one quick question .. how to set SYMPY_DEBUG=True ? On Fri, Apr 20, 2012 at 2:31 PM, Tom Bachmann <e_mc...@web.de> wrote:
> Absolutely! > > git pull > https://github.com/ness01/**sympy<https://github.com/ness01/sympy>trigsimp > > The function is called trigsimp_groebner. But please note that I only > wrote it yesterday, so there are probably bugs. Also there is no real > docstring (yet). > > Quick tips: > > - run with SYMPY_DEBUG=True in order to see what is happening / if it hangs > - pass quick=True if it hangs at "minsolve: ..." > - use hints=[...]. This really should be in the docstring. Basically put > in in what you think the answer should involve. E.g. > trigsimp_groebner(sin(x)*cos(**x)) does nothing. Passing hints=[sin(2*x)] > works. Also hints=[2] does something similar (but is way more expensive). > Try hints=[tan] to enable looking for tan expressions (only necessary if > they are not in the input). hints=[(sin, x, y)] will try to use the > sin(x+y)=sin(x)cos(y) + sin(y)cos(x) formula. > - hyperbolic function simplification does not work, yet > > Hope this helps. > Tom > > > On 20.04.2012 09:23, gsagrawal wrote: > >> i want to evaluate this function . can you tell me which branch i need >> to checkout ? >> >> On Fri, Apr 20, 2012 at 1:37 PM, Tom Bachmann <e_mc...@web.de >> <mailto:e_mc...@web.de>> wrote: >> >> That could be true. The groebner algorithms actually use a minimal >> sparse representation internally. But running trigsimp_groebner on >> smallExpr for me hangs on "a * d_hat - b * c_hat" - (not even the >> conversion to sparse or reduction, yet) just a multiplication of >> (huge) polys. >> >> As I said, I'll run some timing tests to figure out the bottleneck. >> But I'm not sure this algorithm can work with such huge expressions. >> Even the "staircase" function (which just enumerates all monomials >> below a certain degree) takes ages (I am not sure why, yet. The >> dense representation does not seem to be a problem.) >> >> >> On 20.04.2012 08:53, Aaron Meurer wrote: >> >> I just remembered something important (I'm not sure why I forgot >> about >> it before). It's going to be slow with multiple generators simply >> because the polys are slow with multiple generators. This is >> because >> the recursive dense representation used in the polys is highly >> inefficient for polynomials over many variables. This is >> because as a >> "dense" representation, it tends to waste a lot of space, and as a >> "recursive" representation, many of the functions are literally >> written recursively, which is expensive in Python (take dmp_mul for >> example). >> >> So we really need to work toward a sparse representation in the >> polys >> to start to get a real speedup here. >> >> Aaron Meurer >> >> On Fri, Apr 20, 2012 at 1:29 AM, Tom Bachmann<e_mc...@web.de >> <mailto:e_mc...@web.de>> wrote: >> >> >> I tried the expressions from >> https://groups.google.com/d/__**topic/sympy/3y6orHV2_4k/__ >> **discussion<https://groups.google.com/d/__topic/sympy/3y6orHV2_4k/__discussion> >> >> <https://groups.google.com/d/**topic/sympy/3y6orHV2_4k/** >> discussion<https://groups.google.com/d/topic/sympy/3y6orHV2_4k/discussion> >> > >> (see >> the tarball linked to in the first post). I just tried >> the small >> expression with n=1, but it just hung on the reduction >> step. Any >> thoughts on how to make this faster? Those expressions >> would make good >> stress tests for this. >> >> >> Well these expressions are *huge*. I will run some timing >> tests, but I think >> all parts of the algorithm will break down (i.e. become >> infeasible >> computationally) long before that length. >> >> >> -- >> You received this message because you are subscribed to the >> Google Groups >> "sympy" group. >> To post to this group, send email to sympy@googlegroups.com >> <mailto:sympy@googlegroups.com**>. >> >> To unsubscribe from this group, send email to >> sympy+unsubscribe@__googlegrou**ps.com<http://googlegroups.com> >> >> <mailto:sympy%2Bunsubscribe@**googlegroups.com<sympy%252bunsubscr...@googlegroups.com> >> >. >> >> For more options, visit this group at >> >> http://groups.google.com/__**group/sympy?hl=en<http://groups.google.com/__group/sympy?hl=en> >> >> <http://groups.google.com/**group/sympy?hl=en<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 sympy@googlegroups.com >> <mailto:sympy@googlegroups.com**>. >> >> To unsubscribe from this group, send email to >> sympy+unsubscribe@__googlegrou**ps.com <http://googlegroups.com> >> >> <mailto:sympy%2Bunsubscribe@**googlegroups.com<sympy%252bunsubscr...@googlegroups.com> >> >. >> >> For more options, visit this group at >> >> http://groups.google.com/__**group/sympy?hl=en<http://groups.google.com/__group/sympy?hl=en> >> >> <http://groups.google.com/**group/sympy?hl=en<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 sympy@googlegroups.com. >> To unsubscribe from this group, send email to >> sympy+unsubscribe@**googlegroups.com<sympy%2bunsubscr...@googlegroups.com> >> . >> For more options, visit this group at >> http://groups.google.com/**group/sympy?hl=en<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 sympy@googlegroups.com. > To unsubscribe from this group, send email to sympy+unsubscribe@** > googlegroups.com <sympy%2bunsubscr...@googlegroups.com>. > For more options, visit this group at http://groups.google.com/** > group/sympy?hl=en <http://groups.google.com/group/sympy?hl=en>. > > -- You received this message because you are subscribed to the Google Groups "sympy" group. 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