cb69b50912
This CL changes the leak finding from using heap dumps to using the undocumented (/ private?) method '_getInstancesAsArray' to get all instances of specific clases (i.e. the one(s) we're finding leaks for). This - I'm hoping - is more stable than the heap dump version (which, though, seems to have become more stable over the last weeks). It is also potentially faster: The speed depends on how many different classes we want to look at to find leaks. In the flutter compilation leak tests we only look for one and it finishes in ~78% of the time it did before. That's (rounding at bit) going from ~6 hours to ~4.5 hours. In vm_service_for_leak_detection.dart - that looks at four different classes - it's something like 26% slower though. Change-Id: Ic8abb1b293137b166ab0935eae423b60e2d4562b Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/202762 Commit-Queue: Jens Johansen <jensj@google.com> Reviewed-by: Johnni Winther <johnniwinther@google.com> |
||
|---|---|---|
| .. | ||
| bin | ||
| doc | ||
| lib | ||
| test | ||
| tool | ||
| .gitignore | ||
| analysis_options.yaml | ||
| AUTHORS | ||
| binary.md | ||
| codereview.settings | ||
| LICENSE | ||
| PRESUBMIT.py | ||
| problems.md | ||
| pubspec.yaml | ||
| README.md | ||
Dart Kernel
Dart Kernel is a small high-level language derived from Dart. It is designed for use as an intermediate format for whole-program analysis and transformations, and to be consumed by codegen and execution backends.
The kernel language has an in-memory representation in Dart and can be serialized as binary or text.
Both the kernel language and its implementations are unstable and are under development.
This package contains the Dart part of the implementation and contains:
- A transformable IR for the kernel language
- Serialization of kernel code
Note: The APIs in this package are in an early state; developers should be careful about depending on this package. In particular, there is no semver contract for release versions of this package. Please depend directly on individual versions.
See ast.dart for the in-memory IR, or binary.md for a description of the binary format. For now, the textual format is very ad-hoc and cannot be parsed back in.