py's code to rip out its floating
>>point error handling, knock yourself out. It's not going to be trivial,
>>though.
>>It's heavily embedded in the ufunc machinery.
>
> Does numpy's NaN handling only work within numpy functions, or
> does it enable HW
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
knock yourself out. It's not going to be trivial,
> though.
> It's heavily embedded in the ufunc machinery.
Does numpy's NaN handling only work within numpy functions, or
does it enable HW FP signals and then catch them for "normal"
floating point opera
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
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 import *
from scipy.stats import *
a=
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