Digging. I'm looking to hack something in to support symbolic intervals
and need some advice, please.
I'm getting my problem laid out as an intersection, but I'm hitting a
problem performing the calculation symbolically. If I have
A,B,C,D = symbols( ( "A", "B", "C", "D" ), real=True )
i_ab = Interval ( A, B )
i_cd = Interval ( C, D )
i_chk = Intersection( i_ab, i_cd )
then in line 449 of core/sets.py I don't have the is_comparable property.
I was looking through the core/relational.py code for an operator that
would allow me to impose a strict ordering, say A < C < B < D (in Maple I
would use something like assume(A<B) ). Is there an accepted way of
attaching an is_comparable type operation to the individual Symbol objects,
say:
A.is_lessthan( C )
which would (say) set
A.is_comparable = True
A.comparison_dict = { C : '<' }
or something suitably Sympy-compatible? Should I fear combinatoric
complexity problems evaluating that?
Thanks
-- Simon
On Monday, 12 November 2012 15:15:52 UTC-5, Matthew wrote:
>
> If you do go digging around in the code I'd probably suggest working with
> sympy.core.sets rather than sympy.stats. sympy.core.sets is better
> organized and has a much lower entry barrier.
>
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