Use a sorted set for the test suite expansion key to prevent non-determinism.

While a normal set is theoretically sufficient, it can cause hard-to-reproduce
problems. In particular, the iteration order of the expansion result depends
on the iteration order of the requested targets. If there are multiple
requests for the same set of targets, but with different orders, the results
would depend on which request was made first. If a downstream function also
inadvertantly depends on the iteration order, it can be hard to debug why it
ended up with a different order than it requested.

Alternatively, we could sort the result before returning it. We generally
expect the key set to be smaller than the result set, so this should be
ever so slightly more efficient.

--
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tree: 177d671b76823e2b62a49ebf08a6b1bba9454a10
  1. examples/
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  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. compile.sh
  13. CONTRIBUTING.md
  14. CONTRIBUTORS
  15. LICENSE.txt
  16. README.md
  17. 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.

Find more background about Bazel in our FAQ.

Getting Started

About the Bazel project: