在类定义中使用__annotations__字典为实例属性添加类型注解: class Person: __annotations__["name"] = str __annotations__["age"] = int def __init__(self, name: str, age: int): self.name = name self.age = age jane = Person("Jane", 30)
__annotations__[str(k)])) ret = fn(*args, **kwargs) return ret return wrapper @check # add = check(add) #add=>wrapper def add(x: int, y: int) -> int: return x + y add(4, y=5) {'x': <class 'int'>, 'y': <class 'int'>, 'return': <class 'int'>} [<class ...
if__name__=='__main__':print(goods_producing.__annotations__)# 结果：{'name': <class 'st...
defgreet(name:str)->str:return'Hello, '+nameprint(greet.__annotations__) 1. 2. 3. 4. 输出结果为: {'name':<class'str'>,'return':<class'str'>} 1. 可以看到,__annotations__属性返回了一个字典,其中包含了函数参数和返回值的注解。在这个例子中,'name'和'return'是字典的键,对应的值分别...
其他@target 如 field,class 方法类似getannotation(annotationname.class) 表示得到该 target 某个annotation 的信息,因为一个 target 可以被多个 annotation 修饰**根据注解类型返回方法的指定类型注解*methodinfo annotation = (methodinfo)constructor .getannotation(methodinfo.class); getannotations() 则... ...
函数注解存放在函数的属性annotations中,字典类型 {'x': <class'int'>,'y': <class'int'>,'return': <class'int'>} 类型注解 i:int=3j:str='abc' k:str=300 print(i, j, k) 类型注解 3.6版本引入 对变量类型的说明,非强制约束 第三方工具可以进行类型分析和推断 ...
我们可以通过 __annotations__ 查看一个函数的注解 def test(a: str, b: int = 2) -> None: pass print(test.__annotations__) 打印结果: {'a': <class 'str'>, 'b': <class 'int'>, 'return': None} 常用类型 int, long, float: 整型,长整形,浮点型; bool, str: 布尔型,字符串类型...
...print("You called method()!")...>>>type(SampleClass)<class'type'>>>dir(type)['__abstractmethods__','__annotations__','__base__','__bases__','__basicsize__','__call__',...]>>>sample_instance=SampleClass()>>>dir(sample_instance.method)['__call__','__class__',....
def singleton(cls): """Make a class a Singleton class (only one instance)""" @functools.wraps(cls) def wrapper_singleton(*args, **kwargs): if wrapper_singleton.instance is None: wrapper_singleton.instance = cls(*args, **kwargs) return wrapper_singleton.instance wrapper_singleton.instance ...
monkeytype - A system for Python that generates static type annotations by collecting runtime types. pytype - Pytype checks and infers types for Python code - without requiring type annotations. Command-line Interface Development Libraries for building command-line applications. Command-line Application...