I see.  Yeah, that's because of the optimization built in to
Derivative.__new__ that does diff(expr, x) => 0 if x is not in
expr.free_symbols.  This should probably be factored out to just be a
default _eval_derivative action in Expr, so that subclasses can
override it.  On the other hand, if your object is going to be
something akin to x(t) or x'(t), then t should be in the free_symbols.

Aaron Meurer

On Fri, Jun 3, 2011 at 8:53 PM, Gilbert gede <[email protected]> wrote:
> Yeah, if you try diff(x,y), the method is not called.
> Ronan, I'm not sure how to do what you're describing?  How would I
> call that?
>
> -Gilbert
>
>
> On Jun 3, 7:32 pm, Ronan Lamy <[email protected]> wrote:
>> Le vendredi 03 juin 2011 à 19:16 -0700, Gilbert gede a écrit :
>>
>> > You're talking about Symbol._eval_derivative?  I tried that within my
>> > extended Symbol class.  It returns 0 or 1 testing self == symbol.  I
>> > tried making some changes to it, but I don't think I can use it.  I
>> > think it doesn't even get called unless you do something like:
>> > t = timevaryingsymbols('t')
>> > Derivative(2+3*t,t)
>> > I think only when t is both part of (expr, symbols, ...) within
>> > Derivative's __new__ definition does t's _eval_derivative() method get
>> > called.
>>
>> That seems to be a recent "optimisation" from commit 2361dd86. You
>> should revert this to the old behaviour: call
>> expr._eval_derivative(symbol) in all cases.
>>
>>
>>
>>
>>
>>
>>
>> > On Jun 3, 6:53 pm, Aaron Meurer <[email protected]> wrote:
>> > > Can you just get what you want by overriding _eval_derivative()?
>>
>> > > Aaron Meurer
>>
>> > > On Fri, Jun 3, 2011 at 7:48 PM, Gilbert gede <[email protected]> 
>> > > wrote:
>> > > > I guess I should have asked this as well; is it considered bad to
>> > > > write diff() and replace the current Sympy diff() within my code? Or
>> > > > is that OK?
>>
>> > > > -Gilbert
>>
>> > > > On Jun 3, 6:38 pm, Gilbert gede <[email protected]> wrote:
>> > > >> Yeah, I had read some of them.  I had already thought of writing my
>> > > >> own Diff method or something and do substitution with it, but was
>> > > >> hoping to have the functionality I want work like standard SymPy
>> > > >> operations.  That's what I've been trying to do with my PyDy classes;
>> > > >> make them work more like you would expect other SymPy objects to.
>> > > >> I have read through Derivative() and diff(), and couldn't really find
>> > > >> a way to make them do what I want (like I said about my symbol
>> > > >> extension no longer having its methods called once it is inside a
>> > > >> SymPy add or mul).  I guess what I was hoping for was input on whether
>> > > >> I could make Derivative do what I want with my extended Symbol, as I
>> > > >> couldn't really see how.  But if writing my own Diff method is the
>> > > >> only option, there's not much I can do then.
>>
>> > > >> Thanks,
>> > > >> -Gilbert
>>
>> > > >> On Jun 3, 5:53 pm, "Aaron S. Meurer" <[email protected]> wrote:
>>
>> > > >> > This has actually been discussed quite a bit before (a lot of 
>> > > >> > people want to use Lagrangians).  You can search the mailing list.  
>> > > >> > From what I've seen, you will either have to write your own custom 
>> > > >> > diff routine or do clever substitution of functions and derivatives 
>> > > >> > with symbols.  I don't think I've ever seen anyone suggest 
>> > > >> > extending Symbol to hold a time derivative, which is essentially 
>> > > >> > just a more formal way of doing the substation method.  It might 
>> > > >> > work.
>>
>> > > >> > Aaron Meurer
>>
>> > > >> > On Jun 3, 2011, at 6:05 PM, Gilbert Gede wrote:
>>
>> > > >> > > Hi,
>> > > >> > > I was trying to implement some functionality for PyDy for this 
>> > > >> > > year's GSoC, and was looking for some advice.
>> > > >> > > In dynamics problems, you usually have time-varying quantities, 
>> > > >> > > like generalized coordinates, speeds, and accelerations.  Often, 
>> > > >> > > you want to take the partial derivative of an expression with 
>> > > >> > > respect to the time derivative of one of these quantities.  This 
>> > > >> > > come up when using Lagrange's Method (or Kane's Method).  It's 
>> > > >> > > described to some degree here:
>> > > >> > >http://en.wikipedia.org/wiki/Lagrangian_mechanics
>> > > >> > >https://gist.github.com/1005937
>> > > >> > > In Lagrange's Method, you end up taking the partial derivative of 
>> > > >> > > the energy with respect to the time derivative of a generalized 
>> > > >> > > coordinate.  I'm trying to figure out a way to make this work in 
>> > > >> > > PyDy/SymPy. Derivative won't take in anything but a Symbol.
>> > > >> > > The only idea I have come up with is to extend Symbol and write 
>> > > >> > > my own .diff() method for it which returns a new symbol 
>> > > >> > > representing the time differentiation of the original extended 
>> > > >> > > Symbol.  Once my new object is inside a Mul or Add sympy object, 
>> > > >> > > then my .diff() method is no longer called.
>> > > >> > > Can anyone give some insight into how I could get this desired 
>> > > >> > > behavior, taking the derivative of an expression wrt a 
>> > > >> > > time-differentiated symbol, to work in a way consistent with 
>> > > >> > > existing SymPy behavior?  Thanks.
>>
>> > > >> > > -Gilbert
>>
>> > > >> > > --
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