5b5956bd4e
This is a first pass at running inlined tests (seemingly called doctests in for instance python) on internal CFE code. This is not useful for testing the entire compiler for instance, but could be useful for utility methods that take simple inputs and provide simple outputs. I've added tests to a few tings to try it out. The syntax for it here is probably overly verbose but we could iterate on that if need be. The way it's done is that the test-code is extracted from the comments and (virtually) "injected" in a weirdly named top level method of the same file, which is then called from a "fake" main; the whole thing is compiled to dill and run in an isolate. (This is an application where making advanced invalidation support adding top level methods would be great). Change-Id: I7927822bca0ba68780458c40fe585882330e3b60 Reviewed-on: https://dart-review.googlesource.com/c/sdk/+/203242 Commit-Queue: Jens Johansen <jensj@google.com> Reviewed-by: Dmitry Stefantsov <dmitryas@google.com> Reviewed-by: Johnni Winther <johnniwinther@google.com> |
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| 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.