Hands-On Design Patterns and Best Practices with Julia

Detecting ambiguities

It is often difficult to find ambiguous methods until you happen to hit a specific use case at runtime. That's not good. I don't know about you, but software engineers like me don't like surprises in production!

Fortunately, Julia provides a function in the Test package for detecting ambiguities. We can try this out using a similar test. Consider the following code:

We have created a small module in the REPL that defines three foo methods. It's a classic example of ambiguous methods—if we pass two integer arguments, then it is unclear whether the second or the third foo method should be executed. Now, let's use the