A type-annotated attribute is a class, instance, or module-level variable explicitly bound to a type hint using the colon (Documentation Index
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:) syntax defined in PEP 526. These annotations provide static type metadata for static analysis tools (such as mypy or pyright) and are evaluated at runtime to populate the __annotations__ dictionary of the enclosing scope, though the Python interpreter does not enforce these types during execution.
Syntax
Runtime Mechanics
When the Python interpreter encounters a type-annotated attribute within a class body, it updates the class’s__annotations__ dunder attribute. The instantiation of the actual variable in memory depends on whether a default value is assigned:
- Uninitialized Annotations: If no default value is provided, the attribute’s type is recorded in
__annotations__, but the variable is not added to the class or instance__dict__. Attempting to access the attribute at runtime before explicitly assigning a value to it will raise anAttributeError. - Initialized Annotations: If a default value is provided, the attribute is added to both
__annotations__and the class__dict__.
ClassVar vs. Instance Attributes
By default, static type checkers interpret standard type-annotated attributes within a class body as instance attributes. To explicitly define an attribute as a class variable (indicating it is shared across all instances and should not be shadowed by an instance variable), the typing.ClassVar generic type is required.
ClassVar does not alter the behavior or memory layout of the attribute; it is purely a static typing construct. The __annotations__ dictionary will store the type as typing.ClassVar[int].
Stringified Annotations (PEP 563)
Iffrom __future__ import annotations is declared at the top of a module, Python defers the runtime evaluation of type-annotated attributes. Instead of storing the evaluated type objects (e.g., <class 'int'>), the __annotations__ dictionary stores the string representation of the type hint (e.g., 'int').
typing.get_type_hints().
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