Add an Array Protocol & improve static typing support #589

nstarman · 2023-02-05T23:00:14Z

Continuing from #584, I've done a quick refactor of the array (and dtype) objects to make them typing Protocols.
@rgommers, I agree that making Array generic wrt the dtype is good for a followup.

It's not perfect, but mypy doesn't complain a whole lot, so I think this is a good start. I'm happy to make refinements.

honno

Thanks for your work on this :)

The Array protocl stuff looks grand. And personally I like having a DType class just for consistency, even if practically type hinting an object has __eq__ isn't useful.

On namespace type hints (e.g. _CreatoinFuncs, ArrayAPINamespace): IMO I'm not sure on this yet, as they make contributing to the spec less ergonomic given we repeat the signatures, although they are pretty nifty to have. ^{Is there a world where these could be dynamically construct them from the stubs instead?} We might want to put these in a follow-up PR if just to ship the concretely non-controversial stuff first—interested in what others think.

src/array_api_stubs/_draft/_types.py

honno · 2023-02-06T16:48:41Z

src/array_api_stubs/_draft/array_object.py


    @property
-    def ndim(self: array) -> int:
+    def ndim(self) -> int:


So I see methods/properties which don't return arrays don't get any type hint for their self arg—could these be hinted with Array?

Static type checkers don't like this because the TypeVar is not properly bound — see https://peps.python.org/pep-0484/#scoping-rules-for-type-variables ("Unbound type variables should not appear in the bodies of generic functions, or in the class bodies apart from method definitions:").
In general, there's no need to type hint the self arg unless the return type depends on the type of self — e.g. see https://peps.python.org/pep-0484/#user-defined-generic-types.

A nice thing about using Protocol is that self is understood by static type checkers to be the Protocol.

Why is this only done for certain methods?

I did it for any methods I looked at over the course of the PR. This is by no means comprehensive and should be done: here or elsewhere.

nstarman · 2023-02-06T18:21:13Z

We might want to put these in a follow-up PR if just to ship the concretely non-controversial stuff first—interested in what others think.

I was thinking the same thing last evening about moving this to a followup PR.

On namespace type hints (e.g. _CreatoinFuncs, ArrayAPINamespace): IMO I'm not sure on this yet, as they make contributing to the spec less ergonomic given we repeat the signatures, although they are pretty nifty to have. Is there a world where these could be dynamically construct them from the stubs instead?

Maybe? I haven't experimented yet but perhaps mypy will be satisfied with:

class ArrayAPINamespace(Protocol):

    zeros_like = staticmethod(creation_funcs.zeros_like)

Also for a future PR: zeros_like could be promoted to a Protocol,

class Array(Protocol):
    def __array_namespace__(self, ...) -> ArrayAPINamespace[Self]: ...


class ArrayAPINamespace(Protocol[Array]):

    zeros_like = staticmethod(zeros_like)


class zeros_like(Protocol[Array]):
    def __call__(self, x: Array, /, *, dtype: Optional[dtype] = None, device: Optional[device] = None) -> Array: ...

The advantage of this is that functions can be checked to see if their signature is compatible with zeros_like.

rgommers

Thanks @nstarman, and apologies for the delay in reviewing (your PR came in right at the start of my 2 week holiday). This is looking quite good. I pushed a couple of small commits to resolve some Mypy and Sphinx complaints.

This is close to ready I'd say. One thing that isn't nice is that Self now shows up instead of array in the signatures of the html docs. I tried to fiddle with autodoc_type_aliases in src/_array_api_conf.py, but was not successful in mapping that back to array. Using "self" will be pretty confusing in docs for regular methods that return arrays. I think we'll have to figure that one out.

The DType protocol is fine with me - it won't add much to type-checking, but it should be fine to have it here for consistency.

The Array protocol looks good.

rgommers · 2023-02-21T21:39:18Z

@BvB93 if you have any feedback on this PR, that would be great to see.

rgommers · 2023-02-21T21:41:00Z

@nstarman there are 3 errors left when running mypy array_api_stubs/_draft/array_object.py (from lots more on main). There are more errors in other files - but if we are going to maintain static typing support in this repo, adding a CI job running Mypy seems feasible. We could start with this file, and expand it to all files later. WDYT?

nstarman · 2023-02-21T22:07:55Z

One thing that isn't nice is that Self now shows up instead of array in the signatures of the html docs.

If the array type is just text in the html docs and not 'clickable', then we can rename Self to array.

adding a CI job running Mypy seems feasible. We could start with this file, and expand it to all files later. WDYT?

That sounds like a good idea. I can try adding to the CI and create an ignore file that can later be whittled down as the package is made more type friendly.

rgommers · 2023-02-21T22:10:01Z

If the array type is just text in the html docs and not 'clickable', then we can rename Self to array.

That works. It's not clickable - there is no array object in the standard on purpose, because in the end we don't care whether it's named ndarray, Tensor, or something else.

src/array_api_stubs/_draft/array_object.py

nstarman · 2023-08-12T21:20:49Z

@rgommers Sorry for the long interlude. I can't seem to resolve 3 linking errors in the docs https://app.circleci.com/pipelines/github/data-apis/array-api/1088/workflows/ed2dfa75-c3c7-4845-8f28-e01fe35d0c8d/jobs/996?invite=true#step-103-1646

asmeurer · 2023-08-14T19:26:27Z

Sphinx is trying to create links for the type hints. I think to fix that you need to update the list(s) here https://github.com/data-apis/array-api/blob/main/src/_array_api_conf.py#L52-L77

nstarman · 2023-08-14T20:15:03Z

I can squash commits if you don't use Squash & Merge (assuming this is approved, of course :) ).
Thanks @asmeurer for the pointer.

honno

Nice work!

honno · 2023-08-15T09:36:37Z

src/array_api_stubs/_draft/array_object.py


    @property
-    def shape(self: array) -> Tuple[Optional[int], ...]:
+    def shape(self) -> tuple[int | None, ...]:


Just to say more for myself than anyone else—I initially wasn't too sure if we wanted to use the py3.9+ type hint features, but:

Forgot that from future import __annotations__ makes this work for py3.8

py3.8 doesn't get updates end of next year

The scientific ecosystem already is adopting py3.9+

src/array_api_stubs/_draft/array_object.py

honno

Looks good on my end!

I think pre-commit is a good addition (would love to add hooks for other spec things myself), but probably not too useful until we get a workflow that runs it. That said, I'm not too sure if we'd want to do that just yet 🤔

nstarman · 2023-08-18T14:55:47Z

I think pre-commit is a good addition (would love to add hooks for other spec things myself), but probably not too useful until we get a workflow that runs it. That said, I'm not too sure if we'd want to do that just yet 🤔

pre-commit.ci can be turned on, sans additional GH workflows.
black, and ruff would be wonderful as well!

nstarman · 2023-08-19T20:38:18Z

Looks good on my end!

Thanks @honno for the reviews and discussion.

asmeurer · 2023-08-30T20:36:35Z

Any reason to change array to Array? I think we might prefer to keep it as array like it is now.

src/array_api_stubs/_draft/array_object.py

BvB93 · 2023-09-05T23:18:34Z

src/array_api_stubs/_draft/array_object.py


    @property
-    def device(self: array) -> Device:
+    def device(self) -> "Device":  # type: ignore[type-var]


Suggested change

def device(self) -> "Device": # type: ignore[type-var]

def device(self) -> Any:

Type variables (such as Device here) don't really make sense when it's only used as return type without using them in either a generic class or another parameter within the function; this is the source of mypy's error here and why you need the type: ignore; there must always be at least two of them.

Instead, unless you're willing to make the protocol itself generic w.r.t. the device (which might be a bit excessive here), then it's customary to use Any. I'm not sure if this Device type is used anywhere else, but if not you could even consider just repurposing it as an Any alias in order to keep its more descriptive name.

unless you're willing to make the protocol itself generic w.r.t. the device (which might be a bit excessive here),

This is planned, but for a followup PR. (See opening comment to this PR).

then it's customary to use Any

Alternatively, this PR introduces a Device Protocol which can be used instead of the TypeVar. No binding issues because it's a Protocol. When Array is made generic wrt Device we can change this back to a TypeVar.

Alternatively, this PR introduces a Device Protocol which can be used instead of the TypeVar. No binding issues because it's a Protocol. When Array is made generic wrt Device we can change this back to a TypeVar.

I guess that would be sort of possible? Rereading the Device Support docs concrete API implementations have a lot of freedom regarding the implementation of their Device type, to the point where only __eq__ (and __ne__) really matter? Honestly, with an interface that minimal it might just be worthwhile to stick to plain object rather than Any or a protocol, as there's very little (or nothing) to gain by usage of the latter two.

Yes, currently a Device Protocol has only __eq__ in it and as such is effectively equivalent to object.
But it's designing with the future in mind ("The choice to not include a standardized Device object may be revisited in a future revision of this standard.") and we'd need to alias object anyway to get the correct rendering on the docs...

BvB93 · 2023-09-05T23:21:25Z

src/array_api_stubs/_draft/array_object.py

@@ -39,6 +43,7 @@ def device(self: array) -> Device:
        out: device
            a ``device`` object (see :ref:`device-support`).
        """
+        ...

    @property
    def mT(self: array) -> array:


As a heads up: the PEP 673 Self type (a special type variable that's always bound to the respective classes self parameter) is now also supported by mypy and the likes, so you could, if so desired, express this as:

if TYPE_CHECKING: from typing_extensions import Self class Array(Protocol): def mT(self) -> Self:

I have a note already

array = TypeVar("array", bound="Array") # NOTE: when working with py3.11+ this can be ``typing.Self``.

But I'm happy to change it now. I was avoiding adding additional dependencies, even if they aren't runtime and
are made by the core python devs.

Either way is perfectly fine in my opinion; at the end of the day it's just a nice bit of syntactic sugar.

Then let's tackle this in a followup, since Self will need to be rendered in the docs as Array.

BvB93 · 2023-09-05T23:34:02Z

src/array_api_stubs/_draft/linalg.py

@@ -272,7 +272,7 @@ def matrix_norm(
    /,
    *,
    keepdims: bool = False,
-    ord: Optional[Union[int, float, Literal[inf, -inf, "fro", "nuc"]]] = "fro",
+    ord: Optional[Union[int, float, Literal[inf, -inf, "fro", "nuc"]]] = "fro",  # type: ignore


Note that there's currently no way to express literal floats in the type system, hence the need for the # type: ignore comment. Could maybe consider adding two Inf and NInf types (or something along those lines) and declare them as float aliases?

Inf = float NInf = float

I agree it's annoying Python can't do Literal[<float>]. I considered doing this, but I think I prefer not to change the spec in this PR. Changing to alias values will require additional docs and explanation since Inf = float is not the same as math.inf, and the latter is part of the spec.

Changing to alias values will require additional docs and explanation since Inf = float is not the same as math.inf, and the latter is part of the spec.

True, though the float already being present as a valid ord parameter means that the inclusion of math.inf is redundant either way (from a typing perspective at least), so to me this doesn't sound like such a change would violate the spec.

I added the type ignores only to make my local mypy happier (mypy isn't part of the the CI on this repo).
I think making these changes should be done in a followup PR. I'm happy to make the changes in another PR.

src/array_api_stubs/_draft/array_object.py

BvB93 · 2023-09-05T23:48:10Z

src/array_api_stubs/_draft/array_object.py


    def to_device(
-        self: array, device: Device, /, *, stream: Optional[Union[int, Any]] = None
+        self: array, device: "Device", /, *, stream: int | Any | None = None  # type: ignore[type-var]


There's been some minor discussion about this before (xref numpy/numpy#19083 (comment)), but considering this class is now becoming a fully fledged protocol and not just a documentation device the int type in the stream annotation is starting to become a bit problematic as it makes it mandatory for any (concrete) subtype to support it (while this is, in fact, optional).

A good point. I'm trying to translate this class, not change the spec, so I think this is best done in another PR.

IMO this would not be a spec violation as it'd merely remove an inconsistency between the type signature as implied by the annotations (..., stream: int | Any | None = ...) versus the one described in docstring (..., stream: None = ...).

As a little bit more background on the nitty gritty part of the world of typing that's going on here: Contrary to the return type of callables (which is covariant and concrete protocol implementations can thus return any sub-type), argument types are contravariant, meaning that concrete implementations will either have to exactly match it or return a supertype thereof (in the most extreme scenario that'd mean that even plain object is acceptable, though whether or not that's an actual good practice is another discussion entirely...).

What this means is that in order to proper subtype something like def (stream: int | None = ...) -> object: ... then concrete implementation must support both int and None, something that contracts the actual docstring.

BvB93 · 2023-09-12T12:09:14Z

LGTM, though it might be good to verify if the currently available downstream implementations properly satisfy subtype the protocol as this could potentially reveal some typing-related corner cases that we've missed thus far. Could be something for a follow up though.

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

Sphinx doesn't set `TYPE_CHECKING`, but does use the type annotations. `Self` is unknown to Sphinx, so should be filtered out to prevent lots of errors.

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

TomNicholas · 2024-01-29T20:46:21Z

It would be great to see this released. It looks very developed to me, and would be useful for us within xarray.

jorenham · 2024-08-29T15:10:03Z

src/array_api_stubs/_draft/linalg.py

@@ -793,7 +793,7 @@ def vector_norm(
    *,
    axis: Optional[Union[int, Tuple[int, ...]]] = None,
    keepdims: bool = False,
-    ord: Union[int, float, Literal[inf, -inf]] = 2,
+    ord: Union[int, float, Literal[inf, -inf]] = 2,  # type: ignore


Perhaps this is out of scope, but this Literal is redundant (and as this change implies, also incorrect), since inf and -inf are both assignable to float.

honno reviewed Feb 6, 2023

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rgommers added RFC Request for comments. Feature requests and proposed changes. topic: Static Typing Static typing. labels Feb 20, 2023

rgommers changed the title ~~Array Protocol~~ Add an Array Protocol & improve static typing support Feb 20, 2023

rgommers reviewed Feb 21, 2023

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kgryte reviewed Feb 22, 2023

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src/array_api_stubs/_draft/array_object.py Outdated Show resolved Hide resolved

nstarman force-pushed the protocol branch from a89e905 to 6b0a9e4 Compare March 1, 2023 05:46

nstarman force-pushed the protocol branch 5 times, most recently from c4d977e to 9d50eb5 Compare August 12, 2023 21:11

nstarman marked this pull request as ready for review August 12, 2023 21:21

nstarman requested review from rgommers, honno and kgryte August 14, 2023 20:15

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nstarman requested a review from honno August 18, 2023 03:00

honno approved these changes Aug 18, 2023

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nstarman force-pushed the protocol branch 3 times, most recently from 869cfde to 496c356 Compare September 12, 2023 04:14

nstarman requested review from BvB93 and asmeurer September 12, 2023 04:46

nstarman force-pushed the protocol branch from a66d7dc to dfea87d Compare September 12, 2023 14:06

aaronmondal mentioned this pull request Sep 15, 2023

Improve ellipsis type #686

Open

nstarman and others added 7 commits September 21, 2023 10:51

refactor Array as a Protocol

59356f0

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

Add a couple of type: ignore comments for __eq__ and __ne__

e6fefe8

Resolve some Sphinx doc build errors

bd37ce2

Sphinx doesn't set `TYPE_CHECKING`, but does use the type annotations. `Self` is unknown to Sphinx, so should be filtered out to prevent lots of errors.

static typing and documentation

b05fa34

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

Add device protocol to fix type ignore

95d390e

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

use general Array protocol for other in comparisons

e1e8063

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

Correct type hints in to_device and dlpack

e2b373d

Signed-off-by: nstarman <nstarman@users.noreply.github.com>

nstarman force-pushed the protocol branch from dfea87d to e2b373d Compare September 21, 2023 14:58

honno mentioned this pull request Oct 23, 2023

Type hints for other projects #697

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rgommers mentioned this pull request Nov 12, 2023

RFC: new rule category for array-agnostic code (XP) astral-sh/ruff#8615

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leofang mentioned this pull request Jan 12, 2024

Tracking issue for the 2023 revision of the array API specification #643

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honno mentioned this pull request Mar 18, 2024

Support for older versions of the standard data-apis/array-api-strict#8

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[FEATURE]: Implement support for Python Array API Standard. colour-science/colour#1244

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honno mentioned this pull request Apr 10, 2024

Plans to publish signatures to pypi? #411

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cbourjau mentioned this pull request Aug 2, 2024

MinMaxScaler is not array API compliant if clip=True scikit-learn/scikit-learn#29607

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Request: add option to return strict API data-apis/array-api-compat#180

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TYP: scipy-stubs and the path towards typing scipy scipy/scipy#21614

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kgryte removed this from the v2024 milestone Oct 31, 2024

	def device(self) -> "Device": # type: ignore[type-var]
	def device(self) -> Any:

Add an Array Protocol & improve static typing support #589

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Add an Array Protocol & improve static typing support #589

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