This is implemented in the last few commits of
https://github.com/sympy/sympy/pull/1598
def simplify(expr, ...):
try:
return expr._eval_simplify(ratio=ratio, measure=measure)
except AttributeError:
pass
On Tue, Oct 16, 2012 at 7:07 AM, Sergiu Ivanov <[email protected]>wrote:
> Hello,
>
> On Tue, Oct 16, 2012 at 08:15:12AM -0500, Matthew Rocklin wrote:
> >
> > I agree with Julien that vectorization is a different question. The
> > question at hand is (I think) the following:
> >
> > We have a function simplify that tries to reduce the complexity of a
> scalar
> > expression (for example by turning y* x / y into x). We have grown
> > accustomed to asking SymPy to reduce the complexity of an object by
> calling
> > `simplify(object)`. Should we extend the meaning of simplify to
> non-Exprs?
> > Many classes know some way to reduce their complexity. For example
> matrices
> > have a Matrix.simplify() method. Some sets like Union and Intersection
> have
> > a Set.reduce() method. Should we expose these methods through simplify?
> > I.e. do we want things like the following to work `simplify(Set)` ?
>
> I think `simplify(Set)` should work.
>
> I do believe however that the simplification functionality itself
> should be provided by the object on which `simplify` is invoked,
> rather than stuffed into `simplify`. (I think the majority agree that
> this is way to go, so I'm just redundantly restating the fact.)
>
> I think letting `simplify` work on all kinds of SymPy objects is the
> behaviour a user would expect.
>
> Sergiu
>
> --
> You received this message because you are subscribed to the Google Groups
> "sympy" group.
> To post to this group, send email to [email protected].
> To unsubscribe from this group, send email to
> [email protected].
> For more options, visit this group at
> http://groups.google.com/group/sympy?hl=en.
>
>
--
You received this message because you are subscribed to the Google Groups
"sympy" group.
To post to this group, send email to [email protected].
To unsubscribe from this group, send email to
[email protected].
For more options, visit this group at
http://groups.google.com/group/sympy?hl=en.
