On 2019-02-02 09:22, Kirill Balunov wrote:
сб, 2 февр. 2019 г. в 07:33, Steven D'Aprano <st...@pearwood.info
<mailto:st...@pearwood.info>>:
I didn't say anything about a vector type.
I agree you did not say. But since you started a new thread from the
one where the vector type was a little discussed, it seemed to me that
it is appropriate to mention it here. Sorry about that.
> Therefore, it allows you to ensure that the method is present for
each
> element in the vector. The first given example is what numpy is
all about
> and without some guarantee that L consists of homogeneous data it
hardly
> make sense.
Of course it makes sense. Even numpy supports inhomogeneous data:
py> a = np.array([1, 'spam'])
py> a
array(['1', 'spam'],
dtype='|S4')
Yes, numpy, at some degree, supports heterogeneous arrays. But not in
the way you brought it. Your example just shows homogeneous array of
type `'|S4'`. In the same way as `np.array([1, 1.234])` will be
homogeneous. Of course you can say - np.array([1, 'spam'],
dtype='object'), but in this case it will also be homogeneous array, but
of type `object`.
Inhomogeneous data may rule out some optimizations, but that hardly
means that it "doesn't make sense" to use it.
I did not say that it "doesn't make sense". I only said that you should
be lucky to call `..method()` on collections of heterogeneous data. And
therefore, usually this kind of operations imply that you are working
with a "homogeneous data". Unfortunately, built-in containers cannot
provide such a guarantee without self-checking. Therefore, in my opinion
that at the moment such an operator is not needed.
Here's a question: when you use a subscript on a vector, does it apply
to the vector itself, or its members?
For example, given:
>>> my_strings = Vector(['one', 'two', 'three'])
what is:
>>> my_strings[1 : ]
?
Is it:
Vector(['ne', 'wo', 'hree'])
or:
Vector(['two', 'three'])
?
_______________________________________________
Python-ideas mailing list
Python-ideas@python.org
https://mail.python.org/mailman/listinfo/python-ideas
Code of Conduct: http://python.org/psf/codeofconduct/
