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Implementations of various systems as described in Types and Programming Languages book, in Python 3.10

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PyTAPL

(WIP) Python implementations of various type checkers and interpreters as described in Types and Programming Languages by Benjamin Pierce.

Components

Each subdirectory is a self-contained program, with run.py being the main entrypoint.

  1. arith: A simple interpreter with basic numeric expressions to start things off.
  2. untyped: Implementation of the untyped lambda calculus, as covered in chapters 5-7.
  3. simplebool: Simply-typed calculus supporting Bool and Arrow (function) types and if-then-else statements, from chapters 9-10.
  4. rcdsub: Calculus involving Record types and sub-typing relation between types. Supports both Top and Bot types. Covers chapters 15-17.
  5. recon: Implementation of Hindley-Milner type inference algorithm on the simply-typed calculus by equality constraint generation, as described in chapter 22.
  6. system_f: Includes the typechecker for lambda calculus with parametric polymorphism (SystemF). Supports both universal, and existential types.
  7. ... TODO :)

Notes

  • Mostly stays close to the original implementation in OCaml
  • Makes heavy use of Python 3.10's new match statements for pattern matching
  • Parsing is done using Lark. Not focusing on efficiency of the parser

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Implementations of various systems as described in Types and Programming Languages book, in Python 3.10

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