Chloe Stefantsova
aa043e90a4
This reverts commit a8cf0a0825.
Reason for revert: The CL broke a few places in google3.
Original change's description:
> [analyzer][cfe] Expand TypeAnalyzerOperations. Part 1
>
> This CL adds more of the type operations required in the subtype
> constraint gathering algorithm into the shared type operation
> class. The added operations are used in the constraint gathering
> algorithms in the Analyzer and the CFE.
>
> Part of https://github.com/dart-lang/sdk/issues/54902
>
> Change-Id: Ia895fc84bd7ab666330a4ab32b6e759f0977e750
> Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/346840
> Reviewed-by: Johnni Winther <johnniwinther@google.com>
> Reviewed-by: Paul Berry <paulberry@google.com>
> Commit-Queue: Chloe Stefantsova <cstefantsova@google.com>
Change-Id: Ibf75bb6dda4a4f5f36a2265036703977b28a4333
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/353160
Auto-Submit: Chloe Stefantsova <cstefantsova@google.com>
Reviewed-by: Slava Egorov <vegorov@google.com>
Bot-Commit: Rubber Stamper <rubber-stamper@appspot.gserviceaccount.com>
Reviewed-by: Johnni Winther <johnniwinther@google.com>
Commit-Queue: Slava Egorov <vegorov@google.com>
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.