Skip to content

Normalization by Evaluation for Martin-Löf Type Theory

Notifications You must be signed in to change notification settings

jozefg/nbe-for-mltt

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

55 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

nbe-for-mltt

An implementation of Normalization by Evaluation for Martin-Löf Type Theory with dependent products (pi), dependent sums (sigma), natural numbers, and a cumulative hierarchy. This implementation correctly handles eta for both pi and sigma.

This implementation has also been extended to include a type checker based on Coquand's semantic type checker. In order to interact with the normalizer, therefore, one can write a file containing a list of definitions and commands to normalize various terms.

For example:

let plus : Nat -> Nat -> Nat =
  fun m ->
  fun n ->
  rec n at x -> Nat with
  | zero -> m
  | suc _, p -> suc p

let fib : Nat -> Nat =
  fun n ->
  let worker : Nat * Nat =
    rec n at _ -> Nat * Nat with
    | zero -> <1, 0>
    | suc _, p -> <plus (fst p) (snd p), fst p> in
  snd worker

normalize fib 25 at Nat

A list of other examples may be found in test/.

The algorithm for normalization is heavily based on the description provided in "Normalization by Evaluation Dependent Types and Impredicativity" by Andreas Abel. The type checker is loosely based on "A simple type-theoretic language: Mini-TT" by Thierry Coquand, Yoshiki Kinoshita, Bengt Nordström, and Makoto Takeyama.

An explanation of the algorithm may be found in nbe-explanation.md. An explanation of the type checker may be found (eventually) in check-explanation.md.

Compiling the code

In order to compile the code, it is necessary to install the dependent libraries:

opam install --deps-only .

Afterwards run make all or dune build @install to build the code. Specific files can be executed with dune exec -- mltt test/somefile.tt.

About

Normalization by Evaluation for Martin-Löf Type Theory

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •