Hash Method Generation#
The overarching theme is to never set the
@attr.s(hash=X) parameter yourself.
Leave it at
None which means that
attrs will do the right thing for you, depending on the other parameters:
If you want to make objects hashable by value: use
If you want hashing and equality by object identity: use
hash yourself can have unexpected consequences so we recommend to tinker with it only if you know exactly what you’re doing.
The hash of an object is an integer that represents the contents of an object.
It can be obtained by calling
hash on an object and is implemented by writing a
__hash__ method for your class.
attrs will happily write a
__hash__ method for you 1, however it will not do so by default.
Because according to the definition from the official Python docs, the returned hash has to fulfill certain constraints:
Two objects that are equal, must have the same hash. This means that if
x == y, it must follow that
hash(x) == hash(y).
By default, Python classes are compared and hashed by their
id. That means that every instance of a class has a different hash, no matter what attributes it carries.
It follows that the moment you (or
attrs) change the way equality is handled by implementing
__eq__which is based on attribute values, this constraint is broken. For that reason Python 3 will make a class that has customized equality unhashable. Python 2 on the other hand will happily let you shoot your foot off. Unfortunately,
attrsstill mimics (otherwise unsupported) Python 2’s behavior for backward compatibility reasons if you set
The correct way to achieve hashing by id is to set
eq=True) is almost certainly a bug.
Be careful when subclassing! Setting
eq=Falseon a class whose base class has a non-default
__hash__method will not make
It is part of
attrs’s philosophy to only add to classes so you have the freedom to customize your classes as you wish. So if you want to get rid of methods, you’ll have to do it by hand.
The easiest way to reset
__hash__on a class is adding
__hash__ = object.__hash__in the class body.
If two objects are not equal, their hash should be different.
While this isn’t a requirement from a standpoint of correctness, sets and dicts become less effective if there are a lot of identical hashes. The worst case is when all objects have the same hash which turns a set into a list.
The hash of an object must not change.
If you create a class with
@attr.s(frozen=True)this is fulfilled by definition, therefore
attrswill write a
__hash__function for you automatically. You can also force it to write one with
hash=Truebut then it’s your responsibility to make sure that the object is not mutated.
This point is the reason why mutable structures like lists, dictionaries, or sets aren’t hashable while immutable ones like tuples or frozensets are: point 1 and 2 require that the hash changes with the contents but point 3 forbids it.
For a more thorough explanation of this topic, please refer to this blog post: Python Hashes and Equality.
Hashing and Mutability#
Changing any field involved in hash code computation after the first call to
__hash__ (typically this would be after its insertion into a hash-based collection) can result in silent bugs.
Therefore, it is strongly recommended that hashable classes be
Beware, however, that this is not a complete guarantee of safety:
if a field points to an object and that object is mutated, the hash code may change, but
frozen will not protect you.
Hash Code Caching#
Some objects have hash codes which are expensive to compute.
If such objects are to be stored in hash-based collections, it can be useful to compute the hash codes only once and then store the result on the object to make future hash code requests fast.
To enable caching of hash codes, pass
This may only be done if
attrs is already generating a hash function for the object.
The hash is computed by hashing a tuple that consists of a unique id for the class plus all attribute values.