110b0f0eba
This allows us to better track all kinds of accesses to record implementation classes in dart2wasm, which generates separate record implementation class per record shape. This change also allows us to remove mutable dispatch targets which were used to implement dynamic accesses to record fields, and make tracking of record field types more accurate (record fields are now versioned per shape). This is also a step towards inferring actual record types. TEST=pkg/vm/testcases/transformations/type_flow/transformer/records.dart TEST=pkg/vm/testcases/transformations/type_flow/transformer/records_dart2wasm.dart TEST=language/records/simple/dynamic_field_access_test Issue https://github.com/dart-lang/sdk/issues/49719 Fixes https://github.com/dart-lang/sdk/issues/51363 Cq-Include-Trybots: luci.dart.try:vm-kernel-precomp-nnbd-linux-release-x64-try Change-Id: Icba62a7ca8cfd8ddbc7f2b7c38aeabbef5caec4b Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/286950 Reviewed-by: Slava Egorov <vegorov@google.com> Reviewed-by: Ömer Ağacan <omersa@google.com> Commit-Queue: Alexander Markov <alexmarkov@google.com> |
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| AUTHORS | ||
| binary.md | ||
| codereview.settings | ||
| LICENSE | ||
| OWNERS | ||
| 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.