commit | 29bd56e3cd3eadd63abcc833c3075ecedfd2e9dc | [log] [tgz] |
---|---|---|
author | Googler <noreply@google.com> | Thu Mar 30 17:10:33 2017 +0000 |
committer | Philipp Wollermann <philwo@google.com> | Fri Mar 31 17:09:12 2017 +0200 |
tree | e1d84f7539a238d25d70c758c52bc58b7038622d | |
parent | 1d9e1ac90197b1d3d7b137ba3c1ada67bb9ba31b [diff] |
Remove RuleContext from ResourceFilter state The RuleContext object is not available when creating dynamic configuration transitions. Removing it from ResourceFilter's state allows us to work with ResourceFilter objects while creating those transitions. If we didn't do this, we'd need to seperate the rest of ResourceFilter's state into a seperate class so that we could work with it as part of doing dynamic configurations. In the next reviews, I'll start actually creating dynamic configurations based on ResourceFilter state. Also, create a withAttrsFrom method that can be used in dynamic configuration transitions, and generally migrate methods that work with attributes from RuleContext to AttributeMap when practical. To support these changes: No longer keep the parsed lists of FolderConfiguration and Density objects as fields of the ResourceFilter, instead, write functions that get them when needed. We want to have access to a RuleContext when we initialize them to avoid errors, and we don't have one in the withAttrsFrom method which will be called as part of transitioning with dynamic configurations. We no longer have those parsed lists to represent whether the object filters during execution or analysis, so replace them with a seperate enum field for filter behavior. Include a FILTER_IN_ANALYSIS_WITH_DYNAMIC_CONFIGURATION option, even though it won't fully be used until the dynamic configuration transition is taken advantage of in the next few reviews. RELNOTES: none PiperOrigin-RevId: 151715400
{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.