lenient().when(servletConfig.getInitParameterNames()).thenReturn(Collections.emptyEnumeration());

        // Create a custom NetworkExplorer that bypasses resource loading
        networkExplorer = createMockedNetworkExplorer(false, "jCIFS");

        assertDoesNotThrow(() -> networkExplorer.init(servletConfig));
    }

    /**

    }

    @Test
    public void test_constructorWithThrowableCause_LinkageError() {
        // Test with LinkageError subclass
        String url = "http://example.com/data";
        String message = "Class loading error during crawling";
        NoClassDefFoundError error = new NoClassDefFoundError("Parser class not found");

        DataStoreCrawlingException exception = new DataStoreCrawlingException(url, message, error);

./mc mb minio1/test-bucket --insecure

# Enable SSE KMS for the bucket
./mc encrypt set sse-kms minio-default-key minio1/test-bucket --insecure

# Load objects to source site
echo "Loading objects to source MinIO instance"
./mc cp /tmp/data/encrypted minio1/test-bucket --insecure
./mc cp /tmp/data/mpartobj minio1/test-bucket/mpartobj --enc-c "minio1/test-bucket/mpartobj=${TEST_MINIO_ENC_KEY}" --insecure

 *       normalization, contents, and contents reading) for a specific field.</li>
 * </ul>
 *
 * @see SuggestAnalyzer
 * @see FieldAnalyzerMapping
 */
public class AnalyzerSettings {
    /** Analyzer name for reading. */
    public static final String READING_ANALYZER = "reading_analyzer";
    /** Analyzer name for reading term. */

		return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))
	bucketMetas := make([]BucketMetadata, len(buckets))
	for index := range buckets {

		Help:           help,
		VariableLabels: labels,
	}
}

type metricValue struct {
	Labels map[string]string
	Value  float64
}

// MetricValues - type to set metric values retrieved while loading metrics. A
// value of this type is passed to the `MetricsLoaderFn`.
type MetricValues struct {
	values      map[MetricName][]metricValue
	descriptors map[MetricName]MetricDescriptor
}

import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicReferenceArray;
import java.util.logging.LogRecord;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests relating to cache loading: concurrent loading, exceptions during loading, etc.
 *
 * @author mike nonemacher
 */
@NullUnmarked
public class CacheLoadingTest extends TestCase {

   * Supports-Loading-Mode}</a> header field name. This can be used to specify, for example, <a
   * href="https://developer.chrome.com/docs/privacy-sandbox/fenced-frame/#server-opt-in">fenced
   * frames</a>.
   *
   * @since 32.0.0
   */
  public static final String SUPPORTS_LOADING_MODE = "Supports-Loading-Mode";

  /**

    *   Added APIs for switching between interactive logging and absl logging.
        By default, Keras always writes the logs to stdout. However, this is not
        optimal in a non-interactive environment, where you don't have access to
        stdout, but can only view the logs. You can use
        `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSL
        logging. You can also use `tf.keras.utils.enable_interactive_logging()`

import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.CoreLibConstants;
import org.codelibs.core.exception.InterruptedRuntimeException;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.lang.ThreadUtil;