Robert Kern wrote: > Neal Becker wrote: >> I've never liked that python silently ignores slices with out of range >> indexes. I believe this is a source of bugs (it has been for me). It >> goes completely counter to the python philosophy. >> >> I vote to ban them from numpy. >>>>> from numpy import array >>>>> x = array (xrange (10)) >>>>> x[11] >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> IndexError: index out of bounds >>>>> x[:12] = 2 >>>>> x >> array([2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) >>>>> len (x) >> 10 >> >> Silently ignoring the error x[:12] is a bad idea, IMO. If it meant to >> _extend_ x to have lenght 12, at least _that_ would be reasonable (but >> I'm not advocating that position). >> >> I believe that out of bounds indexes should always throw IndexError. We >> can't change that in Python now, but maybe we can in numpy. > > -1. Regardless of the merits if we had a blank slate, there is code that > depends on this, specifically my code. It simplifies certain operations > that would otherwise need tedious special case-handling. >
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