Last Updated: January 3, 2026
Understanding Method Resolution Order (MRO) is key to mastering Python's inheritance system, especially when we start dealing with multiple inheritance. If you've ever found yourself confused about which method gets called when a class inherits from more than one parent, you're not alone.
MRO clarifies this process, ensuring that Python methods are resolved in a predictable and logical manner.
In Python, Method Resolution Order (MRO) determines the order in which base classes are searched when executing a method. This is particularly important in multiple inheritance scenarios, where a class can inherit from multiple parent classes.
MRO ensures a consistent and predictable method lookup, so when you call a method on an instance of a class, Python knows exactly where to look for it. Understanding this order is crucial for avoiding unexpected behavior in your programs.
The MRO follows certain rules, and Python uses an algorithm called C3 linearization to calculate this order. This algorithm is designed to maintain the order of inheritance and respect the hierarchy as defined in the classes.
To get a clearer picture of how MRO works, let’s take a look at the C3 linearization algorithm. This algorithm combines the parent classes in a way that respects their order while ensuring that no class is repeated in the final list.
Consider the following diagram:
In this graph, A is the parent of both B and C, while B and C both inherit from D. If we create a class E that inherits from B and C, the MRO for class E would follow these steps:
E.E: B and C.B can be added to the MRO list without violating the order of C and D.Let’s illustrate this with some code:
Here, calling E.mro() gives us the order in which Python would search for methods. This is particularly useful when debugging or designing complex class hierarchies.
Let’s dive deeper into a practical example. We’ll create a more complex scenario that demonstrates how MRO resolves method calls in a real-world application.
In this example, we have a hierarchy of animals. When we create an instance of Pet and call sound(), the output is "Woof", coming from GoldenRetriever. The MRO is crucial here; it ensures that GoldenRetriever is checked before Dog and HouseCat, maintaining the order specified in the class declaration.
While MRO is designed to be intuitive, there are some common pitfalls that can lead to confusion. Here are a few to watch out for:
Here, D inherits from both B and C, which both inherit from A. The MRO ensures that B’s method is called first.
__mro__ attribute on a class, but this is generally discouraged as it can lead to unpredictable behavior. Always rely on Python's built-in MRO unless you have a compelling reason.When working with MRO, it’s beneficial to have some tools at your disposal. Python provides a built-in function, mro(), which you can use to see the method resolution order of any class.
Additionally, you can use the inspect module to get more insights into functions and methods in your classes.
These tools help you debug your class hierarchies and understand how Python resolves method calls in complex scenarios.
Understanding Method Resolution Order is essential for mastering Python's inheritance model. MRO determines the order in which methods are resolved, particularly in multiple inheritance situations, and is governed by the C3 linearization algorithm. By grasping MRO, you can avoid common pitfalls, debug effectively, and design your classes with confidence.
Now that you understand Method Resolution Order, you are ready to explore the super() function, which plays a crucial role in calling methods from parent classes, especially in the context of MRO.
In the next chapter, we will look at how super() can streamline method calls and improve code clarity in your classes.