When writing custom classes it is often important to allow equivalence by means of the ==
and !=
operators. In Python, this is made possible by implementing the __eq__
and __ne__
special methods, respectively. The easiest way I've found to do this is the following method:
class Foo:
def __init__(self, item):
self.item = item
def __eq__(self, other):
if isinstance(other, self.__class__):
return self.__dict__ == other.__dict__
else:
return False
def __ne__(self, other):
return not self.__eq__(other)
Do you know of more elegant means of doing this? Do you know of any particular disadvantages to using the above method of comparing __dict__
s?
Note: A bit of clarification--when __eq__
and __ne__
are undefined, you'll find this behavior:
>>> a = Foo(1)
>>> b = Foo(1)
>>> a is b
False
>>> a == b
False
That is, a == b
evaluates to False
because it really runs a is b
, a test of identity (i.e., "Is a
the same object as b
?").
When __eq__
and __ne__
are defined, you'll find this behavior (which is the one we're after):
>>> a = Foo(1)
>>> b = Foo(1)
>>> a is b
False
>>> a == b
True
Consider this simple problem:
class Number:
def __init__(self, number):
self.number = number
n1 = Number(1)
n2 = Number(1)
n1 == n2 # False -- oops
So, Python by default uses the object identifiers for comparison operations:
id(n1) # 140400634555856
id(n2) # 140400634555920
Overriding the __eq__
function seems to solve the problem:
def __eq__(self, other):
"""Overrides the default implementation"""
if isinstance(other, Number):
return self.number == other.number
return False
n1 == n2 # True
n1 != n2 # True in Python 2 -- oops, False in Python 3
In Python 2, always remember to override the __ne__
function as well, as the documentation states:
There are no implied relationships among the comparison operators. The truth of
x==y
does not imply thatx!=y
is false. Accordingly, when defining__eq__()
, one should also define__ne__()
so that the operators will behave as expected.
def __ne__(self, other):
"""Overrides the default implementation (unnecessary in Python 3)"""
return not self.__eq__(other)
n1 == n2 # True
n1 != n2 # False
In Python 3, this is no longer necessary, as the documentation states:
By default,
__ne__()
delegates to__eq__()
and inverts the result unless it isNotImplemented
. There are no other implied relationships among the comparison operators, for example, the truth of(x<y or x==y)
does not implyx<=y
.
But that does not solve all our problems. Let’s add a subclass:
class SubNumber(Number):
pass
n3 = SubNumber(1)
n1 == n3 # False for classic-style classes -- oops, True for new-style classes
n3 == n1 # True
n1 != n3 # True for classic-style classes -- oops, False for new-style classes
n3 != n1 # False
Note: Python 2 has two kinds of classes:
classic-style (or old-style) classes, that do not inherit from object
and that are declared as class A:
, class A():
or class A(B):
where B
is a classic-style class;
new-style classes, that do inherit from object
and that are declared as class A(object)
or class A(B):
where B
is a new-style class. Python 3 has only new-style classes that are declared as class A:
, class A(object):
or class A(B):
.
For classic-style classes, a comparison operation always calls the method of the first operand, while for new-style classes, it always calls the method of the subclass operand, regardless of the order of the operands.
So here, if Number
is a classic-style class:
n1 == n3
calls n1.__eq__
;n3 == n1
calls n3.__eq__
;n1 != n3
calls n1.__ne__
;n3 != n1
calls n3.__ne__
.And if Number
is a new-style class:
n1 == n3
and n3 == n1
call n3.__eq__
;n1 != n3
and n3 != n1
call n3.__ne__
.To fix the non-commutativity issue of the ==
and !=
operators for Python 2 classic-style classes, the __eq__
and __ne__
methods should return the NotImplemented
value when an operand type is not supported. The documentation defines the NotImplemented
value as:
Numeric methods and rich comparison methods may return this value if they do not implement the operation for the operands provided. (The interpreter will then try the reflected operation, or some other fallback, depending on the operator.) Its truth value is true.
In this case the operator delegates the comparison operation to the reflected method of the other operand. The documentation defines reflected methods as:
There are no swapped-argument versions of these methods (to be used when the left argument does not support the operation but the right argument does); rather,
__lt__()
and__gt__()
are each other’s reflection,__le__()
and__ge__()
are each other’s reflection, and__eq__()
and__ne__()
are their own reflection.
The result looks like this:
def __eq__(self, other):
"""Overrides the default implementation"""
if isinstance(other, Number):
return self.number == other.number
return NotImplemented
def __ne__(self, other):
"""Overrides the default implementation (unnecessary in Python 3)"""
x = self.__eq__(other)
if x is NotImplemented:
return NotImplemented
return not x
Returning the NotImplemented
value instead of False
is the right thing to do even for new-style classes if commutativity of the ==
and !=
operators is desired when the operands are of unrelated types (no inheritance).
Are we there yet? Not quite. How many unique numbers do we have?
len(set([n1, n2, n3])) # 3 -- oops
Sets use the hashes of objects, and by default Python returns the hash of the identifier of the object. Let’s try to override it:
def __hash__(self):
"""Overrides the default implementation"""
return hash(tuple(sorted(self.__dict__.items())))
len(set([n1, n2, n3])) # 1
The end result looks like this (I added some assertions at the end for validation):
class Number:
def __init__(self, number):
self.number = number
def __eq__(self, other):
"""Overrides the default implementation"""
if isinstance(other, Number):
return self.number == other.number
return NotImplemented
def __ne__(self, other):
"""Overrides the default implementation (unnecessary in Python 3)"""
x = self.__eq__(other)
if x is not NotImplemented:
return not x
return NotImplemented
def __hash__(self):
"""Overrides the default implementation"""
return hash(tuple(sorted(self.__dict__.items())))
class SubNumber(Number):
pass
n1 = Number(1)
n2 = Number(1)
n3 = SubNumber(1)
n4 = SubNumber(4)
assert n1 == n2
assert n2 == n1
assert not n1 != n2
assert not n2 != n1
assert n1 == n3
assert n3 == n1
assert not n1 != n3
assert not n3 != n1
assert not n1 == n4
assert not n4 == n1
assert n1 != n4
assert n4 != n1
assert len(set([n1, n2, n3, ])) == 1
assert len(set([n1, n2, n3, n4])) == 2