[pythran] dimension-independent functions?
- From: Neal Becker <ndbecker2@xxxxxxxxx>
- To: pythran@xxxxxxxxxxxxx
- Date: Fri, 5 Sep 2014 07:01:27 -0400
What is the best way to write a dimension-independent function? For
example,
suppose I want to apply the function "sqr" element-wise to an array of any
number
of dimensions N.
I see one way is to explicitly instantiate the function for each desired
number of dimensions:
import numpy as np
#pythran export sqr(float64[])
#pythran export sqr(float64[][])
def sqr (x):
size = x.shape[0]
y = np.empty_like (x)
for i in range (size):
y[i] = x[i] * x[i]
return y
Is there a better way?
--
*Those who don't understand recursion are doomed to repeat it*
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