Grant Edwards wrote:
> On 2006-05-06, Robert Kern <[EMAIL PROTECTED]> wrote:
>
>Since numpy seems to be working on a variety of platforms/hardware,
>how hard would it be to extract this functionality from it to add to
>Python proper?
Harder than just enabling fpectl.
>>>
>>>
On 2006-05-06, Terry Reedy <[EMAIL PROTECTED]> wrote:
>> That's Python 2.4.1 on Mac OS X.
>
float("NaN")
>
> Traceback (most recent call last):
> File "", line 1, in -toplevel-
> float("NaN")
> ValueError: invalid literal for float(): NaN
>
> As Tim Peters has said often enough, this so
On 2006-05-06, Robert Kern <[EMAIL PROTECTED]> wrote:
Since numpy seems to be working on a variety of platforms/hardware,
how hard would it be to extract this functionality from it to add to
Python proper?
>>>
>>>Harder than just enabling fpectl.
>>
>> Last thing I heard fpectl was
Alexander Schmolck wrote:
> Robert Kern <[EMAIL PROTECTED]> writes:
>>Ivan Vinogradov wrote:
>>>Since numpy seems to be working on a variety of platforms/hardware,
>>>how hard would it be to extract this functionality from it to add to
>>>Python proper?
>>
>>Harder than just enabling fpectl.
>
Felipe Almeida Lessa wrote:
> Em Sex, 2006-05-05 às 16:37 -0400, Ivan Vinogradov escreveu:
>
>>This works to catch NaN on OSX and Linux:
>>
>># assuming x is a number
>>if x+1==x or x!=x:
>> #x is NaN
>
> This works everywhere:
>
> nan = float('nan')
Have you tried it on Windows?
--
Robe
"Ryan Forsythe" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> Terry Reedy wrote:
>> "Felipe Almeida Lessa" <[EMAIL PROTECTED]> wrote in message
>> news:[EMAIL PROTECTED]
>>> This works everywhere:
>>>
>>> nan = float('nan')
>>
>> Not.
>>
> nan = float('nan')
>>
>> Traceback (m
Terry Reedy wrote:
> "Felipe Almeida Lessa" <[EMAIL PROTECTED]> wrote in message
> news:[EMAIL PROTECTED]
>> This works everywhere:
>>
>> nan = float('nan')
>
> Not.
>
nan = float('nan')
>
> Traceback (most recent call last):
> File "", line 1, in -toplevel-
> nan = float('nan')
> Va
"Felipe Almeida Lessa" <[EMAIL PROTECTED]> wrote in message
news:[EMAIL PROTECTED]
> This works everywhere:
>
> nan = float('nan')
Not.
>>> nan = float('nan')
Traceback (most recent call last):
File "", line 1, in -toplevel-
nan = float('nan')
ValueError: invalid literal for float(): nan
Felipe Almeida Lessa <[EMAIL PROTECTED]> writes:
> Em Sex, 2006-05-05 às 16:37 -0400, Ivan Vinogradov escreveu:
> > This works to catch NaN on OSX and Linux:
> >
> > # assuming x is a number
> > if x+1==x or x!=x:
> > #x is NaN
>
> This works everywhere:
>
> nan = float('nan')
>
> .
> .
>
Em Sex, 2006-05-05 às 16:37 -0400, Ivan Vinogradov escreveu:
> This works to catch NaN on OSX and Linux:
>
> # assuming x is a number
> if x+1==x or x!=x:
> #x is NaN
This works everywhere:
nan = float('nan')
.
.
.
if x == nan:
# x is not a number
--
Felipe.
--
http://mail.python
Robert Kern <[EMAIL PROTECTED]> writes:
> Ivan Vinogradov wrote:
>
> > It doesn't seem to be here under OSX either (universal Python install).
>
> It's not enabled by default. In the source distribution, it is
> Modules/fpectlmodule.c .
>
> > Since numpy seems to be working on a variety of plat
Ivan Vinogradov wrote:
> >
> > NaNs are handled.
>
> Throwing an exception would be nice in regular Python (non-scipy).
>
> This works to catch NaN on OSX and Linux:
>
> # assuming x is a number
> if x+1==x or x!=x:
> #x is NaN
x != x works, but:
>>> x = 1e100
>>> x + 1 == x
True
--
http
Ivan Vinogradov wrote:
> It doesn't seem to be here under OSX either (universal Python install).
It's not enabled by default. In the source distribution, it is
Modules/fpectlmodule.c .
> Since numpy seems to be working on a variety of platforms/hardware,
> how hard would it be to extract this fu
On 5-May-06, at 6:45 PM, Grant Edwards wrote:
> On 2006-05-05, Robert Kern <[EMAIL PROTECTED]> wrote:
>
>>> Our programming expectations may differ, but an option to catch
>>> NaNs as
>>> an exception is a great idea.
>>
> [...]
>
>> Pure Python has a similar, but somewhat less flexible method,
Grant Edwards wrote:
> On 2006-05-05, Robert Kern <[EMAIL PROTECTED]> wrote:
>>Pure Python has a similar, but somewhat less flexible method, on UNIX
>>platforms.
>>
>> http://docs.python.org/dev/lib/module-fpectl.html
>
> For which "Unix" platforms? It's not there under Linux:
>
> Python 2.4.
On 2006-05-05, Robert Kern <[EMAIL PROTECTED]> wrote:
>> Our programming expectations may differ, but an option to catch NaNs as
>> an exception is a great idea.
>
[...]
> Pure Python has a similar, but somewhat less flexible method, on UNIX
> platforms.
>
> http://docs.python.org/dev/lib/modu
On 2006-05-05, Ivan Vinogradov <[EMAIL PROTECTED]> wrote:
>>
>> There are those of us that need NaNs in production code, so it
>> would have to be something that could be configured. I find
>> that in my programs the places where I need to do something
>> "exceptional" with a NaN are very limited
Ivan Vinogradov wrote:
>>
>>There are those of us that need NaNs in production code, so it
>>would have to be something that could be configured. I find
>>that in my programs the places where I need to do something
>>"exceptional" with a NaN are very limited. The vast majority
>>of the time, I ne
>
> There are those of us that need NaNs in production code, so it
> would have to be something that could be configured. I find
> that in my programs the places where I need to do something
> "exceptional" with a NaN are very limited. The vast majority
> of the time, I need them to propagate qu
On 2006-05-05, Ivan Vinogradov <[EMAIL PROTECTED]> wrote:
>
>>
>> NaNs are handled.
>
> Throwing an exception would be nice in regular Python (non-scipy).
That would break most of my Python programs (at least most of
the ones in which I do floating point). My main problem with
NaNs (and Infs) is
>
> NaNs are handled.
Throwing an exception would be nice in regular Python (non-scipy).
This works to catch NaN on OSX and Linux:
# assuming x is a number
if x+1==x or x!=x:
#x is NaN
But is expensive as a precautionary measure.
Assert can be used for testing, if production code can
On 2006-05-03, Andy McDonagh <[EMAIL PROTECTED]> wrote:
> Dear python experts,
>
> I am new to python and this site, so I apologize if this is off topic (i.e.
> is it a SciPy question?). I will try to demonstrate my problem below:
>
> #!/usr
Andy McDonagh wrote:
> Dear python experts,
>
> I am new to python and this site, so I apologize if this is off topic (i.e.
> is it a SciPy question?). I will try to demonstrate my problem below:
>
> #!/usr/local/bin/python
>
> from scipy
23 matches
Mail list logo
