On 8/18/2014 12:04 PM, Chris Barker wrote:
On Sun, Aug 17, 2014 at 2:41 PM, Barry Warsaw <ba...@python.org
<mailto:ba...@python.org>> wrote:
I think the biggest API "problem" is that default iteration returns
integers
instead of bytes. That's a real pain.
what is really needed for this NOT to be a pain is a byte scalar.
The byte scalar is an int in range(256). Bytes is an array of such.
numpy has a scalar type for every type it supports -- this is a GOOD
THING (tm):
In [53]: a = np.array((3,4,5), dtype=np.uint8)
In [54]: a
Out[54]: array([3, 4, 5], dtype=uint8)
In [55]: a[1]
Out[55]: 4
In [56]: type(a[1])
Out[56]: numpy.uint8
In [57]: a[1].shape
Out[57]: ()
The lack of a character type is a major source of "type errors" in
python (the whole list of strings vs a single string problem -- both
return a sequence when you index into them or iterate over them)
This is exactly what iterbytes would do -- yields bytes of size 1.
Anyway, the character ship has long since sailed, but maybe a byte
scalar would be a good idea?
And FWIW, I think the proposal does make for a better, cleaner API.
--
Terry Jan Reedy
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