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# Objective * Fixes https://github.com/bevyengine/bevy/issues/14074 * Applies CI fixes for #16326 It is currently not possible to issues a trigger that targets a specific list of components AND a specific list of entities ## Solution We can now use `((A, B), (entity_1, entity_2))` as a trigger target, as well as the reverse ## Testing Added a unit test. The triggering rules for observers are quite confusing: Triggers once per entity target For each entity target, an observer system triggers if any of its components matches the trigger target components (but it triggers at most once, since we use an internal counter to make sure that an observer can run at most once per entity target) (copied from #14563) (copied from #16326) ## Notes All credit to @BenjaminBrienen and @cBournhonesque! Just applying a small fix to this PR so it can be merged. --------- Co-authored-by: Benjamin Brienen <Benjamin.Brienen@outlook.com> Co-authored-by: Christian Hughes <xdotdash@gmail.com> Co-authored-by: Alice Cecile <alice.i.cecile@gmail.com> |
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| Cargo.toml | ||
| README.md | ||
Bevy Benchmarks
This is a crate with a collection of benchmarks for Bevy.
Running benchmarks
Benchmarks can be run through Cargo:
# Run all benchmarks. (This will take a while!)
cargo bench -p benches
# Just compile the benchmarks, do not run them.
cargo bench -p benches --no-run
# Run the benchmarks for a specific crate. (See `Cargo.toml` for a complete list of crates
# tracked.)
cargo bench -p benches --bench ecs
# Filter which benchmarks are run based on the name. This will only run benchmarks whose name
# contains "name_fragment".
cargo bench -p benches -- name_fragment
# List all available benchmarks.
cargo bench -p benches -- --list
# Save a baseline to be compared against later.
cargo bench -p benches --save-baseline before
# Compare the current benchmarks against a baseline to find performance gains and regressions.
cargo bench -p benches --baseline before
Criterion
Bevy's benchmarks use Criterion. If you want to learn more about using Criterion for comparing performance against a baseline or generating detailed reports, you can read the Criterion.rs documentation.