params(name)
            params("${providedBy.size}")
        }
    }

    /**
     * For all modules providing a capability, always use the preferred module, even if there's no conflict.
     * In other words, will forcefully upgrade all modules providing a capability to a selected module.
     *
     * @param to the preferred module
     */
    private

There have been discussions on embedding a Java runtime in the Gradle distribution.
This would allow users to run Gradle without having to install a Java runtime beforehand.
This capability could help increase Gradle adoption outside of the JVM ecosystem.

Gradle can be invoked in different ways:
* Through the [Gradle Wrapper](https://docs.gradle.org/8.8/userguide/gradle_wrapper.html)

   * Network}'s edge-oriented methods (such as {@code inEdges()}) will return views transformed from
   * the corresponding node-oriented methods (such as {@code predecessors()}).
   *
   * <p>This capability facilitates writing implementations of <a
   * href="https://github.com/google/guava/wiki/GraphsExplained#graph-types-for-algorithms">edge-oriented
   * code</a>.
   *
   * @since NEXT
   */

        'you want to build with.\nYou can find the compute capability of your '
        'device at: https://developer.nvidia.com/cuda-gpus. Each capability '
        'can be specified as "x.y" or "compute_xy" to include both virtual and'
        ' binary GPU code, or as "sm_xy" to only include the binary '
        'code.\nPlease note that each additional compute capability '

            }

            public void remove(String sessionCountId) {
                // No-op
            }
        }, "crawlingConfigHelper");

        // Fast mock SystemHelper with immediate force stop capability
        ComponentUtil.register(new SystemHelper() {
            private final AtomicBoolean forceStop = new AtomicBoolean(false);

            @Override
            public long getCurrentTimeAsLong() {

        assertEquals(messageCode, exception.getMessageCode());
    }

    @Test
    public void test_verifySerialVersionUID() {
        // Setup
        final String message = "Test serialization capability";
        final VaMessenger<FessMessages> messageCode = messages -> messages.addErrorsInvalidQueryUnknown(UserMessages.GLOBAL_PROPERTY_KEY);

        // Execute

    throwing in 5.0.0, we inadvertently removed the ability for callers to peek the trailers
    (by catching the `IllegalStateException` if they weren't available). This new API restores that
    capability.

 *  Fix: Don't crash on `trailers()` if the response doesn't have a body. We broke [Retrofit] users
    who read the trailers on the `raw()` OkHttp response, after its body was decoded.


## Version 5.0.0

# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current
# major release. Example: sm_80 kernels can run on sm_89 GPUs but
# not on sm_90 GPUs. compute_80 kernels though can also run on sm_90 GPUs.

* Fix `cstring.h` missing file issue with the Libtensorflow archive.

# Release 2.17.0

## TensorFlow

### Breaking Changes

* GPU
    * Support for NVIDIA GPUs with compute capability 5.x (Maxwell generation) has been removed from TF binary distributions (Python wheels).

### Major Features and Improvements

- Introduced the Node Declared Features capability (alpha), which includes:
  - A new `Node.Status.DeclaredFeatures` field for publishing node-specific features.
  - A `component-helpers` library for feature registration and inference.