Flow analysis: implement type promotions for or-patterns.

There are three ways type promotion can occur in an or-pattern:

(1) the scrutinee variable (if any) might be promoted, e.g.:

    f(Object x) {
      if (x case int _ && < 0 || int _ && > 10) {
        // `x` is promoted to `int` because both sides of the `||`
        // promote the scrutinee variable to `int`.
      }
    }

(2) the implicit temporary variable that holds the matched value might
    be promoted, e.g.:

    f(Object Function() g) {
      if (g() case (int _ && < 0 || int _ && > 10) && (var x)) {
        // `x` has type `int` because both sides of the `||` promote
        // the matched value to `int`.
      }
    }

    For this sort of promotion to work, we need to

(3) explicitly matched variables might be promoted at the time of the
    match, e.g.:

    f<T>(T t) {
      if (t is int) {
        if (t case var x && < 0 || var x && > 10) {
          // `x` has type `T` but is promoted to `T&int`, because both
          // declarations of `x` are in a context where the matched
          // value has type `T&int`.
        }
      }
    }

The existing flow analysis logic handles cases (1) and (2) without any
extra work, because those promotions are joined as a natural
consequence of the flow control join at the end of matching the
logical-or pattern.

However, flow analysis has to do some extra work for case (3), because
the two copies of variable `x` are associated with different variable
declarations (and hence have different promotion keys).  To ensure
that the promotions are joined in this case, we need to copy the flow
model for the two copies of `x` into a common promotion key prior to
doing the flow control join.

The bookkeeping necessary to figure out a common promotion key is
similar to the bookkeeping necessary to track the association between
the individual declared variable patterns and the joined pattern
variable (and this is bookkeeping that flow analysis is already
doing).  So as part of this change I went ahead and removed the
`getJoinedVariableComponents` method (which was previously used by
flow analysis to query this association).  This reduces the
constraints on the analyzer and CFE implementations by not requiring
them to do this bookkeeping themselves.

In the process I've made two additional small changes:

- I modified the logic for assigning types and finality to joined
  variables so that if there is a finality conflict but no type
  conflict, the common type is used; conversely, if there is a type
  conflict but no finality conflict, the common finality is used.
  This should help reduce follow-on errors.

- I added logic to ensure that if a variable is only declared on one
  side or the other of a logical-or, flow analysis still considers
  that variable to be definitely assigned.  This should help reduce
  follow-on errors.

Change-Id: I62f17adb6a51a583707c216ed48d941d1c621eea
Bug: https://github.com/dart-lang/sdk/issues/50419
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/279756
Commit-Queue: Paul Berry <paulberry@google.com>
Reviewed-by: Johnni Winther <johnniwinther@google.com>
20 files changed
tree: 73ff5d43b66a95099dc15e05ec5a86c57567981e
  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_args.gni
  35. SECURITY.md
  36. 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.

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Building Dart

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There are more documents on our wiki.

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You can also contribute patches, as described in Contributing.