inductive is a Python library that defines inductive data structures such as Peano numbers and linked lists.
Caution
It is still in early development.
Despite being very useful, Python does not have a built-in unsigned integer data type. Futhermore, it does not provide the ability to refine the existing int type by disallowing negative numbers - at least, not in a way that static type checkers like mypy or pyright can pick up.
And yet, natural numbers come up on many occasions, such as counting or ordering, or in mundane programming tasks.
Tip
If you have ever created your own sequence type, and defined __len__, you are probably aware that you get a runtime error if it returns an integer below 0.
Fortunately for us, over the years, the language's type system has become powerful enough to be able to encode inductive types.
The idea goes as following: you start from something, like a pink ball - in our case, the number 0 - to which you add a box where you can put the ball, or another box of the same kind - for natural numbers, this is the successor function. Then, you put the ball in a box, which itself is inside another box, and so on: you now have a number. What is its value? Simply count how many boxes you need to open to get to the ball.
Temporary mouse-drawn thingy until I find a better analogy 😆
Another way to think of it (and maybe even a better one!) is through recursive functions, except that instead of returning values, it creates inhabitants of the type in a way that can understood statically.
This way, we are able to represent natural numbers in a type-safe way! If a value is of type Nat, you know it cannot be negative, which is sometimes a nice guarantee to have as aforementioned. Also, this is very similar to the Peano axioms, which gives us very nice mathematical properties.
However, this does not come without sacrificing some practicality: there is, as of writing this, no way to make the numeric literals have the type Nat instead of the built-in int. We still enjoy operators such as + or * thanks to their corresponding magic methods, but we will have to use functions to convert literals to our natural number type.
...We don't!
With the type statement added in Python 3.12 and structural pattern matching with match/case in 3.10, the language unlocked a lot of power at the type level. The latter, especially, is the best friend of inductive types ; and Nat is not the only one that is very useful!
Important
For now, only Nat is implemented, but it's just a matter of time before the others get added too 😄
inductive also provides a submodule builtins which goal is to override existing built-ins to use better suited types: for example, len is replaced by length, which returns a Nat, more appropriated since len can never return a negative number.
More specifically, this library is heavily inspired by the proof assistant Rocq (previously known as Coq) and its programming language Gallina, which are based on a type theory called calculus of constructions, and more recently on its variant called PCUIC (predicative calculus of cumulative inductive constructions).