}
  }

  /**
   * Propagates {@code throwable} exactly as-is, if and only if it is an instance of {@link
   * RuntimeException}, {@link Error}, or {@code declaredType}.
   *
   * <p><b>Discouraged</b> in favor of calling {@link #throwIfInstanceOf} and {@link
   * #throwIfUnchecked}.
   *
   * @param throwable the Throwable to possibly propagate

 * limitations under the License.
 */
```

### Submitting Your Change

After you submit your pull request, a Gradle developer will review it. It is normal for this to take several iterations, so don't get discouraged by change requests. They ensure the high quality that we all enjoy.

If you need to check on [CI](http://builds.gradle.org/) status as an external contributor, you can click "Log in as guest".

## Useful tips

import java.util.Iterator;
import java.util.List;
import java.util.SortedSet;
import java.util.stream.Stream;
import org.jspecify.annotations.NonNull;
import org.jspecify.annotations.Nullable;

/**
 * A discouraged (but not deprecated) precursor to Java's superior {@link Stream} library.
 *
 * <p>The following types of methods are provided:
 *
 * <ul>

            describe the project, such as on the website. While this element can be specified as
            CDATA to enable the use of HTML tags within the description, it is discouraged to allow
            plain text representation. If you need to modify the index page of the generated website,
            you are able to specify your own instead of adjusting this text.</description>

                                              TF_Operation* input);

// Request that `desc` be co-located on the device where `op`
// is placed.
//
// Use of this is discouraged since the implementation of device placement is
// subject to change. Primarily intended for internal libraries
TF_CAPI_EXPORT extern void TF_ColocateWith(TF_OperationDescription* desc,

            on CPU.
    *   Add nominal support for unsigned 16-bit integer tensor types. Note that
        very few TFLite kernels support this type natively, so its use in mobile
        ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.
    *   Experimental support for lowering `list_ops.tensor_list_set_item` with
        `DynamicUpdateSlice`.

Ha(e,a,t,s){return Sa(e,a,t,s,!1)}M.createFromInputFallback=t("value provided is not in a recognized RFC2822 or ISO format. moment construction falls back to js Date(), which is not reliable across all browsers and versions. Non RFC2822/ISO date formats are discouraged. Please refer to http://momentjs.com/guides/#/warnings/js-date/ for more info.",function(e){e._d=new Date(e._i+(e._useUTC?" UTC":""))}),M.ISO_8601=function(){},M.RFC_2822=function(){};var ja=t("moment().min is deprecated, use moment.max instead....

   * the backport does. For now, we're keeping the class declaration in *both* flavors so that both
   * flavors can read old data or data from the other flavor. However, we strongly discourage
   * relying on this, as we have made incompatible changes to serialized forms in the past and
   * expect to do so again, as discussed in https://github.com/google/guava#important-warnings.
   */

   * the backport does. For now, we're keeping the class declaration in *both* flavors so that both
   * flavors can read old data or data from the other flavor. However, we strongly discourage
   * relying on this, as we have made incompatible changes to serialized forms in the past and
   * expect to do so again, as discussed in https://github.com/google/guava#important-warnings.
   */

* A PR should have a specific use case that it is solving.

* If the PR is for a feature, it should have docs.
    * Unless it's a feature we want to discourage, like support for a corner case that we don't want users to use.
* The docs should include a source example file, not write Python directly in Markdown.