How come srange is so slow compared to numpy arange?
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| Sage Version 3.4.alpha0, Release Date: 2009-02-24 |
| Type notebook() for the GUI, and license() for information. |
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sage: import numpy
sage: timeit('srange(1.5r,4r,universe=float,check=False)')
625 loops, best of 3: 40 µs per loop
sage: timeit('list(numpy.arange(1.5r,4r))')
625 loops, best of 3: 7.76 µs per loop
sage:
srange(1.5r,4r,universe=float,check=False)==list(numpy.arange(1.5r,4r))
True
Is there a Sage command for constructing a list of python floats that
gets equivalent speed as the numpy arange command?
Thanks,
Jason
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