Actually I refactored the tensor module the last autumn and it now should have invariant argument trees.
I don't know whether __eq__ overloading may be an issue to unify, as well as the standard __hash__ for tensor expressions. The issue now is more about how to represent operators on tensors in a frozen state, eg partial derivative by an index or by a tensor. Note that now some of the logic is also handled by an object called TIDS, whose purpose is just to contain the calculation data pertaining to TensMul. -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To post to this group, send email to sympy@googlegroups.com. Visit this group at http://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/87cf29b4-c4a5-484d-bced-a6fe7e3150d3%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
