On Wed, Jan 21, 2009 at 10:53 AM, Gideon Simpson
wrote:
> ==
> FAIL: test_umath.TestComplexFunctions.test_against_cmath
> --
> Traceback (most recent call last):
Ryan May wrote:
> Hi,
>
> I'm trying to read in a data from a binary-formatted file. I have the data
> format, (available at:
> http://www1.ncdc.noaa.gov/pub/data/documentlibrary/tddoc/td7000.pdf if you're
> really curious), but it's not what I would consider simple, with a lot of
> different bloc
On Fri, Jan 23, 2009 at 15:31, Ryan May wrote:
> Hi,
>
> I'm trying to read in a data from a binary-formatted file. I have the data
> format, (available at:
> http://www1.ncdc.noaa.gov/pub/data/documentlibrary/tddoc/td7000.pdf if you're
> really curious), but it's not what I would consider simple,
Hi,
I'm trying to read in a data from a binary-formatted file. I have the data
format, (available at:
http://www1.ncdc.noaa.gov/pub/data/documentlibrary/tddoc/td7000.pdf if you're
really curious), but it's not what I would consider simple, with a lot of
different blocks and messages, some that are
Tim Michelsen wrote:
> did you already come to a conclusion regarding this cite topic?
> Did you try to run the bibtext extension for Sphinx?
> If so, please update the documentation guidelines.
I hope we reached agreement that the documentation
should use reST citations and not reST footnotes.
Y
On Wed, Jan 21, 2009 at 1:07 PM, Darren Dale wrote:
>
>
> On Wed, Jan 21, 2009 at 12:26 PM, Pierre GM wrote:
>
>> > I dont understand why __array_priority__ is not being respected
>> > here. Ticket 826 lists the component as numpy.ma, it seems the
>> > problem is in numpy.core. I think the sever
==
Announcing Numexpr 1.1.1
==
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.
This is a bug-fi
Hi Tim
2009/1/22 Tim Michelsen :
> did you already come to a conclusion regarding this cite topic?
>
> Did you try to run the bibtext extension for Sphinx?
I haven't tried it. One difficulty is that each docstring needs to be
self-contained, i.e., it must include its own references. If you want
Hello Allan, Stefan and others,
did you already come to a conclusion regarding this cite topic?
Did you try to run the bibtext extension for Sphinx?
If so, please update the documentation guidelines.
Regards,
Timmie
___
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N
On Thu, Jan 22, 2009 at 17:09, Wes McKinney wrote:
> Windows XP, Pentium D, Python 2.5.2
I can replicate the negative numbers on my Windows VM. I'll take a look at it.
Wrote profile results to foo.py.lprof
Timer unit: 4.17601e-010 s
File: foo.py
Function: f at line 1
Total time: -3.02963 s
Lin
On Fri, Jan 23, 2009 at 02:10, V. Armando Sole wrote:
> At 01:44 23/01/2009 -0600, Robert Kern wrote:
>>It is an inevitable consequence of several features interacting
>>together. Basically, Python expands "a[b] += 1" into this:
>>
>> c = a[b]
>> d = c.__iadd__(1)
>> a[b] = d
>>
>>Basically,
At 01:44 23/01/2009 -0600, Robert Kern wrote:
>It is an inevitable consequence of several features interacting
>together. Basically, Python expands "a[b] += 1" into this:
>
> c = a[b]
> d = c.__iadd__(1)
> a[b] = d
>
>Basically, the array c doesn't know that it was created by indexing a,
>so
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