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- gridmax, gridsize = 8, 150
- grid=linspace(0, gridmax**1e-1, gridsize)**10
- sigma= lambda s:0
- grid = [sigma(e) for e in grid]
- 10000 loops, best of 3: 21.6 us per loop
- grid = np.vectorize(sigma)(grid)
- 100 loops, best of 3: 2.61 ms per loop
- sigma = lambda s: np.zeros(s.shape)
- grid = sigma(grid)
- 1000000 loops, best of 3: 667 ns per loop
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