Simplify Attribute.Configurator, add dynamic configs support.

Specifically:
 1) Read BuildOptions instead of BuildConfiguration
 2) Remove unused extra parameters

1) is especially useful for dynamic configs. Before this change, dynamic configs just didn't support attribute configurators. This is because support would require Skyframe-instantiating temporary intermediate configurations, which is horribly awkward and would massively complicate Bazel's dependency evaluation logic. Using BuildOptions instead of BuildConfiguration completely eliminates the problem.

As a bonus, dynamic configs can compose attribute configurators with any other transitions (including splits). This actually makes them more powerful than static configs. Whether anyone wants to use that composition is a different story, but that's now a policy decision vs. a technical limitation. This should also come in handy for RuleClass configurators, which will likely also leverage this.

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PiperOrigin-RevId: 150080977
MOS_MIGRATED_REVID=150080977
6 files changed
tree: eac7dde5327147a11c25f8ad205e1ec8caad5bb5
  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
  18. LICENSE.txt
  19. README.md
  20. 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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