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A minimalist implementation of type theory in Ocaml. This is based on Andrej Bauer's version from the 3rd part of his blog posts, see How to implement dependent type theory III.

Build Status

Build Status

What's new

  • Inductive types with eliminators.
  • It is less minimal (aka has uglier code) than the one presented in the blog post.

The type theory

The dependent type theory tt has the following ingridients:

  • The universes are Type 0, Type 1, Type 2, ...
  • A dependent product is written as forall x : T1, T2
  • A function is written as fun x : T => e
  • Application is written as e1 e2

The hierarchy of universes is not commulative, i.e., even though Type k has type Type (k+1), Type k is not a subuniverse of Type (k+1).

Compilation

You need ocamlbuild, which is part of OCaml, the menhir parser generator, and make. You can type

  • make to make the tt.native executable.
  • make byte to make the bytecode tt.byte executable.
  • make clean to clean up.
  • make doc to generate HTML documentation (see the generated tt.docdir/index.html).

Usage

Type Help. in the interactive shell to see what the type system can do. Here is a sample session:

tt blog-part-I
[Type Ctrl-D to exit or "Help." for help.]
# Parameter N : Type 0.
N is assumed
# Parameter z : N. Parameter s : N -> N.
z is assumed
s is assumed
# Definition three := fun f : N -> N => fun x : N => f (f (f x)).
three is defined
# Context.
three = fun f : N -> N => fun x : N => f (f (f x))
    : (N -> N) -> N -> N
s : N -> N
z : N
N : Type 0
# Check (three (three s)).
three (three s)
    : N -> N
# Eval (three (three s)) z.
    = s (s (s (s (s (s (s (s (s z))))))))
    : N

Source code

The purpose of the implementation is to keep the source uncomplicated and short. The essential bits of source code can be found in the following files. It should be possible for you to just read the entire source code. You should start with the core

  • syntax.ml -- abstract syntax
  • context.ml -- contexts
  • norm.ml -- normalization
  • typing.ml -- type inference and normalization

and continue with the infrastructure

  • tt.ml -- interactive top level
  • error.ml -- error reporting
  • desugar.ml -- convert names to de Bruijn indices
  • lexer.mll and parser.mly -- concrete sytnax
  • beautify.ml and print.ml -- pretty printing

Inefficiency

The code is meant to be short and sweet, and close to how type theory is presented on paper. Therefore, it is not suitable for a real implementation, as it will get horribly inefficient as soon as you try anything complicated. But it should be useful for experimentation.

What experiments should I perform to learn more?

There are many things you can try, for example:

  • basic types unit, bool and nat
  • the eta rule for functions
  • dependent sums
  • cummulative universes, so that [A : Type k] implies [A : Type (k+1)]
  • better type inference so that variables need not be explicitly typed
  • prefix and infix operators

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