Make flow analysis handle for-each loops more consistently with their desugaring.

Previously the flow analysis equations for a for-each loop `N` of the
form `for (var V in E) S` were approximately as follows:

- Let `before(E) = before(N)`
- Let `before(S) = conservativeJoin(after(E), assignedIn(N), capturedIn(N))`
- Let `after(N) = join(after(E), break(S))`

This CL changes the behavior to:

- Let `before(E) = before(N)`
- Let `before(S) = conservativeJoin(after(E), assignedIn(N), capturedIn(N))`
- Let `after(N) = join(before(S), break(S))`

(In other words, the result of the conservative join is carried
through to the state after the loop).  This isn't strictly necessary
for soundness, but it makes the behavior of a for-each loop more
consistent with its desugared equivalent.  In particular, it means
that if a variable is potentially assigned to or captured in the body
of the loop, then the effect of that potential assignment or capture
will be felt in the code that follows the loop, even if the potential
assignment or capture is not connected to the flow control path.

Change-Id: I7a70a8ae9f87bd40b6592992d8ee985a9aa87e80
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/162480
Reviewed-by: Konstantin Shcheglov <scheglov@google.com>
Commit-Queue: Paul Berry <paulberry@google.com>
3 files changed
tree: ce27e4582fbb9ef01b6fb14b60edcb71fe04bd2f
  1. .dart_tool/
  2. .github/
  3. benchmarks/
  4. build/
  5. client/
  6. docs/
  7. pkg/
  8. runtime/
  9. samples/
  10. samples-dev/
  11. sdk/
  12. tests/
  13. third_party/
  14. tools/
  15. utils/
  16. .clang-format
  17. .gitattributes
  18. .gitconfig
  19. .gitignore
  20. .gn
  21. .mailmap
  22. .packages
  23. .style.yapf
  24. .vpython
  25. AUTHORS
  26. BUILD.gn
  27. CHANGELOG.md
  28. codereview.settings
  29. CONTRIBUTING.md
  30. DEPS
  31. LICENSE
  32. PATENT_GRANT
  33. PRESUBMIT.py
  34. README.dart-sdk
  35. README.md
  36. sdk_args.gni
  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.

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Dart platforms illustration

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See LICENSE and PATENT_GRANT.

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