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Annotated provides a decorator that flags a function's annotations as useful, callable expressions. Each annotation will be called with its corresponding argument as first parameter, and the result will replace that argument.
If no annotation was specified for this particular argument, it will behave as if lambda x: x
had been used as annotation.
@annotated
DecoratorThe @annotated
decorator is meant to decorate functions, or other objects with a __code__
attribute (a class is not one). It indicates that the function decorated has "active" annotations, for example:
from annotated import annotated
@annotated
def hello(name: str):
print('Hello, ' + name + '!')
hello('world')
# "Hello, world!"
hello(None)
# "Hello, None!"
Albeit a bad example (one would rather use str.format
or the %
notation to include a value in a string), this illustrates the behaviour of an @annotated
function.
Used this way, @annotated
ensures that the name
argument of the hello
function is always a character string.
@annotated
also respects default values, and applies annotations to them. Thus, if we were to rewrite hello
such as:
from annotated import annotated
@annotated
def hello(name: str='world'):
print('Hello, ' + name + '!')
hello()
# "Hello, world!"
The default value would be honored, as well as any non-defaults.
It should be noted that @annotated
supports both return annotations (->
), keyword argument annotations and *
/**
annotations.
Using @annotated
on an incompatible (__code__
-less) object will result in a TypeError
exception.
FAQs
Apply annotations as callables on their respective arguments
We found that annotated demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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