Refactoring: Types report what class of labels they contain.

Currently label-type attributes are detected in many places across the
codebase by simply reference-comparing against each of the label types.
This CL aims to generalize most of these cases, moving the encoding of
this logic into a single place (Type/BuildType itself). Not all of these
cases can be made general without further refactoring, and some perhaps
shouldn't be - serialization and Skylark rule context, for example, need
to do exotic things based on the type. But most sites can avoid having to
enumerate all the types they work with explicitly.

This causes LABEL_DICT_UNARY to start being treated like the other label
types, which means that CcToolchainSuiteRule and JavaRuntimeSuiteRule
need to include a set of allowed file types (none, in their case).
Skylark will continue treating it as a dictionary from String to Label
in its rule context, however, to avoid visible behavior changes.

--
PiperOrigin-RevId: 147471542
MOS_MIGRATED_REVID=147471542
13 files changed
tree: b78c4a4d1f359391f5c17092dcd64ed4d9efb016
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. combine_distfiles.sh
  13. compile.sh
  14. CONTRIBUTING.md
  15. CONTRIBUTORS
  16. ISSUE_TEMPLATE.md
  17. LICENSE.txt
  18. README.md
  19. WORKSPACE
README.md

Bazel (Beta)

{Fast, Correct} - Choose two

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google‘s software, and thus it has been designed to handle build problems present in Google’s development environment, including:

  • A massive, shared code repository, in which all software is built from source. Bazel has been built for speed, using both caching and parallelism to achieve this. Bazel is critical to Google's ability to continue to scale its software development practices as the company grows.

  • An emphasis on automated testing and releases. Bazel has been built for correctness and reproducibility, meaning that a build performed on a continuous build machine or in a release pipeline will generate bitwise-identical outputs to those generated on a developer's machine.

  • Language and platform diversity. Bazel's architecture is general enough to support many different programming languages within Google, and can be used to build both client and server software targeting multiple architectures from the same underlying codebase.

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