On Sat, Oct 8, 2011 at 7:48 PM, Mateusz Paprocki matt...@gmail.com wrote:
Hi,
On 8 October 2011 04:40, Maciej Fijalkowski fij...@gmail.com wrote:
Hi
I did some benchmarking of sympy under PyPy. I would like some
comments on the validity of benchmarks. I've use PyPy nightly from 7th
of Oct
Hi
I did some benchmarking of sympy under PyPy. I would like some
comments on the validity of benchmarks. I've use PyPy nightly from 7th
of Oct, CPython 2.7 release and sympy git trunk.
Benchmarks (also http://paste.pocoo.org/show/489351/)
Those are picked specifically so time stays around 1-5s
Hello.
Half a year ago, I was asking about sympy benchmarks. So here is some
feedback on what I got using the JIT. Running the very simple
benchmark, like this:
import sympy
import time
x, y = sympy.symbols('x, y')
for i in range(10):
t0 = time.time()
sympy.factor(x**20 - y**20)
Try divisors() from sympy/ntheory/factor_.py. I tried that with Cython
(pure Python mode, so that you have the same source code, that works
both in Python and in Cython) and I forgot which speedup I got, but at
least 10x, maybe up to 25x. Should be in the archives of this list.
Ondrej
On
On Mon, Mar 8, 2010 at 5:37 PM, Ondrej Certik ond...@certik.cz wrote:
On Mon, Mar 8, 2010 at 4:32 PM, Maciej Fijalkowski fij...@gmail.com wrote:
Try divisors() from sympy/ntheory/factor_.py. I tried that with Cython
(pure Python mode, so that you have the same source code, that works
both
Hi.
I think SymPy is an excellent benchmark target. The nature of SymPy
(or any computer algebra system) is such that any high-level operation
will exercise most parts of the system. For example
integrate(x**3*exp(x)*sin(x), x) performs ~4 million function calls
to some 200 functions all
On Tue, Aug 18, 2009 at 1:12 AM, Fredrik
Johanssonfredrik.johans...@gmail.com wrote:
On Tue, Aug 18, 2009 at 8:50 AM, Maciej Fijalkowskifij...@gmail.com wrote:
Hi.
I think SymPy is an excellent benchmark target. The nature of SymPy
(or any computer algebra system) is such that any
