PEP-557将数据类引入 Python 标准库,基本上可以充当collections.namedtuple和typing.NamedTuple的角色。现在我想知道如何分离 namedtuple 仍然是更好解决方案的用例。 数据类优于 NamedTuple 当然,如果我们需要,所有功劳都归功于dataclass: 可变对象 继承支持 property装饰器,可管理属性 开箱即用的生成方法定义或可自定义的...
class Employee(NamedTuple): name: str id: int 这相当于: Employee = collections.namedtuple('Employee', ['name', 'id']) To give a field a default value, you can assign to it in the class body: class Employee(NamedTuple): name: str id: int = 3 employee = Employee('Guido') assert...
Typed version of collections.namedtuple(). 用法: class Employee(NamedTuple): name: str id: int 这相当于: Employee = collections.namedtuple('Employee', ['name', 'id']) To give a field a default value, you can assign to it in the class body: class Employee(NamedTuple): name: str id...
class Employee(NamedTuple): name: str id: int 这相当于: Employee = collections.namedtuple('Employee', ['name', 'id']) To give a field a default value, you can assign to it in the class body: class Employee(NamedTuple): name: str id: int = 3 employee = Employee('Guido') assert...
typing.NamedTuple和PyCharm 、、、 我怎样才能让typing.NamedTuple和PyCharm玩得更好?collections.namedtuple工作得很好:B = collections.namedtuple('B', ['i'])b.iimporttypinga = A(1) a 浏览7提问于2016-03-17得票数8 回答已采纳 1回答 如何定义不是类的泛型类型?
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Introduction This issue is reserved for substantive work on PEP 526, "Syntax for Variable and Attribute Annotations". For textual nits please comment directly on the latest PR for this PEP in the peps repo. I sent a strawman proposal to ...
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from collections.abc import Iterable class MyIterable(Iterable): # Same as Iterable[Any] 还支持用户定义的泛型类型别名。例如: from collections.abc import Iterable from typing import TypeVar, Union S = TypeVar('S') Response = Union[Iterable[S], int] # Return type here is same as Union[Iter...
Repositories Topics Trending Collections Enterprise Enterprise platform AI-powered developer platform Available add-ons Advanced Security Enterprise-grade security features GitHub Copilot Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... ...