fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

        "profiler",
        defaultProfiler,
        display = ParameterDisplay.PROMPT,
        allowEmpty = false,
        description =
            "Command line option for the performance test task to enable profiling. " +
                "For example `async-profiler`, `async-profiler-heap`, `async-profiler-wall`, `async-profiler-all` or `jfr`. Use `none` for benchmarking only.",
    )
}

                  <project path="$PROJECT_DIR$/build-logic/packaging" />
                  <project path="$PROJECT_DIR$/build-logic/performance-testing" />
                  <project path="$PROJECT_DIR$/build-logic/profiling" />
                  <project path="$PROJECT_DIR$/build-logic/root-build" />
                  <project path="$PROJECT_DIR$/build-logic/uber-plugins" />
                </projects>
              </build>

    implementation(projects.documentation)
    implementation(projects.integrationTesting)
    implementation(projects.jvm)
    implementation(projects.performanceTesting)
    implementation(projects.profiling)
    implementation(projects.binaryCompatibility)
    implementation(projects.dependencyModules)

    implementation(buildLibs.codenarc) {
        exclude(group = "org.apache.groovy")

 *
 * <p>The message string is not formatted unless the exception will be thrown, so the cost of the
 * string formatting itself should not be a concern.
 *
 * <p>As with any performance concerns, you should consider profiling your code (in a production
 * environment if possible) before spending a lot of effort on tweaking a particular element.
 *
 * <h3>Other types of preconditions</h3>
 *

 *
 * <p>The message string is not formatted unless the exception will be thrown, so the cost of the
 * string formatting itself should not be a concern.
 *
 * <p>As with any performance concerns, you should consider profiling your code (in a production
 * environment if possible) before spending a lot of effort on tweaking a particular element.
 *
 * <h3>Other types of preconditions</h3>
 *

The assembler automatically inserts <code>BP</code> save/restore when frame size is larger than zero.
Using <code>BP</code> as a general purpose register is allowed,
however it can interfere with sampling-based profiling.
</p>

<h3 id="arm">ARM</h3>

<p>
The registers <code>R10</code> and <code>R11</code>
are reserved by the compiler and linker.
</p>

<p>

async def run_endpoint_function(
    *, dependant: Dependant, values: dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:

- LoadBalancerIPMode feature was marked as GA. ([#127348](https://github.com/kubernetes/kubernetes/pull/127348), [@RyanAoh](https://github.com/RyanAoh)) [SIG Apps, Network and Testing]
- Locked the custom profiling feature in `kubectl debug` to true. ([#127187](https://github.com/kubernetes/kubernetes/pull/127187), [@ardaguclu](https://github.com/ardaguclu)) [SIG CLI and Testing]
- Output for the `ScalingReplicaSet` event has changed from:

    formats during training, improving performance by up to 3x on GPUs and 60%
    on TPUs. Please see below for additional details.

*   TensorFlow Profiler now supports profiling `MultiWorkerMirroredStrategy` and
    tracing multiple workers using the
    [sampling mode API](https://www.tensorflow.org/guide/profiler#profiling_apis).

*   TFLite Profiler for Android is available. See the detailed