Isa*_*and 0 python performance properties
是否可以在创建python属性后更改其getter?
class A:
_lookup_str = 'hi'
@property
def thing():
value = some_dictionary[_lookup_str]
# overwrite self.thing so that it is just value, not a special getter
return value
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我的想法是,一旦我查了一次,我就不必再查一遍了(字典永远不会改变).我可以:
class A:
_lookup_str = 'hi'
_thing = None
@property
def thing():
if not value:
value = some_dictionary[_lookup_str]
return value
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但即使在那里,我正在测试一个条件 - 这比我完全删除吸气剂并用一个值替换它更有效.
Werkzeug有一个cached_property装饰器,可以完全满足您的需求.它只是__dict__在第一次函数调用后用第一次调用的输出替换函数的条目.
这是代码(来自github上的werkzeug.utils并略微编辑了长度):
_missing = object()
class cached_property(object):
"""A decorator that converts a function into a lazy property. The
function wrapped is called the first time to retrieve the result
and then that calculated result is used the next time you access
the value::
class Foo(object):
@cached_property
def foo(self):
# calculate something important here
return 42
The class has to have a `__dict__` in order for this property to
work.
"""
# implementation detail: this property is implemented as non-data
# descriptor. non-data descriptors are only invoked if there is
# no entry with the same name in the instance's __dict__.
# this allows us to completely get rid of the access function call
# overhead. If one choses to invoke __get__ by hand the property
# will still work as expected because the lookup logic is replicated
# in __get__ for manual invocation.
def __init__(self, func, name=None, doc=None):
self.__name__ = name or func.__name__
self.__module__ = func.__module__
self.__doc__ = doc or func.__doc__
self.func = func
def __get__(self, obj, type=None):
if obj is None:
return self
value = obj.__dict__.get(self.__name__, _missing)
if value is _missing:
value = self.func(obj)
obj.__dict__[self.__name__] = value
return value
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(顺便说一句 - 发布代码或代码链接更好吗?)
如果您想了解有关其工作原理的更多信息,请查看描述符上的Python文档.上面的代码创建了一个非数据描述符(不像@property),允许它被覆盖.
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