On Wed, 11 Oct 2006, Travis Oliphant wrote:
> On the other hand requiring all calls to numpy.sqrt to go through an
> "argument-checking" wrapper is a bad idea as it will slow down other uses.
Interestingly, in worst cases numpy.sqrt is approximately ~3 times slower
than scipy.sqrt on negative input but ~2 times faster on positive input:
In [47]: pos_input = numpy.arange(1,100,0.001)
In [48]: %timeit -n 1000 b=numpy.sqrt(pos_input)
1000 loops, best of 3: 4.68 ms per loop
In [49]: %timeit -n 1000 b=scipy.sqrt(pos_input)
1000 loops, best of 3: 10 ms per loop
In [50]: neg_input = -pos_input
In [52]: %timeit -n 1000 b=numpy.sqrt(neg_input)
1000 loops, best of 3: 99.3 ms per loop
In [53]: %timeit -n 1000 b=scipy.sqrt(neg_input)
1000 loops, best of 3: 29.2 ms per loop
nan's are making things really slow,
Pearu
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