Hi everyone. I'm upgrading my Qt RPN calculator app for sailfish ( https://github.com/lainwir3d/sailfish-rpn-calculator) to use sympy as an engine.
Everything was well and happy when I was using the sailfish emulator to test the app, but then I decided to finally try it on my Jolla smartphone : the import time of sympy increase to a bit above ten seconds. While I can manage to deal with ~5seconds, ~10seconds is a bit too much. I was using sympy 0.7.6, I moved yesterday to the master branch hoping it would be better but it's not. Do any of you have any tips to decrease the import time ? I'm only using for the moment : - sympy.S / N - sympy.cos / acos / sin / asin / tan / atan - sympy.sqrt / root / log / factorials I'm defining some custom constants (inheriting NumberSymbol) and some functions (inheriting Function) but I can import them later when needed. What I need to be quickly loaded at startup is mainly sympy.S, the others I can load in the background. I tried to play a bit with __init__.py, here is the import time of each module on the master : core=2373 logic=0 assumptions=78 polys=5542 series=0 functions=1 ntheory=2 concrete=1307 simplify=1 sets=0 solvers=0 matrices=0 geometry=349 utilities=0 integrals=0 tensor=0 parsing=2 calculus=21 plotting=177 printing=0 printing2=1 printing3=0 interactive=34 evalf=1 deprecated=8 Polys module is the one taking most of the time. Here is the import time of its submodules : polytools=2009 polyfuncs=1736 rationaltools=0 polyerrors=1 numberfields=1190 monomials=0 orderings=0 rootoftools=0 polyroots=0 domains=0 constructor=0 specialpolys=1 orthopolys=0 partfrac=467 polyoptions=1 rings=0 fields=33 The import time is the same either with "import sympy" or "from sympy import S" So, if anyone had any idea / pointers I could look at I would really appreciate it :-) Apart from that, sympy is quite awesome ! Thanks Richard -- 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 [email protected]. To post to this group, send email to [email protected]. 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/d6182b3f-61eb-4925-9cae-088df9151535%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
