Not yet. I wrote it this morning during an extremely boring meeting, and
haven't had a chance to clean it up. This doesn't solve your problem about
broadcasting a matrix calculation though...


On Wed, Aug 27, 2014 at 10:23 PM, Jason Moore <[email protected]> wrote:

> Awesome. I was working on this today but it looks like you've by passed
> what I had working. Do you have a PR with this?
>
>
> Jason
> moorepants.info
> +01 530-601-9791
>
>
> On Wed, Aug 27, 2014 at 11:11 PM, Matthew Rocklin <[email protected]>
> wrote:
>
>> Cool
>>
>>
>> On Wed, Aug 27, 2014 at 8:07 PM, James Crist <[email protected]> wrote:
>>
>>> I still need to do some cleanups and add tests, but I finally have this
>>> working and thought I'd share. I'm really happy with this:
>>>
>>> In [1]: from sympy import *
>>>
>>> In [2]: a, b, c = symbols('a, b, c')
>>>
>>> In [3]: expr = (sin(a) + sqrt(b)*c**2)/2
>>>
>>> In [4]: from sympy.utilities.autowrap import ufuncify
>>>
>>> In [5]: func = ufuncify((a, b, c), expr)
>>>
>>> In [6]: func(1, 2, 3)
>>> Out[6]: 6.7846965230828769
>>>
>>> In [7]: func([1, 2, 3, 4, 5], [6, 7, 8, 9, 10], 3)
>>> Out[7]: array([ 11.44343933,  12.36052961,  12.79848207,  13.12159875,
>>> 13.75078733])
>>>
>>> In [8]: from numpy import arange
>>>
>>> In [9]: a = arange(10).reshape((2, 5))
>>>
>>> In [10]: c = arange(10, 20).reshape((2, 5))
>>>
>>> In [11]: b = 25
>>>
>>> In [12]: func(a, b, c)
>>> Out[12]:
>>> array([[ 250.        ,  302.92073549,  360.45464871,  422.57056   ,
>>>          489.62159875],
>>>        [ 562.02053786,  639.86029225,  722.8284933 ,  810.49467912,
>>>          902.70605924]])
>>>
>>> In [13]: type(func)
>>> Out[13]: numpy.ufunc
>>>
>>> This now does everything a numpy `ufunc` does normally, as it *is* a
>>> ufunc. Codegen is hooked up to numpy api. Type conversion and broadcasting
>>> are done automagically.
>>>
>>> Caveats: only functions with a single output are accepted (this could be
>>> changed to accept multi-output without much effort though). Also, as with
>>> all unfuncs, input/outputs must all be scalars (no matrix/Indexed
>>> operations allowed).
>>>
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