On 26 Nov 2017, 12:27 PM +1100, Nathaniel Smith , wrote:
> It turns out that the PEP 484 type system is *mostly* not useful for
> this. They're really designed for checking consistency across a large
> code-base, not for enabling compiler speedups. For example, if you
> annotate something as an in
On Sat, Nov 25, 2017 at 3:09 PM, Juan Nunez-Iglesias wrote:
> This is a complete outsider’s perspective but
>
> (a) it would be good if NumPy type annotations could include an “array_like”
> type that allows lists, tuples, etc.
I'm sure this will exist.
> (b) I’ve always thought (since PEP561) t
Thoughts on basing this on a more generic Array type rather than the
np.ndarray? I can imagine other nd-array libraries (XArray, Tensorflow,
Dask.array) wanting to reuse this work. For dask.array in particular we
would want to copy this entirely, but we probably can't specify that
dask.arrays are
Can you make a case for the usefulness numpy annotations? What benefits to
you want to achieve and how will annotation aid in getting there.
1. Error checking on large codebases with systems like MyPy
2. Hinting and error checking at code-writing time with systems like
Jedi "Hey, this fu
On Sat, Nov 25, 2017 at 7:21 AM Marten van Kerkwijk <
m.h.vankerkw...@gmail.com> wrote:
> A question of perhaps broader scope than what you were asking for, and
> more out of curiosity than anything else, but can one mix type
> annotations with others? E.g., in astropy, we have a decorator that
>
This is a complete outsider’s perspective but
(a) it would be good if NumPy type annotations could include an “array_like”
type that allows lists, tuples, etc.
(b) I’ve always thought (since PEP561) that it would be cool for type
annotations to replace compiler type annotations for e.g. Cython a
On Sat, Nov 25, 2017 at 1:14 AM, Stephan Hoyer wrote:
> There's been growing interest in supporting PEP-484 style type annotations
> in NumPy: https://github.com/numpy/numpy/issues/7370
>
> This would allow NumPy users to add type-annotations to their code that
> uses NumPy, which they could chec
Hi Stephan,
A question of perhaps broader scope than what you were asking for, and
more out of curiosity than anything else, but can one mix type
annotations with others? E.g., in astropy, we have a decorator that
looks for units in the annotations (not dissimilar from dtype, I
guess). Could one m
There's been growing interest in supporting PEP-484 style type annotations
in NumPy: https://github.com/numpy/numpy/issues/7370
This would allow NumPy users to add type-annotations to their code that
uses NumPy, which they could check with mypy, pycharm or pytype. For
example:
def f(x: np.ndarray
