Annotations Best Practices — annotations Quirks
In all versions of Python 3, function objects lazy-create an annotations dict if no annotations are defined on that object.
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In all versions of Python 3, function objects lazy-create an annotations dict if no annotations are defined on that object. You can delete the annotations attribute using del fn.annotations, but if you then access fn.annotations the object will create a new empty dict that it will store and return as its annotations. Deleting the annotations on a function before it has lazily created its annotations dict will throw an AttributeError; using del fn.annotations twice in a row is guaranteed to always throw an AttributeError.
Everything in the above paragraph also applies to class and module objects in Python 3.10 and newer.
In all versions of Python 3, you can set annotations on a function object to None. However, subsequently accessing the annotations on that object using fn.annotations will lazy-create an empty dictionary as per the first paragraph of this section. This is not true of modules and classes, in any Python version; those objects permit setting annotations to any Python value, and will retain whatever value is set.
If Python stringizes your annotations for you (using from future import annotations), and you specify a string as an annotation, the string will itself be quoted. In effect the annotation is quoted twice. For example
This prints {'a': "'str'"}. This shouldn't really be considered a "quirk"; it's mentioned here simply because it might be surprising.
If you use a class with a custom metaclass and access annotations on the class, you may observe unexpected behavior; see 749 for some examples. You can avoid these quirks by using annotationlib.get_annotations on Python 3.14+ or inspect.get_annotations on Python 3.10+. On earlier versions of Python, you can avoid these bugs by accessing the annotations from the class's ~type.dict (for example, cls.dict.get('annotations', None)).
In some versions of Python, instances of classes may have an annotations attribute. However, this is not supported functionality. If you need the annotations of an instance, you can use type to access its class (for example, annotationlib.get_annotations(type(myinstance)) on Python 3.14+).
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Python Documentation — Doc/howto/annotations.rst :: annotations Quirks ↗Revision f10166035d60 · PSF-2.0 and attribution