Python operators work for built-in classes. But same operator behaves differently with different types. For example, the
So what happens when we use them with objects of a user-defined class? Let us consider the following class, which tries to simulate a point in 2-D coordinate system.
Using special functions, we can make our class compatible with built-in functions.
Ok, now back to operator overloading.
+
operator will, perform arithmetic addition on two numbers, merge two
lists and concatenate two strings. This feature in Python, that allows
same operator to have different meaning according to the context is
called operator overloading.
So what happens when we use them with objects of a user-defined class? Let us consider the following class, which tries to simulate a point in 2-D coordinate system.
class Point:
def __init__(self,x = 0,y = 0):
self.x = x
self.y = y
Now when we try to add two points that we create as follows.
>>> p1 = Point(2,3)
>>> p2 = Point(-1,2)
>>> p1 + p2
Traceback (most recent call last):
...
TypeError: unsupported operand type(s) for +: 'Point' and 'Point'
Whoa! That's a lot of complains. TypeError
was raised since Python didn't know how to add two Point
objects together. However, the good news is that we can teach this to
Python through operator overloading. But first, let's get a notion about
special functions.
Special Functions in Python
Class functions that begins with double underscore (__) are called special functions in Python. This is because, well, they are not ordinary. The__init__()
function we defined above, is one of them. It gets called every time we create a new object of that class. There are a ton of special functions in Python.
Using special functions, we can make our class compatible with built-in functions.
>>> p1 = Point(2,3)
>>> print(p1)
<__main__.Point object at 0x00000000031F8CC0>
That did not print well. But if we define __str__()
method in our class, we can control how it gets printed. So, let's add this to our class.
class Point:
# previous definitions...
def __str__(self):
return "({0},{1})".format(self.x,self.y)
Now let's try the print()
function again.
>>> print(p1)
(2,3)
That's better. Turns out, that this same method is invoked when we use the built-in function str()
or format()
.
>>> str(p1)
'(2,3)'
>>> format(p1)
'(2,3)'
So, when you do str(p1)
or format(p1)
, Python is internally doing p1.__str__()
. Hence the name, special functions.
Ok, now back to operator overloading.
Overloading the + Operator
To overload the+
sign, we will need to implement __add__()
function in the class. With great power comes great responsibility. We
can do whatever we like, inside this function. But it is sensible to
return a Point
object of the coordinate sum.
class Point:
# previous definitions...
def __add__(self,other):
x = self.x + other.x
y = self.y + other.y
return Point(x,y)
Now let's try that addition again.
>>> p1 = Point(2,3)
>>> p2 = Point(-1,2)
>>> print(p1 + p2)
(1,5)
What actually happens is that, when you do p1 + p2
, Python will call p1.__add__(p2)
which in turn is Point.__add__(p1,p2)
. Similarly, we can overload other operators as well. The special function that we need to implement is tabulated below.
Operator | Expression | Internally |
---|---|---|
Addition | p1 + p2 | p1.__add__(p2) |
Subtraction | p1 - p2 | p1.__sub__(p2) |
Multiplication | p1 * p2 | p1.__mul__(p2) |
Power | p1 ** p2 | p1.__pow__(p2) |
Division | p1 / p2 | p1.__truediv__(p2) |
Floor Division | p1 // p2 | p1.__floordiv__(p2) |
Remainder (modulo) | p1 % p2 | p1.__mod__(p2) |
Bitwise Left Shift | p1 << p2 | p1.__lshift__(p2) |
Bitwise Right Shift | p1 >> p2 | p1.__rshift__(p2) |
Bitwise AND | p1 & p2 | p1.__and__(p2) |
Bitwise OR | p1 | p2 | p1.__or__(p2) |
Bitwise XOR | p1 ^ p2 | p1.__xor__(p2) |
Bitwise NOT | ~p1 | p1.__invert__() |
Overloading Comparison Operators in Python
Python does not limit operator overloading to arithmetic operators only. We can overload comparison operators as well. Suppose, we wanted to implement the less than symbol<
symbol in our Point
class. Let us compare the magnitude of these points from the origin and
return the result for this purpose. It can be implemented as follows.
class Point:
# previous definitions...
def __lt__(self,other):
self_mag = (self.x ** 2) + (self.y ** 2)
other_mag = (other.x ** 2) + (other.y ** 2)
return self_mag < other_mag
Some sample runs.
>>> Point(1,1) < Point(-2,-3)
True
>>> Point(1,1) < Point(0.5,-0.2)
False
>>> Point(1,1) < Point(1,1)
False
Similarly, the special functions that we need to implement, to overload other comparison operators are tabulated below.
Operator | Expression | Internally |
---|---|---|
Less than | p1 < p2 | p1.__lt__(p2) |
Less than or equal to | p1 <= p2 | p1.__le__(p2) |
Equal to | p1 == p2 | p1.__eq__(p2) |
Not equal to | p1 != p2 | p1.__ne__(p2) |
Greater than | p1 > p2 | p1.__gt__(p2) |
Greater than or equal to | p1 >= p2 | p1.__ge__(p2) |
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