Hello!
The Python core developers are currently working on several improvements
for floats and the math module. Since you are power users I like to
get your opinion and suggestions on several patches:
http://bugs.python.org/issue1534 -- sys.float_info [done]
http://bugs.python.org/issue1580 --
Matthieu Brucher wrote:
When Visual Studio 2008 will be used, there might be a way of using the
manifest files (that were created for a similar purpose).
For the moment, All I know is that you must put the dll in the
Windows/system32 folder or somewhere in the PATH.
That's not enough for some
David Cournapeau wrote:
Do you have a link to the related python ML discussion by any chance ?
No, I'm sorry. It was a private chat between between Guido, Martin and
me during the release phase of Python 3.0a2.
The MSDN website has some articles about SxS DLLs though. I had to read
about ten
Stuart Brorson wrote:
I have been poking at the limits of NumPy's handling of powers of
zero. I find some results which are disturbing, at least to me.
Here they are:
[SNIPP]
Please checkout Mark Dickinson's and my trunk-math branch of Python 2.6.
We have put lots of effort into fixing edge
Stuart Brorson wrote:
math.pow(0, -1)
Traceback (most recent call last):
File stdin, line 1, in module
ValueError: math domain error
Why isn't this one inf?
The standard says return inf and raise a divide-by-zero floating point
exception. Since we can't do both in Python we sticked to the
Matthieu Brucher schrieb:
Hi,
As I've said, you must start by compiling Python with VC++ 8, that means
using the 2.6 alpha.
Negative Houston
Python 2.6 and 3.0 are using VS 2008 aka VC 9.0
Christian
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Robin schrieb:
If I try to allocate something too big for the available memory I
often get a MemoryError exception. However, in other situations,
Python memory use continues to grow until the machine falls over. I
was hoping to understand the difference between those cases. From what
I've
Stuart Brorson schrieb:
Hi --
Sorry to be a pest with corner cases, but I found another one.
[...]
Mark and I spent a *lot* of time in fixing those edge cases in Python
2.6 and 3.0. We used the C99 standard as template. I recommend that you
look at our code.
Christian
Robert Kern wrote:
I think you could make the dictionary created lazily on the first getattr().
In order to make it work you have to reserve space for a PyObject*
pointer for the instance dict somewhere in your type definition. It's
going to increase the size of every object by 4 bytes on a
Robert Kern wrote:
Yes, we know that. The concern I was addressing was the time overhead
for creating the new dict object every time an ndarray gets
instantiated. Most of these dict objects would be unused, so we would
be wasting a substantial amount of time. If you push off the creation
of
David Cournapeau wrote:
The current trunk has 14 failures on windows (with mingw). 12 of them
are related to C99 (see ticket 869). Can the people involved in recent
changes to complex functions take a look at it ? I think this is high
priority for 1.2.0
I'm asking just out of curiosity. Why
Charles R Harris wrote:
I believe C99 was used as a guide to how complex corner cases involving
+/-0, +/-inf, etc. should behave. However, it doesn't look possible to make
that behaviour portable without a lot of work and it probably isn't worth
the trouble. At the moment the failing tests
Pauli Virtanen wrote:
To clarify this again: *no* features of C99 were used. The C99 specs were
only used as a guideline to what behavior we want of complex math
functions, and I wrote tests for this, and marked failing ones as skipped.
Got it.
However, it turned out that different tests
Andrew Dalke wrote:
Or write B \circledast C ? (Or \oast?) Try using Google to search
for that character.
unicodedata.lookup('CIRCLED ASTERISK OPERATOR')
'⊛'
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Ondrej Certik wrote:
Ok, in the current state, you don't know either what's going to
happen. If you write
In [1]: x/2*3/4
you have no idea what the result is going to be, you need to analyze
x.__div__() and start from there. But if you write
In [2]: 1/2*3/4
currently you know it
Andrew Dalke wrote:
When would this with float ... considered valid?
[long posting]
Oh h... what have I done ... *g*
Slow down, please. For now there are no concrete plans what-so-ever to
implement the feature in the near future. Some developers have expressed
their interest in a way to
Ondrej Certik wrote:
Are we able to provide an actual patch to Python that implements this?
If so, then I am.
Imho the proposal should come with an actual patch, otherwise it's
difficult to judge it.
Your better off with writing a PEP first. In order to implement the
proposal you've to make
Andrew Dalke wrote:
There are a few things that Python-the-language guarantees are singleton
objects which can be compared correctly with is. Those are:
True, False, None
The empty tuple () and all interned strings are also guaranteed to be
singletons. String interning is used to
David Cournapeau schrieb:
Do you only need numpy or also scipy ? If you only need numpy, it is
relatively straightforward because you don't need BLAS/LAPACK nor any
fortran compiler. You should use the Visual Studio compiler, though: VS
2005 for python 2.5 or VS 2008 for python 2.6 - mingw
David Cournapeau wrote:
It is said in the email that this is reserved to the python project, and
prominent python projects like Twisted and Django. Would it be ok to try
to be qualified as a prominent python project as well ?
Give it some time. Nobody - not even the Python core devs - have
David Cournapeau wrote:
No, and it never will. Parallel builds requires to build with
dependency handling. Even make does not handle it well: it works most
of the time by accident, but there are numerous problems (try for
example building lapack with make -j8 on your 8 cores machine - it
will
Darren Dale wrote:
I'm not a core numpy developer and don't want to step on anybody's
toes here. But I was wondering if anyone had considered approaching
the Python Software Foundation about support to help get numpy working
with python-3?
What kind of support are you talking about?
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