(a) it would be good if NumPy type annotations could include an
“array_like” type that allows lists, tuples, etc.
I think that would be a sequence — already supported by the Typing system.
(b) I’ve always thought (since PEP561) that it would be cool for type
annotations to replace compiler type
On Nov 25, 2017, at 3:35 PM, Matthew Rocklin wrote:
Thoughts on basing this on a more generic Array type rather than the
np.ndarray?
This would actually be more consistent with the current python typing
approach.
I can imagine other nd-array libraries (XArray, Tensorflow, Dask.array)
wanting t
Here's the code: https://github.com/rmcgibbo/numpy-mypy.
It's not 100% working yet, but it can do simple stuff, like inferring the
shape of arrays created from np.zeros(literal_tuple), and fixing out the
shape of the result of an indexing operation (i.e.
https://github.com/rmcgibbo/numpy-mypy/blob
On Tue, Nov 28, 2017 at 5:11 PM Robert T. McGibbon
wrote:
> I'm strongly in support of this proposal. Type annotations have really
> helped me write more correct code.
>
> I started working on numpy type stubs a few months ago. I needed a mypy
> plugin to support shape-aware functions. Those who
I'm strongly in support of this proposal. Type annotations have really
helped me write more correct code.
I started working on numpy type stubs a few months ago. I needed a mypy
plugin to support shape-aware functions. Those whole thing is pretty
tricky. Still very WIP, but I'll clean them up a l
