### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

}

func (z *erasureServerPools) LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo {
	var storageInfo StorageInfo

	storageInfos := make([]StorageInfo, len(z.serverPools))
	g := errgroup.WithNErrs(len(z.serverPools))
	for index := range z.serverPools {
		g.Go(func() error {
			storageInfos[index] = z.serverPools[index].LocalStorageInfo(ctx, metrics)
			return nil
		}, index)
	}

			req.URL.Path == healthCheckPathPrefix+healthCheckClusterPath ||
			req.URL.Path == healthCheckPathPrefix+healthCheckClusterReadPath)
}

// guessIsMetricsReq - returns true if incoming request looks
// like metrics request
func guessIsMetricsReq(req *http.Request) bool {
	if req == nil {
		return false
	}
	aType := getRequestAuthType(req)
	return (aType == authTypeAnonymous || aType == authTypeJWT) &&

  /**
   * Invoked when OkHttp decides whether to retry after a connectivity failure.
   *
   * OkHttp won't retry when it is configured not to:
   *
   *  * If retries are forbidden with [OkHttpClient.retryOnConnectionFailure]. (OkHttp's defaults
   *    permit retries.)
   *  * If OkHttp already attempted to transmit the request body, and [RequestBody.isOneShot] is
   *    true.
   *

 * Provides structured logging of security-relevant events with sensitive data masking.
 *
 * Features:
 * - Structured JSON logging
 * - Sensitive data masking
 * - Event categorization
 * - Performance metrics
 * - Compliance-ready audit trail
 * - Asynchronous logging with bounded queue
 * - Object pooling to reduce GC pressure
 */
public class SecurityAuditLogger {

import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

        }
        
        // Fall back to direct server query
        return directory.performDirectEnumeration();
    }
}
```

## 10. Monitoring and Metrics

### 10.1 Directory Cache Statistics
```java
public class DirectoryCacheStatistics {
    private final AtomicLong cacheHits = new AtomicLong();
    private final AtomicLong cacheMisses = new AtomicLong();

import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;

* The implicit registration of Prometheus metrics for workqueue has been removed, and a plug-able interface was added. If you were using workqueue in your own binaries and want these metrics, add the following to your imports in the main package: "k8s.io/pkg/util/workqueue/prometheus". ([#33792](https://github.com/kubernetes/kubernetes/pull/33792), [@caesarxuchao]...

import org.opensearch.search.aggregations.metrics.PercentilesAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ScriptedMetricAggregationBuilder;
import org.opensearch.search.aggregations.metrics.StatsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.SumAggregationBuilder;
import org.opensearch.search.aggregations.metrics.TopHitsAggregationBuilder;
import org.opensearch.search.aggregations.metrics.ValueCountAggregationBuilder;