Project of "Programmation Fonctionelle Avancé"

This file is divided in two parts. The first part describes the project that you have to realise to get a partial note for the module "Programmation Fonctionelle Avancé".

PART I: Scientific content the project

To realise this project you will implement a type inference algorithm that works over terms of a programming language for functional programming.

Terms = Expressions = Programs

• Term This module contains the syntax of the minimal programming language to we use in this project. Terms (i.e. programs) are values of type Term.t. This language is "applicative", i.e. fit for functional programming, thanks to the constructors for application (App) and for function definition (Fun).

Aim of the project

The [third lecture] (https://gaufre.informatique.univ-paris-diderot.fr/Bernardi/pfa-2324/tree/master/week03) describes two algorithms: the first one transforms any given program into a system of equations, and the second one is a unification algorithm that solves such systems.

To realise this project you will have to implement the following modules:

1. typeSubstitution You must implement at least:

   • type t, i.e. how to represent syntactic substitutions in memory,
   • val apply, which applies a syntactic substitution to a type
   • val compose, which computes the substitution obtained composing two given substitutions.

2. unifcation You must implement at least:

   • val unify which given two type t1 and t2, must compute the substitution s such that if unify t1 t2 = Some s then apply s t1 = apply s t2.

   You can of course use the Herbrand / Robinson algorithm to start designing your implementation.

3. inference You must implement at least:

   • val typeof, which given a term t must compute either None, if there is no type for t, or Some ty, if ty is the type of term t.

You may add more definitions to each of these modules, and extend their signatures accordingly. You may also create new compilation units (i.e. new .ml files).

1. You may, and should, extend the testing module with additional tests, or replace it with a testing framework of your choice (using e.g. QCheck).

PART II: Logistics of the project

Fork

To realise your project and have it evaluated, you have to

1. fork the git repository that contains this file, and
2. add G. BERNARDI and G. GEOFFROY with the role Maintainer to your fork.

Do it asap.

Deadline

The final implementation must be in your fork by the

__ 30th of April 2024, 23h59 __

Any code pushed to your fork after that time will be ignored.

Requirements

1. Install OPAM

OPAM is the package manager for OCaml. It is the recommended way to install the OCaml compiler and OCaml packages.

The following should work for macOS and Linux:

bash -c "sh <(curl -fsSL https://raw.githubusercontent.com/ocaml/opam/master/shell/install.sh)"

Recommended: editor integration

Emacs: Tuareg & Merlin

Tuareg is an OCaml major mode for Emacs while Merlin is an editor service that provides modern IDE features for OCaml.

To install, run:

opam install tuareg merlin user-setup

VSCode: Ocaml LSP

Install the extension called OCaml Platform available in the Visual Studio Marketplace

This extension requires OCaml-LSP, an Language Server Protocol(LSP) implementation for OCaml

To install, run:

opam install ocaml-lsp-server

Development environment setup

If the required opam packages conflict with your default switch, you may setup a local Opam switch using the following commands:

$ opam switch create . --deps-only --with-doc --with-test
$ eval $(opam env)

Build

To build the project, type:

$ dune build

For continuous build, use

$ dune build --watch

instead.

Running your main file

To run your code you will have to implement let () = ... in the file main.ml, and then run it via

$ dune exec 

Testing your code

To test the project, type:

$ dune runtest

This can be combined with continuous build & test, using

$ dune runtest --watch