__rmod__() method implements the reverse modulo operation with reflected, swapped operands. So, when you call
x % y, Python attempts to call
x.__mod__(y). If the method is not implemented, Python attempts to call
__rmod__ on the right operand and if this isn’t implemented either, it raises a
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.
In Python like in many other programming languages, the modulo operator is represented by the percent
% symbol. It returns the remainder of dividing the left by the right operand.
For example, the modulo operation
7 % 2 returns 1 because seven divided by two is three with remainder 1.
>>> 7 % 2 1
To understand this operation in detail, feel free to read over our tutorial or watch the following video:
What’s the Difference Between __mod__() and __rmod__()?
Say, you want to use the percentage operator on two objects
print(x % y)
Python first tries to call the left object’s
x.__mod__(y). But this may fail for two reasons:
- The method
x.__mod__()is not implemented in the first place, or
- The method
x.__mod__()is implemented but returns a
NotImplementedvalue indicating that the data types are incompatible.
If this fails, Python tries to fix it by calling the
y.__rmod__() for reverse modulo on the right operator
If this method is implemented, Python knows that it doesn’t run into a potential problem of a non-commutative operation. If it would just execute
y.__mod__(x) instead of
x.__mod__(y), it could cause an error if the operation is non-commutative. That’s why
y.__rmod__(x) is needed.
The difference between
x.__rmod__(y) is that the former calculates
x % y whereas the latter calculates
y % x — both calling the respective true division method defined on object
You can see this in effect here where we attempt to call the operation on the left operand
x—but as it’s not implemented, Python simply calls the reverse operation on the right operand
class Data_1: pass class Data_2: def __rmod__(self, other): return 'called reverse % operator' x = Data_1() y = Data_2() print(x % y) # called reverse % operator
Where to Go From Here?
Enough theory. Let’s get some practice!
Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.
To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?
You build high-value coding skills by working on practical coding projects!
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🚀 If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.
If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.