from __future__ import annotations
from typing import Any, Callable
class cachedproperty: # noqa: N801
"""A decorator for caching a property's result.
Similar to :py:class:`property`, but the wrapped method's result is cached on the
instance. This is achieved by setting an entry in the object's instance dictionary
with the same name as the property. When the name is later accessed, the value in
the instance dictionary takes precedence over the (non-data descriptor) property.
This is useful for implementing lazy-loaded properties.
The cache can be invalidated via :py:meth:`delattr`, or by modifying ``__dict__``
directly. It will be repopulated on next access.
.. versionadded:: 6.3.0
"""
# This to make sphinx run properly
def __call__(self, *args: Any, **kwargs: Any): # pragma: no cover
"""Empty method to make sphinx run properly."""
def __get__(self, obj: Any | None, objtype: Any | None = None) -> Any:
"""Implement descriptor getter.
Calculate the property's value and then store it in the associated object's
instance dictionary.
"""
if obj is None:
return self
value = obj.__dict__[self.func.__name__] = self.func(obj)
return value
def __init__(self, func: Callable[[Any], Any], doc: str | None = None):
"""Initialize a :class:`.cachedproperty` instance."""
self.func = self.__wrapped__ = func
if doc is None:
doc = func.__doc__
self.__doc__ = doc
def __repr__(self) -> str:
"""Return an object initialization representation of the instance."""
return f"<{self.__class__.__name__} {self.func}>"