Mailman 3 August 2022 - Typing-sig

Re: Support for import hooks for static, type checkers and IDEs
by Mikhail Golubev 06 Oct '22

06 Oct '22

Aha, thanks for your reply, Bernat! It seems like it hasn't been sent to typing-sig, though. Hopefully, the automatic quotation will keep everyone on the same page. Your presentation on the topic is just what I needed. (and the terriers are adorable!) > Can you detail how you achieve this? As far as I'm aware pylance doesn't do this, am I right Eric? Effectively, we scan through names in sys.builtin_module_names and binary modules found in sys.path, import them and try reconstructing a stub definition for each of them using the introspection facilities of the language. It's the second kind of stubs we operate with internally, in addition to .pyi stubs. These don't have type annotations, but e.g. preserve docstrings of the definitions. We also use them for navigation e.g. when one invokes "Go to definition" on a built-in function, such as "print". In theory, the same mechanism could be reused for modules that become available dynamically through import hooks, if it's what you're implying. On Mon, May 9, 2022 at 9:26 PM Bernat Gabor <gaborjbernat(a)gmail.com> wrote: > generate stubs for binary modules >> > > Can you detail how you achieve this? As far as I'm aware pylance doesn't > do this, am I right Eric? > >> >> When should this process be repeated? For .pth files, we rely on regular >> filesystem events from under site-packages. Am I right that >> STATIC_EXTRA.json should appear under "{package}-{version}.dist-info" >> directory, so we can expect that if it ever changes it will trigger another >> filesystem event in a known location? > > > Yes, in my vision, the file would be part of the dist-info, and as such > trackable as any other file for changes. > > Aren't editable installs, as they are, a mechanism too complicated just >> for exposing the content of "src" directory in sys.path? >> > > Exposing the src directory is what we historically did, and gets you 80% > there, but is not actually a true representation of what the user would > want in the other 20%. Editable installations at their core are a method to > develop a library without needing to reinstall it after every change. In > the trivial case, yes it can be achieved by just injecting the src folder > onto the sys.path via some mechanism (PYTHONPATH, cwd change, PTH file, > sitecustomize.py, etc). However, there are more complicated cases when this > approach will not work: > > - selective inclusion of what gets packaged (only package these > business logic files) > - selective exclusion of what gets packaged (don't package test files) > - any kind of code generation during the package build (either > C-extension or generate python code from a JSON schema) > > The goal we want to achieve in the new editable installations is to allow > supporting these additional use cases, even if with some limitations (e.g. > updates to files get picked up automatically but adding/removing new files > would still require a reinstallation - through tooling could hide this > away). My presentation from PyCon covered some of these, see > https://gaborbernat.github.io/pep-660-662-2022 (recording should also be > available in a few weeks). > > > On Mon, May 9, 2022 at 9:45 AM Mikhail Golubev < > mikhail.golubev(a)jetbrains.com> wrote: > >> Hi everyone! Sorry for joining the conversation *that* late. >> >> In short, PyCharm does support the current means of editable installs >> (.pth files) and does it very similar to what Eric described for Pyright. >> Namely, we have an interpreter "introspection" phase when we dynamically >> evaluate the content of sys.path with a helper script, as well as generate >> stubs for binary modules, retrieve the list of installed packages, etc. >> Because extra roots registered with .pth files automatically become visible >> in sys.path, we recognize them without any special handling. Although I'm >> not a huge fan of the idea, it is possible to add an extra step in this >> phase for checking either some physical file with metadata, such >> as STATIC_EXTRA.json, suggested by Bernat, or even another runtime value in >> addition to sys.path. >> >> Two questions, though. >> >> When should this process be repeated? For .pth files, we rely on regular >> filesystem events from under site-packages. Am I right that >> STATIC_EXTRA.json should appear under "{package}-{version}.dist-info" >> directory, so we can expect that if it ever changes it will trigger another >> filesystem event in a known location? >> >> who prefer to put the library into a src folder and use editable >>> installations to manifest the content of the src folder to the import >>> system (either via pth files, symlinks or import hooks). >> >> >> This is a bit confusing to me. Aren't editable installs, as they are, a >> mechanism too complicated just for exposing the content of "src" directory >> in sys.path? I believe that existing tooling offers plenty of options for >> altering the content of sys.path before running an executable script or >> tests, e.g. in PyCharm we automatically add the directories marked as >> "source roots" in PYTHONPATH before launching project run configurations, >> in tox.ini it's possible to prepend PYTHONPATH with an extra directory >> before launching tests, etc. There must be something else editable installs >> are necessary for and what "flat" projects, without the "src" subfolder, >> cannot achieve automatically. Is it extra steps in a package's setup.py, or >> working with multi-package projects where a few libraries are being >> developed simultaneously and share the same virtual environment? Could >> someone give me more context, please? >> >> On Sun, May 8, 2022 at 4:42 AM Bernat Gabor <gaborjbernat(a)gmail.com> >> wrote: >> >>> If there are serious discussions about deprecating ".pth" files, have >>>> there been any proposals for a replacement mechanism? Bernat, do you think >>>> that the "STATIC_EXTRA.json" mechanism you have in mind could be that >>>> replacement? >>> >>> >>> No that's not my goal here. I think the primary reason people stay away >>> from import hooks is that IDEs don't support them. I know many people in my >>> work team spoke up against adopting PEP-660 when they found out it would >>> lose auto-imports. Very-very few people take the effort to work on >>> improving the existing systems. The majority just work around the problem >>> by using the old solutions (e.g. PTH) file with all their problems. Every >>> so often they ran into an issue caused by it, but then just blame wasting a >>> few hours for not having better solutions available. I think the same is >>> true with loading python modules from a database. Bigger companies might >>> have a proprietary custom plugin that works around the issue, and the rest >>> just live with what they have, they are well aware that if company Y wants >>> to load code from DB X pylance adding support for it is likely to close to >>> zero. After all, it's a custom DB and custom checker. >>> >>> Finally, for me personally as a packaging tools maintainer, it would be >>> very important that what we come up here does not impact the interpreter at >>> runtime (that should keep using the dynamic import hook). However, for ease >>> of development of libraries, I'd like libraries to have a mechanism to feed >>> their snapshot of dynamic code to the static checker. Otherwise extending >>> and writing a library would become even harder, and we're already >>> struggling with finding maintainers for projects. I'm OK with this better >>> solution taking a longer time than our current workaround ones (after all >>> until we get there we can keep using the current workarounds). >>> >>> Bernat >>> >>> On Sat, May 7, 2022 at 7:26 PM Bernat Gabor <gaborjbernat(a)gmail.com> >>> wrote: >>> >>>> Sadly, while the db/dynamic code stub files can be used to work around >>>> the problem; for files that live on the disk just not under the >>>> site-packages folder, they're less useful. >>>> >>>> What I mean that if I have a SRC folder on the disk and I'm using >>>> import hooks to expose them to the python interpreter as they would be >>>> installed into the purelib/platlib locations I cannot use the stub >>>> mechanism to expose these files to the static checkers. At best I could >>>> take all python files and copy them via a pyi files to a stub package. I'd >>>> like to get to a world where editable installations (even when implemented >>>> via import hooks) mostly work in IDEs. This will make significantly easier >>>> the life of these library developers. And while I agree users of the >>>> library are likely two order of magnitude bigger than maintainers, I think >>>> we can also agree that for a sustainable ecosystem the life of maintainers >>>> should also be easy as possible. Maintaining a library is already hard >>>> let's not make it harder by taking away the convenience of autocomplete in >>>> IDEs. >>>> >>>> On Sat, 7 May 2022, 19:02 Guido van Rossum, <guido(a)python.org> wrote: >>>> >>>>> On Sat, May 7, 2022 at 17:30 Bernat Gabor <gaborjbernat(a)gmail.com> >>>>> wrote: >>>>> >>>>>> >>>>>> TBH, if all we're trying to solve is editable installs, I am assuming >>>>>>> that those would be used by a vanishingly small proportion of users >>>>>>> (otherwise we're doing something else wrong with package installs), so I >>>>>>> would personally be okay if an editable install wasn't visible to my IDE or >>>>>>> type checker, or if those tools were to fall back to typeshed or a PEP 561 >>>>>>> stub package. >>>>>> >>>>>> >>>>>> Generally, they are two types of people when developing libraries: >>>>>> >>>>>> - who put everything in the current working directory and use the >>>>>> fact that the current working directory is added to the sys.path >>>>>> automatically - these people do not need editable installations as the lib >>>>>> appears to be installed without requiring installation, >>>>>> - who prefer to put the library into a src folder and use >>>>>> editable installations to manifest the content of the src folder to the >>>>>> import system (either via pth files, symlinks or import hooks). >>>>>> >>>>>> In my experience, there's roughly a 60 to 40 divide in favour of the >>>>>> first. Especially more experienced/advanced users tend to prefer the src >>>>>> layout over the inline approach. Based on this I don't think it's accurate >>>>>> to say that it's used by a vanishingly small proportion of users. I >>>>>> personally use it for all my projects, and for why src layout can be better >>>>>> than the inline source see Paul Ganssle blog post here >>>>>> https://blog.ganssle.io/tag/tox.html explaining some of the problems >>>>>> (what's in your source directory is not necessarily what'll be put in your >>>>>> purelib/platlib during installation). >>>>>> >>>>> >>>>> >>>>> Ah, that’s not what I meant. I meant very few users are developing >>>>> packages. E.g. there are millions of pandas users but few of them are >>>>> modifying pandas. (I hope. :-) >>>>> >>>>> Also, I do not think that what we want to solve is editable >>>>>> installations per se. What I'd like to solve here is supporting import >>>>>> hooks for static checkers. Editable installations are just a good example >>>>>> of where import hooks can be used. >>>>>> >>>>> >>>>> Agreed. >>>>> >>>>> Sadly, while the db/dynamic code stub files can be used to work around >>>>>> the problem; for disks that live on the disk just not under the >>>>>> site-packages folder, they're less useful. >>>>>> >>>>> >>>>> Not sure I follow. >>>>> >>>>> —Guido >>>>> >>>>> All the best, >>>>>> >>>>>> Bernat >>>>>> >>>>>> On Sat, May 7, 2022 at 6:11 PM Guido van Rossum <guido(a)python.org> >>>>>> wrote: >>>>>> >>>>>>> On Sat, May 7, 2022 at 4:14 PM Eric Traut <eric(a)traut.com> wrote: >>>>>>> >>>>>>>> Most static analysis tools already support “.pth” files. Jia >>>>>>>> mentioned that pyre doesn’t yet, but it should be straightforward for them >>>>>>>> to add this. My recommendation is that we rally behind “.pth” files. I >>>>>>>> think this approach is more pragmatic than introducing yet another >>>>>>>> mechanism that needs to be implemented by all of the tools in the ecosystem. >>>>>>>> >>>>>>> >>>>>>> Hm. You're the first person I've met in a long time who regards PTH >>>>>>> files as something we should do more of -- IIUC they are almost universally >>>>>>> considered a necessary evil. Especially the fact that they can be used to >>>>>>> do other stuff than add entries to sys.path. But also that -- a long >>>>>>> sys.path tends to slow down module search, and it seems just wrong that >>>>>>> adding N packages would append N sys.path entries: if we wanted each >>>>>>> package to have its own entry we should have designed it as a mapping, not >>>>>>> a search path. >>>>>>> >>>>>>> TBH, if all we're trying to solve is editable installs, I am >>>>>>> assuming that those would be used by a vanishingly small proportion of >>>>>>> users (otherwise we're doing something else wrong with package installs), >>>>>>> so I would personally be okay if an editable install wasn't visible to my >>>>>>> IDE or type checker, or if those tools were to fall back to typeshed or a >>>>>>> PEP 561 stub package. >>>>>>> >>>>>>> Regarding your claim that almost nobody loads code from a database, >>>>>>> apparently that's actually very popular in the banking sector ( >>>>>>> https://calpaterson.com/bank-python.html) -- and those people have >>>>>>> a *lot* of Python code. >>>>>>> >>>>>>> I believe that VS Code is using (or going to use, or may use?) a >>>>>>> Virtual Filesystem to access user code. Would it really be so terrible if >>>>>>> there were some corner of the VFS namespace to map to the Python module >>>>>>> (spec) namespace? It could be served from a Python process that can give >>>>>>> you the source of a module given its full name (without executing the >>>>>>> module, of course -- the import loader machinery should be able to >>>>>>> guarantee that already). >>>>>>> >>>>>>> -- >>>>>>> --Guido van Rossum (python.org/~guido) >>>>>>> *Pronouns: he/him **(why is my pronoun here?)* >>>>>>> <http://feministing.com/2015/02/03/how-using-they-as-a-singular-pronoun-can-…> >>>>>>> >>>>>> _______________________________________________ >>>>>>> Typing-sig mailing list -- typing-sig(a)python.org >>>>>>> To unsubscribe send an email to typing-sig-leave(a)python.org >>>>>>> https://mail.python.org/mailman3/lists/typing-sig.python.org/ >>>>>>> Member address: gaborjbernat(a)gmail.com >>>>>>> >>>>>> -- >>>>> --Guido (mobile) >>>>> >>>> _______________________________________________ >>> Typing-sig mailing list -- typing-sig(a)python.org >>> To unsubscribe send an email to typing-sig-leave(a)python.org >>> https://mail.python.org/mailman3/lists/typing-sig.python.org/ >>> Member address: mikhail.golubev(a)jetbrains.com >>> >> >> >> -- >> Mikhail Golubev >> Software Developer >> JetBrains >> http://www.jetbrains.com >> The drive to develop >> > -- Mikhail Golubev Software Developer JetBrains http://www.jetbrains.com The drive to develop

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Type narrowing for TypeGuard in the negative case
by Eric Traut 30 Sep '22

30 Sep '22

Since the introduction of PEP 647 (User-defined Type Guards), we've received a steady stream of input from users saying that they don't like the limitation that type narrowing is applied only in the positive case and is not applied in the negative case. In general, type narrowing is not safe to perform if a user-defined type guard returns False, so I've stood by the original decision not to provide type narrowing in the negative case, but there are cases where such narrowing is safe and desirable. Here's a recent thread where this was discussed in some detail: https://github.com/python/typing/issues/996#issuecomment-1002716830 In this discussion, Ilya Kamen proposed a solution. The proposal is to extend the existing `TypeGuard` to support an optional second type argument. If present, the second argument indicates the narrowed type in the negative type narrowing situation. Here's a simple (admittedly contrived) example: ```python def is_str(val: str | int) -> TypeGuard[str, int]: return isinstance(val, str) def func(val: str | int): if is_str(val): reveal_type(val) # str else: reveal_type(val) # int ``` I've implemented this proposal in the latest published version of pyright (1.1.202) so folks can experiment with it and see if they like it. If there's general consensus that it's the right approach, I can file an amendment for the existing PEP 647 to include this functionality. It was trivial to add to pyright, so I'm optimistic that it would likewise be easy to add to the other type checkers. Another common request for PEP 647 is the desire for an "assert" form of TypeGuard — a way to indicate that a function performs runtime validation of a type, raising an exception if the type is incorrect. It occurred to me that this two-argument form of `TypeGuard` could also be used to handle this use case. The second argument would be specified as a `NoReturn`. I've provisionally implemented this in pyright as well (although it's not in the currently-published version — you'll need to wait until 1.1.203 is published). Here's what this would look like: ```python def validate_sequence(val: Sequence[_T | None]) -> TypeGuard[Sequence[_T], NoReturn]: """Verifies that the sequence contains no None values""" if len([x for x in val if x is not None]) > 0: raise Exception() return True def func(val: Sequence[int | None]): validate_sequence(val) reveal_type(val) # Sequence[int] ``` I'm interested in input on these proposals. -Eric -- Eric Traut Contributor to Pyright & Pylance Microsoft

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Re: Typing Meetup
by S Pradeep Kumar 14 Sep '22

14 Sep '22

Updating the Typing Meetup date to Wednesday as there were some conflicts. Let me know if there are any major time conflicts. Date: *Wednesday, November 03, 2021.*Time: 10 am San Francisco time (UTC-7) / 5 pm London time (UTC) Duration: 1 hour Potential discussion topics: + Typing **kwargs using a TypedDict (Franek Magiera?, Pradeep) [1] + Remaining questions about Callable syntax (Steven) + Non-required Protocol fields (Sebastian Rittau?) [2] + Type support for sealed classes (Adrian Freund?) [3] + Safe, typed JSON validation + Type system documentation (Shannon?) If you're working on these or any other topics and would like to start a discussion at the meetup, reach out to me. If you have interesting topics you'd like to see discussed, share them too. Once we have topics, we can always start a discussion even if there's no proposer yet. We will probably have time for 3-4 topics in this session. On Fri, Oct 15, 2021 at 12:55 PM S Pradeep Kumar <gohanpra(a)gmail.com> wrote: >>> >>>> Hello all, >>>> >>>> We plan to hold a virtual Typing Meetup to discuss key typing-related >>>> issues in real-time. The idea is that we can make progress on important or >>>> controversial discussions, get early feedback on in-progress PEPs, and >>>> gauge interest in new proposals. >>>> >>>> A virtual meetup will be more accessible to people in other timezones >>>> than Bay Area in-person meetups. It should also help consolidate >>>> discussions that are often spread out across mailing lists or Github repos. >>>> The tentative plan is to have a monthly meetup, but we can change that as >>>> needed. >>>> >>>> Date: Monday, November 01, 2021. >>>> Time: 10 am San Francisco time (UTC-7) / 5 pm London time (UTC) >>>> Duration: 1 hour >>>> >>>> Time and date are flexible. I'll share the zoom link and agenda the >>>> week before. I'll also record the meetup and share afterwards. >>>> >>>> If you're interested in presenting a new proposal or your work on some >>>> existing proposal, please respond here. We can shoot for 15 minutes per >>>> presentation. I know there are quite a few interesting threads on >>>> typing-sig that haven't seen much activity in a while :) >>>> -- >>>> S Pradeep Kumar >>>> _______________________________________________ >>>> Typing-sig mailing list -- typing-sig(a)python.org >>>> To unsubscribe send an email to typing-sig-leave(a)python.org >>>> https://mail.python.org/mailman3/lists/typing-sig.python.org/ >>>> Member address: guido(a)python.org >>> >>> Links: [1] Typing **kwargs using TypedDict: https://mail.python.org/archives/list/typing-sig@python.org/thread/IUCXT2IQ… [2] Non-required Protocol fields: https://mail.python.org/archives/list/typing-sig@python.org/thread/P6FCGRJU… [3] Sealed classes: https://mail.python.org/archives/list/typing-sig@python.org/thread/QSCT2N4R… -- S Pradeep Kumar

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Any way to express that a dict is expected to have a key(s) but don't care about other keys?
by Brett Cannon 10 Sep '22

10 Sep '22

Looking at TypedDict it seems that it does not like the idea of superfluous keys existing in a dict. In my case I have a REST call returning JSON for an error and all I'm guaranteed is to get an "error" key. But there may be extra keys that provide more details about the specific error. Unfortunately I don't know the exhaustive list of keys so I can't use a TypedDict with `totality == False` to try to be complete. I can't think of any way to somehow say "require/expect this one key, but other keys are OK". Am I missing anything that would let me do this?

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Proposal for @typing.override
by Steven Troxler 07 Sep '22

07 Sep '22

Thanks to everyone who provided feedback about an override decorator in last week’s meetup! We have finished an initial draft proposal [1]. We’re happy to take comments and suggestions on this doc; we also looking for a sponsor so we can put a PR together. We also specifically wanted to call out some edge cases that might be worth addressing in the “Specification” section related to how override interacts with regular attributes. The main override-specific question is whether we care about a way to mark attribute assignments as overrides, since they are subject to the same renaming bugs. But that brings up a few more edge cases such as properties and methods that override attributes. We’ve drawn up a doc [2] highlighting all these edge cases and would love to hear feedback. - Joshua Xu and Steven Troxler ------------------ [1] Draft PEP for @typing.override https://docs.google.com/document/d/1dBkHKaOCqttnqzPo7kw1dzvbuFzNoOdx7OPyfbJ… [2] Edge cases related to attributes https://docs.google.com/document/d/1dhlcKKuYtGN9Eftr1hu9U6EKzsS0NPuQm01b7br… [3] Slides from last week's presentation https://drive.google.com/drive/folders/1sGZ0WBLaVBkCb0AT7tneCEwbATxgisI2 [4] Original thread regarding override https://mail.python.org/archives/list/typing-sig@python.org/thread/V23I4D6D…

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Opened and changed typing issues week 2022-W34
by Typing Bot 29 Aug '22

29 Aug '22

The following is an overview of all issues and pull requests in the typing repository on GitHub with the label 'topic: feature' that were opened or updated last week, excluding closed issues. --------------------------------------------------- The following issues and pull requests were updated last week: #182 Define a JSON type opened by @brettcannon https://github.com/python/typing/issues/182 --------------------------------------------------- All issues and pull requests with the label 'topic: feature' can be viewed under the following URL: https://github.com/python/typing/issues?q=label%3A%22topic%3A+feature%22

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Creating types with functions/classes
by Patrick Arminio 24 Aug '22

24 Aug '22

Hello everyone! I want to see what's your opinion on allowing functions to return types and allow them to be used by a mypy and other type checkers. For context, I have a library that allows to annotate function arguments with some metadata, and it looks similar to this: ```python def argument(name: str, description: str) -> dict: return {"name": name, "description": description} def get_user_name(id_: Annotated[int, argument(name="id", description="this should be an uuid")]) -> str | None: return None ``` this works fine, but I was wondering if we could do something (or allow) like this: ```python def argument(type_: T, *, name: str, description: str) -> T: return Annotated[type_, {"name": name, "description": description}] def get_user_name(id_: argument(int, name="id", description="this should be an uuid")) -> str | None: return None ``` it might seem like a minor change, but to me it feels like it could improve the dx of my library 😊 Just to clarify, the goal is not to allow dynamic types, it is more to have a convenient way of making an alias to lazy type Let me know what you think

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Opened and changed typing issues week 2022-W33
by Typing Bot 22 Aug '22

22 Aug '22

The following is an overview of all issues and pull requests in the typing repository on GitHub with the label 'topic: feature' that were opened or updated last week, excluding closed issues. --------------------------------------------------- The following issues and pull requests were updated last week: #1043 TypingError: type checker will emit error with a message specified in typing stubs opened by @Akuli https://github.com/python/typing/issues/1043 --------------------------------------------------- All issues and pull requests with the label 'topic: feature' can be viewed under the following URL: https://github.com/python/typing/issues?q=label%3A%22topic%3A+feature%22

1 0

Explicit Type Aliases
by Shannon Zhu 18 Aug '22

18 Aug '22

Hi everyone, I’d like to continue the discussion from our last typing summit on explicit type aliases. A quick summary of the current state and the proposal -- Current state: ``` from typing import List x = List[int] # considered a type alias y : Type[List[int]] = List[int] # considered an expression z : Any # considered a type alias z : x = [] # fine z : y = [] # invalid type error ``` Proposal (with explicit aliases): ``` from typing import List, TypeAlias x = TypeAlias[List[int]] # considered a type alias y = List[int] # considered an expression z : Any # considered an expression z = TypeAlias[Any] # considered a type alias reveal_type(x) # Type[List[int]] reveal_type(y) # Any (return type of __getitem__) z : x = [] # fine z : y = [] # invalid type error ``` Some of the benefits we’re hoping to gain from explicit type aliases: * Clearly distinguish between an unannotated global assignment and a type alias, especially when parsing forward-referencing string annotations. * Avoid the confusing case of type aliases in which some part of the type is invalid or undefined. This would facilitate warnings on invalid types at the alias definition rather than later on when the alias is used. * Make valid and invalid types more intuitive to Python programmers by shifting from delineation of non-aliases with a meta annotation toward delineation of aliases with `TypeAlias`. * Remove special treatment of values annotated as `Any`, which currently break all type aliasing rules. This will also allow us to clean up some of the distinctions we maintain between unannotated values and explicit Anys. Note: We also considered denoting the alias as an annotation (e.g. `x: TypeAlias = int`) as an alternative to the syntax above. I’m interested to hear your thoughts and suggestions on making type aliasing explicit going forward – we’d like to start implementing a version of this in Pyre soon! Shannon

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Defaults for TypeVar-likes
by James H-B 18 Aug '22

18 Aug '22

I've been toying with the idea of writting a PEP for this long requested feature (https://github.com/python/typing/issues/307). I've got a preliminary draft of it with the motivation and a specification for the feature. In short features like ```py T = TypeVar("T", default=int) # This means that if no type is specified T = int @dataclass class Box(Generic[T]): value: T | None = None reveal_type(Box()) # type is Box[int] reveal_type(Box(value="Hello World!")) # type is Box[str] ``` would be supported as would ```py YieldT = TypeVar("YieldT") SendT = TypeVar("SendT", default=None) ReturnT = TypeVar("ReturnT", default=None) class Generator(Generic[YieldT, SendT, ReturnT]): ... Generator[int] == Generator[int, None] == Generator[int, None, None] ``` Feedback and any questions on this would be very appreciated. https://gist.github.com/Gobot1234/8c9bfe8eb88f5ad42bf69b6f118033a7 Thanks, James H-B.

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