Hello,
Over at Python-ideas, there is a thread [0] about the following discrepancy:
numpy.array(float('inf')) // 1
inf
float('inf') // 1
nan
There are reasons for either result, but I believe it would be very
nice if either Python or Numpy changed, so they would give the same
value.
If any of
(Apologies for the lack of subject earlier)
Hello,
Over at Python-ideas, there is a thread [0] about the following discrepancy:
numpy.array(float('inf')) // 1
inf
float('inf') // 1
nan
There are reasons for either result, but I believe it would be very
nice if either Python or Numpy changed,
My vote is that NumPy is correct here. I see no reason why
float('inf') / 1
and
float('inf') // 1
should return different results.
Ben Root
On Thu, Sep 18, 2014 at 12:31 PM, Petr Viktorin encu...@gmail.com wrote:
Hello,
Over at Python-ideas, there is a thread [0] about the following
Sorry for the lack of subject before.
On Thu, Sep 18, 2014 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote:
My vote is that NumPy is correct here. I see no reason why
float('inf') / 1
and
float('inf') // 1
should return different results.
I recommend reading the python-ideas thread; there
Well,
First of all, numpy and the python math module have a number of differences
when it comes to handling these kind of special cases -- and I think that:
1) numpy needs to do what makes the most sense for numpy and NOT mirror the
math lib.
2) the use-cases of the math lib and numpy are
On Thu, 2014-09-18 at 18:55 +0200, Petr Viktorin wrote:
Sorry for the lack of subject before.
On Thu, Sep 18, 2014 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote:
My vote is that NumPy is correct here. I see no reason why
float('inf') / 1
and
float('inf') // 1
Didn't read python
On 09/18/2014 12:01 PM, Chris Barker wrote:
Well,
First of all, numpy and the python math module have a number of
differences when it comes to handling these kind of special cases --
and I think that:
1) numpy needs to do what makes the most sense for numpy and NOT
mirror the math lib.
On Thu, Sep 18, 2014 at 7:14 PM, Jonathan Helmus jjhel...@gmail.com wrote:
On 09/18/2014 12:01 PM, Chris Barker wrote:
Well,
First of all, numpy and the python math module have a number of differences
when it comes to handling these kind of special cases -- and I think that:
1) numpy needs
On Thu, Sep 18, 2014 at 10:44 AM, Petr Viktorin encu...@gmail.com wrote:
2) the use-cases of the math lib and numpy are different, so they maybe
_should_ have different handling of this kind of thing.
If you have a reason for the difference, I'd like to hear it.
For one, numpy does array
On Do, 2014-09-18 at 19:13 +0200, Sebastian Berg wrote:
On Thu, 2014-09-18 at 18:55 +0200, Petr Viktorin wrote:
Sorry for the lack of subject before.
On Thu, Sep 18, 2014 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote:
My vote is that NumPy is correct here. I see no reason why
On 09/18/2014 12:44 PM, Petr Viktorin wrote:
On Thu, Sep 18, 2014 at 7:14 PM, Jonathan Helmus jjhel...@gmail.com wrote:
On 09/18/2014 12:01 PM, Chris Barker wrote:
Well,
First of all, numpy and the python math module have a number of differences
when it comes to handling these kind of
On Thu, Sep 18, 2014 at 1:30 PM, Jonathan Helmus jjhel...@gmail.com wrote:
On 09/18/2014 12:44 PM, Petr Viktorin wrote:
On Thu, Sep 18, 2014 at 7:14 PM, Jonathan Helmus jjhel...@gmail.com
wrote:
On 09/18/2014 12:01 PM, Chris Barker wrote:
Well,
First of all, numpy and the python
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