Add a dedicated Mainline Test Mapping group for ART

Test of *all* Mainline modules are currently configured in a single
`mainline-presubmit` Test Mapping group. This requires that users indicate the
module to install in every entry and is quite tedious.

The above approach also adds overhead due to installing, checking for, and
uninstalling Mainline modules between test module executions. This eats up
precious presubmit time and gets runtimes close to violating the SLO.

This change moves all ART Mainline module tests into a dedicated Test Mapping
group that installs the Mainline module once before executing all test modules.
This also simplifies the configuration syntax by no longer requiring brackets
that indicate the, now implicit, Mainline module.

Bug: 328102821
Test: ABTD test runs
Change-Id: If9accb54bb4d71fea834ee6fefcd4ba28c19e75e
1 file changed
tree: 12d01ce952ce3b4196b2ab812e9c6b3ade7bd2d5
  1. .github/
  2. bazel/
  3. build_overrides/
  4. buildtools/
  5. debian/
  6. docs/
  7. examples/
  8. gn/
  9. include/
  10. infra/
  11. protos/
  12. python/
  13. src/
  14. test/
  15. third_party/
  16. tools/
  17. ui/
  18. .clang-format
  19. .clang-tidy
  20. .git-blame-ignore-revs
  21. .gitattributes
  22. .gitignore
  23. .gn
  24. .style.yapf
  25. Android.bp
  26. Android.bp.extras
  27. BUILD
  28. BUILD.extras
  29. BUILD.gn
  30. CHANGELOG
  31. codereview.settings
  32. DIR_METADATA
  33. heapprofd.rc
  34. LICENSE
  35. meson.build
  36. METADATA
  37. MODULE_LICENSE_APACHE2
  38. OWNERS
  39. perfetto.rc
  40. PerfettoIntegrationTests.xml
  41. persistent_cfg.pbtxt
  42. PRESUBMIT.py
  43. README.chromium
  44. README.md
  45. TEST_MAPPING
  46. traced_perf.rc
  47. WATCHLISTS
  48. WORKSPACE
README.md

Perfetto - System profiling, app tracing and trace analysis

Perfetto is a production-grade open-source stack for performance instrumentation and trace analysis. It offers services and libraries and for recording system-level and app-level traces, native + java heap profiling, a library for analyzing traces using SQL and a web-based UI to visualize and explore multi-GB traces.

See https://perfetto.dev/docs or the /docs/ directory for documentation.