[Numpy-discussion] indexing bug?
Wed Oct 3 12:52:58 CDT 2007
Stefan van der Walt wrote:
>> The current behavior is consistent and well
>>> a[x] == a[int(x)]
This is all possible because of PEP 357:
However, when I read this from the PEP:
It is not possible to use the nb_int (and __int__ special method)
for this purpose because that method is used to *coerce* objects
to integers. It would be inappropriate to allow every object that
can be coerced to an integer to be used as an integer everywhere
Python expects a true integer. For example, if __int__ were used
to convert an object to an integer in slicing, then float objects
would be allowed in slicing and x[3.2:5.8] would not raise an error
as it should.
It seems pretty clear that only integer types were intended to by used
as indexes. Does that make this a bug? I'll defer that to others more in
the know than I.
Christopher Barker, Ph.D.
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