Skip to content
This repository has been archived by the owner on Oct 5, 2023. It is now read-only.

Latest commit

 

History

History
114 lines (82 loc) · 4.26 KB

README.md

File metadata and controls

114 lines (82 loc) · 4.26 KB

Pirouette is no longer developed nor maintained.

Pirouette

Pirouette is a research prototype under active development

Pirouette is a framework for constructing different static analysis tools for System F-based languages. It has a number of transformations (monomorphization, defunctionalization, prenex, etc...) implemented, which can be composed in different ways to cater for different goals.

Bounded Symbolic Evaluation

There is one analysis currently built into pirouette, which symbolically evaluates terms while looking for counterexamples based on a mixture of incorrectness and Hoare triples. Say we have a function t :: Ins -> Outs, we can check that for all i :: Ints up to a certain size, P (t i) i implies Q (t i) i, where P and Q are the user-defined predicates we interested in enforcing. We invite the interested reader to our blog-post for more details on these reasoning techniques. The design of Pirouette is discussed in more details in DESIGN.md.

Use Cases

Example Language

The Language.Pirouette.Example defines the Ex language: pirouette's example language. We refer the interested reader to this module for guidelines on using pirouette over your own language.

Now, say we have the simple program:

addone :: Integer -> Integer
addone x = x + 1

And we wish to check the incorrectness triple [x > 0] addone x [result > 0], that is: if addone x > 0, then x > 0. We obviously expect a counterexample with x = 0. Because pirouette conveniently uses the -XQuasiQuotes extension, we can quickly use it to find that assignment:

params :: IncorrectnessParams Ex
params = IncorrectnessParams
          [term| \x:Integer . x + 1 |] -- A function term to symbolically evaluate, this is our t above
          [ty| Integer |] -- type of the result of the function term above
          -- Conditions to check, they take the result and the inputs of the function term,
          -- these are our P and Q above
          ([term| \(res:Integer) (x:Integer) . 0 < res |]
            :==>: [term| \(res:Integer) (x:Integer) . 0 < x |])

Now we can run replIncorrectnessLogicSingl 10 params in a repl and we should see:

💸 COUNTEREXAMPLE FOUND
{ __result ↦ 1
  x ↦ 0 }

Plutus Smart Contracts

Plutus is a subset of Haskell used to write smart contracts for Cardano blockchain. Pirouette has a prototype interface to interacting with plutus through Language.Pirouette.PlutusIR, but further work is necessary to seamlessly interact with validator scripts.

To run Pirouette on Plutus Intermediate Representation scripts, one has to use the pirouette-plutusir library.

Limitations

In its current form, pirouette itself is still a research prototype, hence, it has plenty of limitations. The overall approach of pirouette's symbolic engine is an intersection of bounded model checking and symbolic execution, hence, it also carries the limitations of a model checker: exploration of the state space can be slow and it is not a substitute for a formal proof of correctness.

Building, Installing and Hacking

The recommended way of building pirouette is through Nix. Enter the Nix shell with nix develop then run cabal update and cabal build at the root of the repository.

Pre-commit Hooks and CI

In order to help avoid CI failures due to formatting problems, we recommend that you install a pre-commit hook for running Ormolu. The Nix shell already enables such a pre-commit hook transparently.

Contributing

Did you find a bug while using pirouette? Please report it. Would you like to help fix a bug or add a feature? We welcome pull requests! Check the issue page for inspiration.

License

See LICENSE.

Copyright © 2021–present Tweag I/O