[Numpy-discussion] Numpy Benchmarking

[joris at ster.kuleuven.ac.be]

Hi,

 [TO]: NumPy uses Numeric's old wrapper to lapack algorithms. 
 [TO]: 
 [TO]: SciPy uses it's own f2py-generated wrapper (it doesn't rely on the
 [TO]: NumPy wrapper).
 [TO]: 
 [TO]: The numpy.dual library exists so you can use the SciPy calls if the 
 [TO]: person has SciPy installed or the NumPy ones otherwise.  It exists 
 [TO]: precisely for the purpose of seamlessly taking advantage of 
 [TO]: algorithms/interfaces that exist in NumPy but  are improved in SciPy.

This strikes me as a little bit odd. Why not just provide the best-performing 
function to both SciPy and NumPy? Would NumPy be more difficult to install
if the SciPy algorithm for inv() was incorporated?

Joris




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