Analyzer: initial infrastructure for logging details of type inference.

This is the first in a planned series of commits that will give the
analyzer and the CFE the ability to instrument their type inference
functionality. The eventual goal is to have an easy way for developers
of the Dart SDK (and perhaps even curious customers) to supply some
code to the analyzer and/or CFE, and see a trace of the relevant type
inference events (e.g. when each statement, expression, pattern, or
collection element was type inferred, the context supplied to type
inference of each expression, the static type of each expression, the
steps involved in inferring generic type parameters, significant flow
analysis events, etc.).

For now, the only functionality that is implemented is to track when
the `ResolverVisitor` enters and exits each expression. This is done
by adding the null-aware calls
`inferenceLogWriter?.enterExpression(...)` and
`inferenceLogWriter?.exitExpression(...)` to each expression `visit`
method in the `ResolverVisitor`.

In normal operation, `inferenceLogWriter` returns `null`, so there is
no effect. But when type inference logging is active, this call
triggers information to be recorded in memory. This information can be
printed to standard output in two scenarios: (1) if the user requests
type inference logging (not yet implemented), or (2) if the type
inference logging mechanism detects that an important invariant has
not been satisfied (e.g. improper nesting of `enterExpression` and
`exitExpression` calls).

This mechanism of using null-aware calls for instrumentation is very
low overhead when inference logging is inactive; I've verified using
Golem that the overhead is well below the noise level of all our
benchmarks (this Golem run was done using a private branch in which
inference logging is more completely fleshed out, to try to provoke
the most overhead possible).  Details can be found here:
https://golem.corp.goog/Comparison?repository=dart#targetA%3Ddart-analysis-server%3BmachineTypeA%3Dlinux-x64%3BrevisionA%3D110445%3BpatchA%3Dpaulberry-inference_log%3BtargetB%3Ddart-analysis-server%3BmachineTypeB%3Dlinux-x64%3BrevisionB%3D110443%3BpatchB%3DNone

Note that the expression visit methods in `ResolverVisitor` are
invoked in two ways depending on the surrounding code: via the
abstract function `ExpressionImpl.resolveExpression` (when supplying a
context) and via the standard visitor mechanism (typically using
`AstNode.visitChildren`). So there is no single unique function
involved in all expression type inference. This means that in order to
fully instrument expression inference, every single expression visit
method in `ResolverVisitor` must call `enterExpression` and
`exitExpression`. It would be very easy to get this wrong, and forget
to instrument an important expression type.

Two mitigation strategies were used to reduce the risk of an
expression type getting forgotten. Firstly, the
`ResolverVisitor.dispatchExpression` method (which is a
frequently-used entry point for type inferring an expression) calls
`inferenceLogWriter?.assertExpressionWasRecorded` after visiting the
expression; this checks that `enterExpression` was properly
called. Secondly, each time `enterExpression` is called, the inference
logging mechanism looks through the ancestors in the AST, and checks
that `enterExpression` was also appropriately called for the innermost
enclosing expression.

To make sure that the analyzer really satisfies the invariants that
these checks are checking, the type inference logging mechanism is
turned on when assertions are enabled (but it is turned on in a way
where it only dumps to standard out if something goes wrong). This
ensures that the checks will be verified when running analyzer unit
tests on the trybots, but doesn't introduce any extra overhead the
production analyzer (beyond the null-aware calls mentioned earlier).

In follow-up commits I intend to add logic to do the following:
- Track the context and static type of each expression.
- Track type inference of statements, patterns, and collection
  elements.
- Track the computations involved in solving for generic type
  parameters.
- Add a command-line mechanism that developers of the Dart SDK can use
  to analyze some code with type inference logging enabled.

Change-Id: I9757bdd2b3cb996fc98b615d87991de16674e53b
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/369788
Reviewed-by: Konstantin Shcheglov <scheglov@google.com>
Commit-Queue: Paul Berry <paulberry@google.com>
Reviewed-by: Chloe Stefantsova <cstefantsova@google.com>
Reviewed-by: Brian Wilkerson <brianwilkerson@google.com>
6 files changed
tree: bbde2fca8d12b36820a95a1763a1838b488dd0e7
  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. AUTHORS
  22. BUILD.gn
  23. CHANGELOG.md
  24. codereview.settings
  25. CONTRIBUTING.md
  26. DEPS
  27. LICENSE
  28. OWNERS
  29. PATENT_GRANT
  30. PRESUBMIT.py
  31. README.dart-sdk
  32. README.md
  33. sdk.code-workspace
  34. sdk_args.gni
  35. sdk_packages.yaml
  36. SECURITY.md
  37. WATCHLISTS
README.md

Dart

An approachable, portable, and productive language for high-quality apps on any platform

Dart is:

  • Approachable: Develop with a strongly typed programming language that is consistent, concise, and offers modern language features like null safety and patterns.

  • Portable: Compile to ARM, x64, or RISC-V machine code for mobile, desktop, and backend. Compile to JavaScript or WebAssembly for the web.

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

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 in our repo at docs.

Contributing to Dart

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

You can also contribute patches, as described in Contributing.

Roadmap

Future plans for Dart are included in the combined Dart and Flutter roadmap on the Flutter wiki.