Johnni Winther
e30cd0322c
This separates VariableDeclaration from Statement. VariableDeclaration no longer implements Statement and variable declared in a block or in a for-statement are now wrapped by a VariableStatement. Currently there are two VariableStatement implementations; LegacyVariableStatement for variables in the current model, called LegacyVariable, and VariableInitialization for variables used in the new, still experimental, encoding that supports scope computation. This CL is a step towards realigning the AST nodes to the new model in which each kind of variable has its own distinct subclass. (LocalVariable, PositionalParameter, NamedParameter, SyntheticVariable, etc.) Note that it is not the intent to use VariableStatement in ForStatement going forward but that will be handled in a follow-up. TEST=existing. Change-Id: I5b309cd62c9b138f95b74fb054686edffa49a393 Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/502681 Reviewed-by: Chloe Stefantsova <cstefantsova@google.com> Reviewed-by: Nicholas Shahan <nshahan@google.com> Reviewed-by: Alexander Markov <alexmarkov@google.com> Reviewed-by: Martin Kustermann <kustermann@google.com> Commit-Queue: Johnni Winther <johnniwinther@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.