop, but does NumPy offer a better (i.e., faster) way?
Thanks,
Alan Isaac
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hi,
We want to start preparing the release candidate for the bugfix release
1.8.1rc1 this weekend, I'll start preparing the changelog tomorrow.
So if you want a certain issue fixed please scream now or better create
a pull request/patch on the maintenance/1.8.x branch.
Please only consider bugfix
Since there was opposition to just removing the output all the time, I've
added a new parameter, 'verbosity' that can be set to 0 to hide the
output. This unfortunately requires a bit of code churn and changes the
interface to get_info() (but in a backwards-compatible way).
I came up with anothe
Eelco Hoogendoorn writes:
> That is good to know. The boost documentation makes it appear as if bjam is
> the only way to build boost.python, but good to see examples to the
> contrary!
Quite. I really wish they would officially adopt something more
sensible, but in the meantime, using alternativ
That is good to know. The boost documentation makes it appear as if bjam is
the only way to build boost.python, but good to see examples to the
contrary!
On Thu, Feb 27, 2014 at 2:19 PM, Toby St Clere Smithe <
pyvienn...@tsmithe.net> wrote:
> Eelco Hoogendoorn writes:
> > I have a file numpy_bo
Eelco Hoogendoorn writes:
> I have a file numpy_boost_python.hpp in one of my projects by Michael
> Droettboom (can seem to find an online source anymore!), which adds
> mappings between numpy.ndarray and boost.ndarray, which is very neat
> and seemless. But like boost.python, it tightly couples w
I have a file numpy_boost_python.hpp in one of my projects by Michael
Droettboom (can seem to find an online source anymore!), which adds
mappings between numpy.ndarray and boost.ndarray, which is very neat
and seemless. But like boost.python, it tightly couples with the
clusterfuck that is bjam. H
On Thu, Feb 27, 2014 at 1:51 AM, Eelco Hoogendoorn <
hoogendoorn.ee...@gmail.com> wrote:
> Thanks for the heads up, I wasn't aware of this project. While
> boost.python is a very nice package, its distributability is nothing short
> of nonexistent, so its great to have a pure python binding genera
Hi!
(I was contacted about this off-list, but thought it might be worth it
to document this on-list)
I don't remember ever running into problems while using ACML in my numpy
installs. However I never ran the whole test-suite, and I never used
np.einsum (or complex numbers) in my own code. Al
Eelco Hoogendoorn writes:
> I have; but if I recall correctly, it does not solve the problem of
> distributing code that uses it, or does it?
Indeed not. But the Boost licence is very liberal, so I just link it
statically; for source distributions, I just ship a minimal copy of the
Boost sources
I have; but if I recall correctly, it does not solve the problem of
distributing code that uses it, or does it?
On Thu, Feb 27, 2014 at 10:51 AM, Toby St Clere Smithe <
pyvienn...@tsmithe.net> wrote:
> Hi,
>
> Eelco Hoogendoorn writes:
> > Thanks for the heads up, I wasn't aware of this project
Hi,
Eelco Hoogendoorn writes:
> Thanks for the heads up, I wasn't aware of this project. While boost.python
> is a very nice package, its distributability is nothing short of
> nonexistent, so its great to have a pure python binding generator.
>
> One thing which I have often found frustrating is
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