On Nov 2, 2007, at 12:22 PM, Carl Witty wrote:
> On Nov 2, 11:25 am, Robert Bradshaw <[EMAIL PROTECTED]>
> wrote:
>> :-(, but I have to concede to your logic. The line to change is 148
>> of coerce.pxi. Setting this value to 0 will turn them completely off.
>> Other than numpy, (and the builtin l
On Nov 2, 8:25 pm, "William Stein" <[EMAIL PROTECTED]> wrote:
> On 11/2/07, Carl Witty <[EMAIL PROTECTED]> wrote:
>
>
>
> > On Nov 2, 11:25 am, Robert Bradshaw <[EMAIL PROTECTED]>
> > wrote:
> > > :-(, but I have to concede to your logic. The line to change is 148
> > > of coerce.pxi. Setting th
On 11/2/07, Carl Witty <[EMAIL PROTECTED]> wrote:
> On Nov 2, 11:25 am, Robert Bradshaw <[EMAIL PROTECTED]>
> wrote:
> > :-(, but I have to concede to your logic. The line to change is 148
> > of coerce.pxi. Setting this value to 0 will turn them completely off.
> > Other than numpy, (and the buil
On Nov 2, 11:25 am, Robert Bradshaw <[EMAIL PROTECTED]>
wrote:
> :-(, but I have to concede to your logic. The line to change is 148
> of coerce.pxi. Setting this value to 0 will turn them completely off.
> Other than numpy, (and the builtin libraries), do we use any other
> extension types? If th
On Nov 2, 2007, at 10:48 AM, William Stein wrote:
>
> On 11/2/07, Dan Christensen <[EMAIL PROTECTED]> wrote:
>> numpy arrays are extremely flexible, with broadcasting, view
>> semantics
>> and in-place operations being the most important reason why. For
>> example, if x is an array, then x[3:
On 11/2/07, Dan Christensen <[EMAIL PROTECTED]> wrote:
> numpy arrays are extremely flexible, with broadcasting, view semantics
> and in-place operations being the most important reason why. For
> example, if x is an array, then x[3:5] is a view of part of x, and
> I can adjust the entries in jus
Robert Bradshaw <[EMAIL PROTECTED]> writes:
> This is due to the inplace operator stuff using refcounts to
> determine if it's safe to mutate. The simple workaround is to not use
> numpy arrays of SAGE objects. Another question is why would one do so
> (i.e. what is lacking in the SAGE line
On 10/31/07, Robert Bradshaw <[EMAIL PROTECTED]> wrote:
>
> So matplotlib depends on Numpy?
Yes.
> > or uses numerical matrices,
>
> I thought we used GSL as a back end, but does it often fall back to
> Numpy then?
We use both numpy and gsl. Numpy is better for certain things.
> > it is very
On Oct 31, 2007, at 12:22 PM, William Stein wrote:
> On 10/31/07, Robert Bradshaw <[EMAIL PROTECTED]> wrote:
>>> I can think of lots of "solutions", although I don't know which of
>>> them might be worth the effort.
>>>
>>> 1) a global enable/disable
>>> 2) hook into __import__ to notice imports
On 10/31/07, Robert Bradshaw <[EMAIL PROTECTED]> wrote:
> > I can think of lots of "solutions", although I don't know which of
> > them might be worth the effort.
> >
> > 1) a global enable/disable
> > 2) hook into __import__ to notice imports of numpy, and turn off the
> > optimization globally i
On Oct 30, 2007, at 6:29 PM, Carl Witty wrote:
> On Oct 30, 1:48 pm, Robert Bradshaw <[EMAIL PROTECTED]>
> wrote:
>> This is due to the inplace operator stuff using refcounts to
>> determine if it's safe to mutate. The simple workaround is to not use
>> numpy arrays of SAGE objects. Another quest
On Oct 30, 6:29 pm, Carl Witty <[EMAIL PROTECTED]> wrote:
> On Oct 30, 1:48 pm, Robert Bradshaw <[EMAIL PROTECTED]>
> wrote:
>
> > This is due to the inplace operator stuff using refcounts to
> > determine if it's safe to mutate. The simple workaround is to not use
> > numpy arrays of SAGE objects
On Oct 30, 1:48 pm, Robert Bradshaw <[EMAIL PROTECTED]>
wrote:
> This is due to the inplace operator stuff using refcounts to
> determine if it's safe to mutate. The simple workaround is to not use
> numpy arrays of SAGE objects. Another question is why would one do so
> (i.e. what is lacking in t
On Oct 30, 2007, at 1:11 PM, Carl Witty wrote:
> On Tue, 2007-10-30 at 11:24 -0700, Robert Bradshaw wrote:
>> I don't see this one--could you send me a link?
>>
>> I didn't know we used SAGE objects in any numpy classes.
>
> Numpy provides a type of matrices of arbitrary Python objects.
>
> http:
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