>
> What are the results you get from these? For me the last one is
> slightly faster, which makes sense because the inputs don't have to be
> converted to SymPy Floats first.
>
This chart summarizes my findings. Each dot represents the evaluation time
with the specified module + data type.
I gues
On Wed, Sep 15, 2021 at 2:36 AM Davide Sandona'
wrote:
> What are the results you get from these? For me the last one is
>> slightly faster, which makes sense because the inputs don't have to be
>> converted to SymPy Floats first.
>>
>
> This chart summarizes my findings. Each dot represents the
On Tue, 14 Sept 2021 at 23:12, sandona...@gmail.com <
sandona.dav...@gmail.com> wrote:
> Hello,
> let's say I'd like to numerically evaluate a single sympy function over an
> array using sympy as the module. Curiously, passing in regular Python's
> float numbers makes the evaluation much faster th
On Wed, 15 Sept 2021 at 13:41, Oscar Benjamin
wrote:
> On Tue, 14 Sept 2021 at 23:12, sandona...@gmail.com <
> sandona.dav...@gmail.com> wrote:
>
>> Hello,
>> let's say I'd like to numerically evaluate a single sympy function over
>> an array using sympy as the module. Curiously, passing in regul
Thanks Oscar for the wonderful clarification!
I rerun my code with SYMPY_USE_CACHE=no, now the results make much more
sense.
[image: lambdify-no-cache.png]
Davide.
Il giorno mer 15 set 2021 alle ore 15:14 Oscar Benjamin <
oscar.j.benja...@gmail.com> ha scritto:
>
> On Wed, 15 Sept 2021 at 13:
