Hello Sherjil,
Sorry for the misunderstanding, it isn't a line of code but latex math
expression (or at least supposed to be :-))
An example (in latex syntax) would be:
\partial(X^{-1}) = - X^{-1}(\partial X ) X^{-1}
Thanks,
Amit
On Jun 30, 9:21 am, SherjilOzair wrote:
> Hello Amit,
> The line
Hello Aaron,
Thanks for pointing out this thread (I did search the group but missed
it):
http://groups.google.com/group/sympy/browse_thread/thread/7a4ab2af17b3c10d/90ba1a6bebb59eb9
I am talking about a similar idea but I am looking also for calculus
operations like differentiation.
Thanks,
Amit
Hi,
I am not familiar with the internals of sympy. But I suggest that if
you start working on the implementation of symbolic matrices, you
should take into consideration more complicated operators like
differentiation.
'The Matrix Cookbook' has many matrix equalities that maybe can be
implemented
By the way, if you don't actually need any specific attributes of
matrices other than non-commutativity (and you're assuming everything
is square n x n), you can already do this in SymPy:
In [10]: a, b = symbols('a b', commutative=False)
In [15]: diff(f(a)*g(a), a)
Out[15]:
d d
f(a)
As I pointed out in the other thread, non-commutative differentiation
already works in SymPy, so doing this should not be difficult.
Aaron Meurer
On Thu, Jun 30, 2011 at 1:58 AM, Amit wrote:
> Hi,
>
> I am not familiar with the internals of sympy. But I suggest that if
> you start working on the
Differentiation would only work with a scalar (communicative)
differentiation operator. If the matrix function is a function of a
vector or matrix one would have to define the directional derivative for
each case (which would be a scalar differential operator) and use the
results of that opera
I agree that support for derivatives on matrices is important; I would like
this myself. I haven't thought much about it in the context of SymPy before
though so thank you for bringing it up.
I haven't solidified my understanding of this problem but it seems like
there are a few concepts of a deri
Thanks for the details. The link is
http://blip.tv/pycon-us-videos-2009-2010-2011/pycon-2011-the-data-structures-of-python-4898160
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Ok, that make sense, thanks for the quick reply!
Adam
On Jun 29, 12:16 pm, Mateusz Paprocki wrote:
> Hi,
>
> On 29 June 2011 18:53, Adam Moore wrote:
>
> > Ok, so I've been trying to understand how SmyPy performs basic
> > simplification. I've traced through to when __add__(self, other) is
> >
On Thu, Jun 30, 2011 at 7:17 AM, Matthew Rocklin wrote:
> I agree that support for derivatives on matrices is important; I would like
> this myself. I haven't thought much about it in the context of SymPy before
> though so thank you for bringing it up.
> I haven't solidified my understanding of t
Where is the best place to read about the new assumptions system?
On Thu, Jun 30, 2011 at 1:18 PM, Aaron Meurer wrote:
> On Thu, Jun 30, 2011 at 7:17 AM, Matthew Rocklin
> wrote:
> > I agree that support for derivatives on matrices is important; I would
> like
> > this myself. I haven't thought
Le jeudi 30 juin 2011 à 13:25 -0500, Matthew Rocklin a écrit :
> Where is the best place to read about the new assumptions system?
I'm afraid that the best place is the source code in sympy/assumptions/.
I'm not aware of any comprehensive and current write-up on the new
assumptions.
>
> On Thu, J
My understanding is that I can either use abstract base classes or
maintaining 2.5 compatibility. I assume 2.5 takes precedence.
What should I do with this branch?
On Thu, Jun 30, 2011 at 8:40 AM, Chris Smith wrote:
> Thanks for the details. The link is
>
>
> http://blip.tv/pycon-us-videos-2009
Hi everyone,
For a part of my project I tried using pattern matching with .match and
Wild, as described here
http://docs.sympy.org/0.7.0/tutorial.html#pattern-matching, to match some
instances of a class I am working on, however it does not currently work as
I'd hoped in trying to match objects of
I had a quick look at it. I think it goes down better than sympy-0.6.7,
there are a few minor doctests to fix (some answers are now x+2 instead of
2+x) but some code in sage needs adjusting before we ship:
File "/usr/share/sage/devel/sage-main/sage/calculus/test_sympy.py", line
294, in __main__.
I assume you mean doctests in sage. If you're referring to a doctest
in SymPy, please point it out to us, as to our knowledge there are
none in the release.
And let us know if it's necessary to patch SymPy, so we can fix it upstream.
Oh, and I happen to know that Sage uses symbols(each_char=Fals
Oh, and if this version works better in Sage than the previous one,
it's because we actually ran the Sage tests before releasing this time
:) (there were a ton of errors, many existing before the previous
release or two).
Aaron Meurer
On Thu, Jun 30, 2011 at 4:44 PM, Aaron Meurer wrote:
> I assu
> I assume you mean doctests in sage. If you're referring to a doctest
> in SymPy, please point it out to us, as to our knowledge there are
> none in the release.
>
I meant in sage. No issue in sympy. sympy-0.6.6 works fine with sage,
0.6.7 doesn't and the stuff that I pasted is the only thing o
There's some info at http://docs.sympy.org/0.7.0/modules/assumptions.html.
Aaron Meurer
On Thu, Jun 30, 2011 at 12:35 PM, Ronan Lamy wrote:
> Le jeudi 30 juin 2011 à 13:25 -0500, Matthew Rocklin a écrit :
>> Where is the best place to read about the new assumptions system?
>
> I'm afraid that th
By the way, this is because we (finally) changed the default ordering
in the printer to lexicographic (no more "backwards" 2 + x).
Regarding the test failure, it's a little hard to tell what's going on
from the traceback (and with no knowledge of Sage code), but it's
perhaps caused by the fact tha
> By the way, this is because we (finally) changed the default ordering
> in the printer to lexicographic (no more "backwards" 2 + x).
>
> Regarding the test failure, it's a little hard to tell what's going on
> from the traceback (and with no knowledge of Sage code), but it's
> perhaps caused by
Looking deeper, I think the problem might be with S.NegativeInfinity._sage_:
In [48]: source((-oo)._sage_)
In file: ./sympy/core/numbers.py
def _sage_(self):
import sage.all as sage
#XXX: fixme, this should work:
#return sage.Integer(self[0])/sage.Integer(self[1])
What does your CG subclass from? If it's a Function, I think it
should automatically work, like
In [50]: a = Wild('a')
In [51]: f(1, 2).match(f(a, 2))
Out[51]: {a: 1}
Aaron Meurer
On Thu, Jun 30, 2011 at 3:04 PM, Sean Vig wrote:
> Hi everyone,
> For a part of my project I tried using pattern
Well, you are right that we can't break Python 2.5 compatibility.
However, both abc and collections are written in Python, so we could
copy the necessary code to compatibility.py if necessary. For
example, do
import abc
import _abcoll # The abc collections are actually here
source(abc)
source(_a
> Looking deeper, I think the problem might be with
> S.NegativeInfinity._sage_:
>
> In [48]: source((-oo)._sage_)
> In file: ./sympy/core/numbers.py
> def _sage_(self):
> import sage.all as sage
> #XXX: fixme, this should work:
> #return sage.Integer(self[0])/sage.Inte
On Thu, Jun 30, 2011 at 5:57 PM, Francois Bissey
wrote:
>> Looking deeper, I think the problem might be with
>> S.NegativeInfinity._sage_:
>>
>> In [48]: source((-oo)._sage_)
>> In file: ./sympy/core/numbers.py
>> def _sage_(self):
>> import sage.all as sage
>> #XXX: fixme, thi
> I think I found it:
> class Infinity(RationalConstant):
> __metaclass__ = Singleton
>
> defines
> def _sage_(self):
> import sage.all as sage
> return sage.oo
>
> But:
> class NegativeInfinity(RationalConstant):
> __metaclass__ = Singleton
>
> doesn't have an equiva
CG subclasses from AtomicExpr.
On Thu, Jun 30, 2011 at 18:50, Aaron Meurer wrote:
> What does your CG subclass from? If it's a Function, I think it
> should automatically work, like
>
> In [50]: a = Wild('a')
>
> In [51]: f(1, 2).match(f(a, 2))
> Out[51]: {a: 1}
>
> Aaron Meurer
>
> On Thu, Jun
OK. I will send in a patch to SymPy that fixes this upstream.
Aaron Meurer
On Thu, Jun 30, 2011 at 6:05 PM, Francois Bissey
wrote:
>> I think I found it:
>> class Infinity(RationalConstant):
>> __metaclass__ = Singleton
>>
>> defines
>> def _sage_(self):
>> import sage.all as sa
Le jeudi 30 juin 2011 à 19:12 -0500, Sean Vig a écrit :
> CG subclasses from AtomicExpr.
Why did you choose that? "Atomic" means that it's not made up of other
sympy objects and that methods like .match() will therefore not recurse
inside your object. So if you can derive directly from Expr instea
I guess I didn't know what Atomic meant; thanks for pointing that out, it
works fine now.
Sean
On Thu, Jun 30, 2011 at 19:57, Ronan Lamy wrote:
> Le jeudi 30 juin 2011 à 19:12 -0500, Sean Vig a écrit :
> > CG subclasses from AtomicExpr.
>
> Why did you choose that? "Atomic" means that it's not
See https://github.com/sympy/sympy/pull/474.
Aaron Meurer
On Thu, Jun 30, 2011 at 6:14 PM, Aaron Meurer wrote:
> OK. I will send in a patch to SymPy that fixes this upstream.
>
> Aaron Meurer
>
> On Thu, Jun 30, 2011 at 6:05 PM, Francois Bissey
> wrote:
>>> I think I found it:
>>> class Infini
Hi. I just discovered how to use MathJax in our Sphinx docs, and it's
really easy. You just have to copy a file to the doc/src directory
and make a couple of changes to the conf.py file. I have done this at
my mathjax branch (https://github.com/asmeurer/sympy/tree/mathjax).
More information (als
I've made this easer for people who just want to play around with what
it looks like by pushing a demo up to docs.sympy.org.
Go to http://docs.sympy.org/mathjax/ and navigate to a LaTeX intensive
page (the mpmath function pages are good examples). Then compare
against the same page replacing "math
I just tried this on my iPod touch, and it works. It takes a little
while to render the math, due to the slower processor, but once it
does, it's worth it, because it's way crisper when you zoom in, which
you tend to do a lot on these mobile devices with their small screens.
And anyway, like I sa
We are using MathJax for the new IPython notebook and it is really
great, so I think this would be a good move.
Is there anyway of getting latex output in the sympy code samples?
Cheers,
Brian
On Thu, Jun 30, 2011 at 11:11 PM, Aaron Meurer wrote:
> I just tried this on my iPod touch, and it w
You mean the docstrings? I'm not sure. Sphinx doesn't seem to be
built to combine rendered math and doctests. If you add something
like
>>> something
`\pi`
or
>>> something
:math:`\pi`
in a doctest, it will just render it as
>>> something
\(\pi\)
So it doesn't seem like it would be as easy
I figured out why some documents give "Undefined control sequence"
errors. In conf.py there is a pngmath_latex_preamble, which defines a
bunch of \newcommands that are recognized by pngmath and math_dollar,
but not mathjax. There isn't anything in the mathjax sphinx extension
docs or the mathjax.
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