typing.get_type_hints()可以做的范围似乎是有限制的。我觉得这很奇怪，这种类型构造在其他场景中似乎不是问题。一些快速测试发现，作为另一个类类型的子类，它可以很好地处理您的Test类型。以前就了解过Java泛型的实现是不完整的，最近在做一些代码重构的时候遇到一些Java泛型类型擦除的问题，简单的来说，Java泛型中所
用法: typing.get_type_hints(obj, globalns=None, localns=None, include_extras=False) 返回包含函数、方法、模块或类对象的类型提示的字典。 这通常与obj.__annotations__相同。此外,编码为字符串文字的前向引用是通过在globals和locals命名空间中评估它们来处理的。如有必要,如果设置了等于None的默认值,则会为...
坦率地说，我能够这样做有点惊讶。至少从表面上看，问题似乎与InitVar有关，以及typing.get_type_hints...
Take this example code: from typing import * def test(): class A(NamedTuple): a: int class B(NamedTuple): a: A b: int return get_type_hints(B) test() Of course this works fine: python3.9 test.py {'a': <class '__main__.test.<locals>.A'>, ...
[typing: PEP 646]:*tuple[int, int]is improperly evaluated byget_type_hints#101015 Closed hjalmarluciusopened this issueJan 13, 2023· 10 comments hjalmarluciuscommentedJan 13, 2023• edited by bedevere-bot Bug report Unpack information oftyping.GenericAliasis not transferred from string annotation...
self.assertEqual(get_type_hints(foo, globals(), locals())['x'], C[C]) self.assertEqual(get_type_hints(foo, globals(), locals())['x'].__slots__, C.__slots__) self.assertEqual(copy(C[int]), deepcopy(C[int])) Example #5Source File: type_util.py From pytypes with Apache...
Type hints in Python involve a colon and a type declaration after the first invocation of a name in a namespace. Here’s an example: name:strage:intname =input("Your name?") age =int(input("Your age?"))# alternatively, and more simply:name:str=input("Your name?") age:int=int(in...
问如何在Python3.8中使用`typing.get_type_hints`与PEP585？EN...function和变量注释将不再在定义时...
I'm not sure if you're aiming for exact compatibility among python versions for all of the functions you support or not. But due to python/cpython#90353, get_type_hints with include_extras=True has inconsistent behavior among python vers...
Describe the bug Calling typing.get_type_hints on a class that inherits from ModelHubMixin results in a NameError when trying to resolve its type. This happens because "DataclassInstance" (used in ModelHubMixin annotations) isn't availab...