Adam,

I am aware that you've been high on ga but must say that I don't think
I want to go learn all that.  If you can post indicial tensor algebra,
general relativity calculations, etc I might be more inclined to take
a more detailed look at ga.  I do general relativity and wanted to try
to see how to help extend the sympy stuff to do indicial tensor
analysis ala MathTensor or ITensor in Maxima.

Comer

On May 26, 3:56 pm, Alan Bromborsky <[email protected]> wrote:
> [email protected] wrote:
> > Hi,
>
> > I am trying to understand some apparently old code written by Ondrej
> > trying to implement what I think are indicial tensor expressions.  I
> > list below the class definitions and then try to give an example. The
> > example results in an error.  I believe I recall that Ondrej says that
> > these definitions don't work, but I am trying to understand them and
> > want to try to create some appropriate classes which can contain
> > indicial tensors.
>
> > Here is what he has:
> > type(g)
> >  <class 'certekten.Indexed'>
> > from sympy import exp, Symbol, sin, Rational, Derivative, dsolve
>
> > from sympy.core import Basic, Function
> > from sympy.matrices import Matrix
>
> > class Indexed(Basic):
> >     def __init__(self, A, idxlist):
> >         self._args = [A, idxlist]
>
> >     def __str__(self):
> >         r = str(self[0])
> >         for idx in self[1]:
> >             r+=str(idx)
> >         return r
>
> > class Idx(Symbol):
> >     def __init__(self, name, dim = 4, up = True):
> >         Symbol.__init__(self, name)
> >         #self._args.extend([dim,up])
> >         self._name = name
> >         self._dim = dim
> >         self._up = up
>
> >     def __str__(self):
> >         if self._up:
> >             r = "^"
> >         else:
> >             r = "_"
> >         return r+self._name
>
> >     @property
> >     def up(self):
> >         return Idx(self._name, self._dim, True)
>
> >     @property
> >     def dn(self):
> >         return Idx(self._name, self._dim, False)
>
> >     def values(self):
> >         return range(self._dim)
>
> > mu = Symbol("mu")
> > nu = Symbol("nu")
>
> > g =Indexed(Symbol("A"),[mu,nu])
>
> > g
>
> > Among lots of output, the following stands out:
> > 'Indexed' object is unsubscriptable
>
> > What I want is to see g_{\mu,\nu} to give a latex version.
>
> > So I don't understand what is wrong with the syntax/class def which
> > he gave.
>
> > I would appreciate some help in both learning more about how sympy
> > works and on this particular task.
>
> > Thanks a bunch.
>
> > Comer
>
> > And here is a try:
>
> What are you trying to do with tensors in particular?

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