dart-sdk/pkg/kernel
Johnni Winther 911b376f7e [cfe] Handle inline class representation field in object pattern
Closes #52667

Change-Id: I9c6d51597ff27ae3a7cdeed29d75755c18a2d530
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/311742
Commit-Queue: Johnni Winther <johnniwinther@google.com>
Reviewed-by: Chloe Stefantsova <cstefantsova@google.com>
2023-07-10 11:02:50 +00:00
..
bin [kernel] Shift up specialized kernel tags 2023-02-21 15:21:38 +00:00
doc [cfe] Remove kernel-semantics.tex 2021-09-02 13:54:15 +00:00
lib [cfe] Handle inline class representation field in object pattern 2023-07-10 11:02:50 +00:00
test [kernel] Fix record type equivalence 2023-07-06 16:37:49 +00:00
tool Change : to = for default values in pkg. 2022-08-24 15:57:16 +00:00
.gitignore
analysis_options.yaml Replace deprecated lint rules in front-end packages 2023-05-23 14:01:49 +00:00
AUTHORS
binary.md [cfe] Add FileUriConstantExpression 2023-06-28 07:52:09 +00:00
codereview.settings
LICENSE
OWNERS [infra] Add OWNERS to the Dart SDK 2022-02-14 14:06:34 +00:00
PRESUBMIT.py [python3] Migrate PRESUBMIT.py files 2021-08-16 08:29:54 +00:00
problems.md Fix typos 2022-10-12 14:12:42 +00:00
pubspec.yaml [kernel] Merge front_end and kernel verifiers 2023-04-26 14:14:36 +00:00
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.