Comments (6)
@lucaswiman Before you start with this approach, please note that I already did exactly this work. Including support for type variables. Including issubtype. Already supporting older versions of typing module, at least from 3.5.2.2 onwards. Tested with Python 2.7, 3.5, 3.6, 3.6.1 and even Jython.
Implementing this was much more involved than one might expect (e.g. getting things like issubtype(Tuple[int, int, int], Iterable[int])
right.) Honestly NamedTuple
is not yet supported, but it is on the agenda. Maybe you could at first try, if the existing approach might be already sufficient (see https://github.com/Stewori/pytypes#is_of_typeobj-cls). If it's not, maybe we can combine our efforts and improve it...?
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No, that looks fantastic! I searched for something which implements that collection of functionality, and could only find runtime typecheckers.
In the abstract, I think much of your pytypes
library would be better in the standard library (or at least linked from the typing
documentation), but for my particular interests, your library looks great!
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In the abstract, I think much of your pytypes library would be better in the standard library
Having read through the documentation in more detail, I guess only a small subset of it makes sense for the standard library, though several of the "Utilities" functions would be good candidates.
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After some thinking, it seems to me this should not be in typing_inspect
, mainly because it is hard to draw a line between "simple" and "non-simple" runtime checks. Plus there are excellent existing tools mentioned above.
Anyway, thanks for a nice write-up!
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That's disappointing; I do hope you'll reconsider after the typing
library matures. Obviously missing functionality in the standard library leads to a proliferation of incompatible third party libraries of varying quality (c.f. the history of urllib2
, requests
, etc. where "simple" functionality has a complicated answer as to what you should use.) Python has always advertised itself as "batteries included", and this seems like a glaringly missing battery.
From the perspective of an end user of typing
it feels like isinstance
is broken, and there's no functionality to replace it. Once pytypes
is released on pypi, linking to it in the typing
docs would help fill this gap.
Plus there are excellent existing tools mentioned above.
pytypes
hasn't been released on pypi and the other tools I could find did not implement this functionality in a simple form, so I disagree with you there. It may be the case in the future, but I don't think it is the case now.
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pytypes
hasn't been released on pypi and the other tools I could find did not implement this functionality in a simple form, so I disagree with you there. It may be the case in the future, but I don't think it is the case now.
I would say that this is a perfect reason for you to contribute to and improve these projects, so that they will suit your needs. The goal they declare seems to be what you need, while the main goal of typing_inspect
is mostly runtime introspection of types themselves.
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Related Issues (20)
- is_literal broken with new typing_extensions HOT 3
- get_origin gives inconsistent results for differently defined Unions HOT 3
- `is_generic_type(List)` is False in 3.9 HOT 6
- Add Final type
- get_origin(Dict) returns None in python 3.9 HOT 1
- Support Python 3.9 HOT 4
- Add a simple is_type(t) method HOT 2
- 0.6.0: test suite is failing HOT 3
- Python 3.9 support breaks List HOT 2
- ImportError on typing_extensions HOT 1
- Fix for Python 3.9.0/1 does not work with typing_extensions 3.7.4. HOT 1
- `typing_inspect.get_args` `Annotated` metadata args HOT 1
- test_typed_dict_typing_extension fails with typing_extensions==4.1.1 HOT 3
- New release? HOT 2
- `get_origin()` doesn't support PEP 585 generic types? HOT 2
- Breaks `marshmallow_dataclass.NewType` HOT 4
- `get_parameters` throws exception with non-indexed types from `typing` on python 3.10 HOT 1
- `typed_dict_keys` fails to return data on 3.10 HOT 1
- BUG: is_union_type return None sometime HOT 2
- `get_parameters` failed for Tuple HOT 6
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