Ondrej,

This is also a function of the processor speed, etc. On my laptop "from
sympy import S" seems to take half a second. So this request may be similar
to "can sympy run fast on my old laptop?"


Jason
moorepants.info
+01 530-601-9791

On Thu, Jul 23, 2015 at 9:41 AM, Ondřej Čertík <[email protected]>
wrote:

> Hi Richard,
>
> On Thu, Jul 23, 2015 at 3:23 AM, Richard Rondu <[email protected]>
> wrote:
> > 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.
>
> Even 5s is unnaceptable, at least for me.
>
> >
> > 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 !
>
> I am really sorry it is taking so long to import, we need to fix that.
> I hope it is possible to fix this in Python.
>
> Thanks for posting the timings. To get to the bottom of the issue ----
> is the import time slow because we are doing some (slow) calculations
> at import time, or is the import time slow because Python needs to
> read and parse ~200,000 lines of code?
>
> Once we understand where the time is actually spent, then we need to
> figure out a solution.
>
> Ondrej
>
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