Syntax
object.__hash__(x)
The Python __hash__()
method implements the built-in hash()
function. So, when you cal hash(x)
, Python attempts to call x.__hash__()
. If the return value is not an integer or the x.__hash__()
method is not defined, Python will raise a TypeError
.
We call this a “Dunder Method” for “Double Underscore Method” (also called “magic method”). To get a list of all dunder methods with explanation, check out our dunder cheat sheet article on this blog.
Background hash()
Python’s built-in hash(object)
function takes one object as an argument and returns its hash value as an integer. You can view this hash value as a unique fingerprint of this object.
As the hash value is calculated based on the object’s data, two different but equal objects must have the same hash value. It doesn’t follow, though, that two objects with the same hash value are equal—they can have the same hash value and still be different.
Example Custom __hash__()
In the following example, you create a custom class Data
and overwrite the __hash__()
magic method so that it returns an integer when trying to call hash(x)
on a custom Data
object.
class Data: def __hash__(self): return 42 x = Data() res = hash(x) print(res) # 42
Default __hash__()
If you don’t define the __hash__()
magic method, Python will return its own integer hash value because __hash__()
is implemented for every Python object.
class Data: pass x = Data() res = hash(x) print(res) # 42
This is the output on my computer—it will probably be different on yours because the result represents a specific memory address of the object:
116229704442
TypeError: __hash__ method should return an integer
If the Python __hash__
function doesn’t return an integer value, Python will raise the TypeError: __hash__ method should return an integer
upon calling hash()
on a given object. To fix this error, you need to change the return value of __hash__()
to an integer value.
Consider the following code snippet where you try to return a string in the dunder method __hash__()
:
class Data: def __hash__(self): return 'finxter' x = Data() res = hash(x) print(res)
Running this leads to the following error message on my computer:
Traceback (most recent call last): File "C:\Users\xcent\Desktop\code.py", line 7, in <module> res = hash(x) TypeError: __hash__ method should return an integer
Good Practices __hash__
There are some requirements that should be satisfied when implementing your own custom __hash__()
method. I’ll list them here as a bullet list:
- The return value must be an integer.
- Objects that compare equal have the same hash value. So, if
x==y
, it should follow thatx.__hash__() == y.__hash__()
. It follows that if a class doesn’t define__eq__()
to check equality, it should not implement__hash__()
either. - The return value from
x.__hash__()
is truncated to 4-8 bytes when callinghash(x)
, so make sure you don’t accidentally lose this information. You can see that the outputs differ for huge integers here:
class Data: def __hash__(self): return 99999999999999999999999999999999999999999999999999 x = Data() res = hash(x) print(res) # 619332571178673745
- The
__hash__
method on a given object often returns the result of putting the state of the object, i.e., its attribute values, into a tuple and hashing the tuple. Here’s an example:
class Person: def __init__(self, name, age, sex): self.name = name self.age = age self.sex = sex def __hash__(self): return hash((self.name, self.age, self.sex)) ann = Person('Ann', 23, 'w') ann_2 = Person('Ann', 23, 'w') alice = Person('Alice', 33, 'w') print(hash(ann)) print(hash(ann_2)) print(hash(alice))
The output shows that the first two objects, although different instances, produce the same hash value:
5084601898576458507 5084601898576458507 -1197787602517711359
References:
- https://docs.python.org/3/reference/datamodel.html
- https://docs.python.org/3.5/reference/datamodel.html#object.__hash__
Where to Go From Here?
Enough theory. Let’s get some practice!
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