I'm using gcc version 4.9.3.
On Saturday, August 15, 2015 at 11:15:31 PM UTC-7, François wrote:
>
> Only thing I can think of that would be useful to know is the version of
> gcc used.
>
> François
>
>
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Only thing I can think of that would be useful to know is the version of gcc
used.
François
> On 16/08/2015, at 18:10, Travis Scrimshaw wrote:
>
> Okay, now I'm getting this error:
>
> [ 2/302] gcc -I/usr/include/ncurses -fno-strict-aliasing -g -O2 -DNDEBUG -g
> -fwrapv -O3 -Wall -I/home/Tr
Okay, now I'm getting this error:
[ 2/302] gcc -I/usr/include/ncurses -fno-strict-aliasing -g -O2 -DNDEBUG -g
-fwrapv -O3 -Wall -I/home/Travis/sage/local/include -I/home/Travis/sage/
local/include/python2.7 -I/home/Travis/sage/local/lib/python2.7/site-
packages/numpy/core/include -I/home/Travis/
I explicitly added a link to NTL in module_list.py and this seemed to fix
the problem. This is now http://trac.sagemath.org/ticket/19039.
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Hey all,
Once again I'm trying to get Sage to build on Cygwin, and I'm very
pleasantly surprised to see that I got very far in compiling out-of-the-box
with #18996 (which is positively reviewed) and #18927. However I get the
following error:
Executing 383 commands (using 1 thread)
[ 1/383]
FYI for those who like to answer these things:
http://stackoverflow.com/questions/32030633/using-sages-save-and-load-methods-leads-to-high-memory-usage
Notice also the question "(is there a better way to look how the sage is
using the memory?)" which I believe is quite possible using standard Pyth
On Thu, Jun 11, 2015 at 1:24 PM, David Perkinson wrote:
> Yes, I think it will be much more efficient to address these changes all at
> once. I would really prefer that, if possible.
>
I downloaded the code as a tarball and "manually" installed it (as
opposed to using git).
I didn't find any pr
On Sat, 15 Aug 2015, Nathann Cohen wrote:
For example centrality_degree on graphs return Sage rational, not
machine float.
Rational version is mostly useless, given that it is way way way
slower than the other one - -
What about teaching or learning purposes?
* * *
Not relating only to t
On Sat, 15 Aug 2015, Nathann Cohen wrote:
Or else I haven't understood when exactly we are supposed to return
Integer objects.
How about "If in doubt, return Integer. Otherwise explain."?
I think that the reason for returning a single int or double can be
efficiency. In reality it of course
I can see reasons why adding a doctest might not be necessary, but... is
there any reason why it would be counter-productive?
I mean, if the worst thing that can happen for adding the doctest is that
the source code becomes four lines longer just doctest it and be done.
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On Saturday, August 15, 2015 at 7:27:17 PM UTC+2, Jeroen Demeyer wrote:
>
> * Do not make a function/method "cdef" unless there is a specific
> reason, for example performance or a need of C calling convention.
>
+1
* In general I don't think that the "100% coverage rule" should be taken
> to
Two orthogonal comments:
* Do not make a function/method "cdef" unless there is a specific
reason, for example performance or a need of C calling convention.
* In general I don't think that the "100% coverage rule" should be taken
too literal. I think it's more important that code is well tes
> You are not fair. You changed the specification of the function from
> returning rationals to floats. And then, I complained that rationals are
> exact and the function was not taking care of error propagation when doing
> floating point operations.
O_o
It's hardly the place to debate this, but
On 15/08/15 18:45, Nathann Cohen wrote:
What functions return for example python double?
The MixedIntegerLinearProgram code, for instance. And probably many
others. Either way, if you want to prevent functions from returning
'int', I don't get why you would allow float/double. That would be
ver
> What functions return for example python double?
The MixedIntegerLinearProgram code, for instance. And probably many
others. Either way, if you want to prevent functions from returning
'int', I don't get why you would allow float/double. That would be
very surprising.
> For example
> centrality
On Sat, 15 Aug 2015, Nathann Cohen wrote:
Are we heading toward a special role of 'int' in Sage? Why aren't all
python types like long/float/double considered similarly? How is that
justified?
What functions return for example python double? For example
centrality_degree on graphs return Sag
>
> 1) We should add some words about int vs. Integer on developer manual.
>
Are we heading toward a special role of 'int' in Sage? Why aren't all
python types like long/float/double considered similarly? How is that
justified?
I don't understand this apparent obsession with 'int' over all ty
1) We should add some words about int vs. Integer on developer manual.
2) I suggest NOT explicitly saying that the function has no arguments at
all; it should be clear from the function prototype. See
http://trac.sagemath.org/ticket/17693 comment 16 which refers to
developer manual. And is it
On Saturday, 15 August 2015 01:30:18 UTC-7, Volker Braun wrote:
>
> There isn't really enough data to decide.
>
> As I tried to explain, pasting the code of helper() into A and into B
would lead to two
sufficiently doctested functions.
The decision to make helper() a separate function is merely
Hello,
As mentioned by Søren on ask [1] the subs method of matrices behave
differently than the subs method on coefficients
sage: R. = PolynomialRing(ZZ)
sage: m = matrix(R, [[x]])
sage: x.subs(3).parent() # parent *does* change
Integer Ring
sage: m.subs(3).parent() # parent *doe
There isn't really enough data to decide.
* Does testing A and B provide full coverage of the helper?
* Is the helper performance-critical?
* Do you need Cython?
* If no, why is the code in that module at all? Source files in Sage are
almost always too long to comfortably read, the default sh
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