Begin developing code for "Wolf analysis".

Wolf analysis is an experimental part of the analyzer that I intend to
use as the basis for new, more advanced, lint rules and other
analyses. Its first phase will consist of lowering the abstract syntax
of each function or method to a stream of instructions for a minimal
stack machine.

This code implements the first few instructions for the minimal stack
machine (`function`, `end`, `literal`, and `drop`). These are
sufficient to express a simple function like:

    int f() => 0;

Which maps to the following instruction stream:

    function(int Function(), 0)
    literal(0)
    end

This code includes a validator that verifies that an instruction
stream is well-formed. In follow-up CLs I will add logic to convert an
analyzer AST to an instruction stream.

The internal representation of an instruction stream is code
genreated, because:

- I intend to add additional instructions in follow-up CLs, and I
  don't want to have to remember all the boilerplate for adding an
  instruction each time.

- Once the implementation is far enough along to start consuming large
  amounts of real-world Dart code, I would like to be able to
  investigate the performance effects of changing the internal
  representation. Code generation will make this a lot easier.

Change-Id: I4bc299d31ed108f6eebf9cca913d1484dbc9a3cf
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/334644
Commit-Queue: Paul Berry <paulberry@google.com>
Reviewed-by: Phil Quitslund <pquitslund@google.com>
12 files changed
tree: 5e21347666dc7c06073f621be19c1d5ce0a44060
  1. .dart_tool/
  2. .github/
  3. benchmarks/
  4. build/
  5. docs/
  6. pkg/
  7. runtime/
  8. samples/
  9. sdk/
  10. tests/
  11. third_party/
  12. tools/
  13. utils/
  14. .clang-format
  15. .gitattributes
  16. .gitconfig
  17. .gitignore
  18. .gn
  19. .mailmap
  20. .style.yapf
  21. .vpython
  22. AUTHORS
  23. BUILD.gn
  24. CHANGELOG.md
  25. codereview.settings
  26. CONTRIBUTING.md
  27. DEPS
  28. LICENSE
  29. OWNERS
  30. PATENT_GRANT
  31. PRESUBMIT.py
  32. README.dart-sdk
  33. README.md
  34. sdk.code-workspace
  35. sdk_args.gni
  36. SECURITY.md
  37. WATCHLISTS
README.md

Dart

A client-optimized language for fast apps on any platform

Dart is:

  • Optimized for UI: Develop with a programming language specialized around the needs of user interface creation.

  • Productive: Make changes iteratively: use hot reload to see the result instantly in your running app.

  • Fast on all platforms: Compile to ARM & x64 machine code for mobile, desktop, and backend. Or compile to JavaScript for the web.

Dart's flexible compiler technology lets you run Dart code in different ways, depending on your target platform and goals:

  • Dart Native: For programs targeting devices (mobile, desktop, server, and more), Dart Native includes both a Dart VM with JIT (just-in-time) compilation and an AOT (ahead-of-time) compiler for producing machine code.

  • Dart Web: For programs targeting the web, Dart Web includes both a development time compiler (dartdevc) and a production time compiler (dart2js).

Dart platforms illustration

License & patents

Dart is free and open source.

See LICENSE and PATENT_GRANT.

Using Dart

Visit dart.dev to learn more about the language, tools, and to find codelabs.

Browse pub.dev for more packages and libraries contributed by the community and the Dart team.

Our API reference documentation is published at api.dart.dev, based on the stable release. (We also publish docs from our beta and dev channels, as well as from the primary development branch).

Building Dart

If you want to build Dart yourself, here is a guide to getting the source, preparing your machine to build the SDK, and building.

There are more documents on our wiki.

Contributing to Dart

The easiest way to contribute to Dart is to file issues.

You can also contribute patches, as described in Contributing.