It'll work, it is equivalent to the suggestion I made in my previous post with the f_inplace wrapper function (and it has the same drawback that numpy will allocate temporary memory, which wouldn't be the case if f was working in-place directly, by implementing it as "arr *= 2").
Note that you don't need to write x[:] * 2, you can write x * 2 directly.
Thanks everybody for the different solutions proposed, I really appreciate.
What about this solution? So simple that I didn't think to it...
import numpy as np
from numpy import *return arr*2
a = array( [1,1,1] )
b = array( [2,2,2] )
c = array( [3,3,3] )
d = array( [4,4,4] )for x in (a,b,c,d):
x[:] = x[:]*2
#instead of: x = x*2
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