previous_link: str
    preview_link: str
    en_link: str | None = None


def main() -> None:
    logging.basicConfig(level=logging.INFO)
    settings = Settings()

    logging.info(f"Using config: {settings.model_dump_json()}")
    g = Github(auth=Auth.Token(settings.github_token.get_secret_value()))
    repo = g.get_repo(settings.github_repository)
    use_pr = next(

      options:
        - "Yes"
        - "No"
    validations:
      required: true

  - type: markdown
    attributes:
      value: |

### Scheduling

### Bug or Regression

                    dc_list_expiration = now + CACHE_POLICY * 1000L;
                    if (list != null && list.length > 0) {
                        dc_list = list;
                    } else { /* keep using the old list */
                        dc_list_expiration = now + 1000 * 60 * 15; /* 15 min */
                        if (LogStream.level >= 2) {

  
    A previous release built hyperkube using the debian-hyperkube-base@v1.0.0,
    which was updated to address a CVE in the CNI plugins.
    
    A side-effect of using this new image was that the networking packages
    (namely `iptables`) drifted from the versions used in the kube-proxy images.
  
    The following issues were filed on kube-proxy failures when using hyperkube:

     * @return The type of the class realm, never {@code null}.
     */
    RealmType getType();

    /**
     * Gets the parent class realm (if any).
     *
     * @return The parent class realm or {@code null} if using the default parent.
     */
    ClassLoader getParent();

    /**
     * @deprecated Use {@link #getParentImports()} instead.
     * @return imports
     */
    @Deprecated
    List<String> getImports();

import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * A benchmark to determine the overhead of sorting with {@link Ordering#from(Comparator)}, or with
 * {@link Ordering#natural()}, as opposed to using the inlined {@link Arrays#sort(Object[])}
 * implementation, which uses {@link Comparable#compareTo} directly.
 *
 * @author Louis Wasserman
 */
@NullUnmarked
public class ComparatorDelegationOverheadBenchmark {

    // user-specified -XX:+DisableExplicitGC.
    //
    // TODO(user): Consider using
    // java/lang/management/OperatingSystemMXBean.html#getSystemLoadAverage()
    //
    // TODO(user): Consider scaling by number of mutator threads,
    // e.g. using Thread#activeCount()
    return max(10L, Runtime.getRuntime().totalMemory() / (32L * 1024L * 1024L));
  }

  /**

```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.

*Nightly binaries are available for testing using the
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and