import org.opensearch.search.aggregations.metrics.Cardinality;

import jakarta.annotation.Resource;

/**
 * Service class for managing search logs and related analytics.
 *
 * This service provides functionality for querying, aggregating, and managing
 * various types of search logs including search logs, click logs, favorite logs,
 * and user information logs. It supports different aggregation types for

import jakarta.servlet.http.Cookie;
import jakarta.servlet.http.HttpServletRequest;

/**
 * Helper class for handling search operations in Fess.
 *
 * This class provides comprehensive search functionality including document search,
 * scroll search, and bulk operations. It handles search request parameter processing,
 * query building, response formatting, and search log management.
 *
 * Key features:

import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertNull;
import static org.junit.jupiter.api.Assertions.assertTrue;

/**
 * Unit tests for DomUtils functionality with domtrip backend.
 */
class DomUtilsTest {

    @Test
    void testFindChildElement() throws Exception {
        String pomXml = """
            <?xml version="1.0" encoding="UTF-8"?>

 *   }
 * }
 * }
 *
 * <p>This class uses the life cycle methods to read in a list of starting URIs and save the set of
 * outstanding URIs when shutting down. Also, it takes advantage of the scheduling functionality to
 * rate limit the number of queries we perform.
 *
 * @author Luke Sandberg
 * @since 11.0
 */
@GwtIncompatible
@J2ktIncompatible
public abstract class AbstractScheduledService implements Service {

import jcifs.NameServiceClient;
import jcifs.NetbiosAddress;
import jcifs.util.Hexdump;

/**
 * Comprehensive test suite for Type2Message NTLM authentication message.
 * Tests all constructors, parsing, and serialization functionality.
 */
@DisplayName("Type2Message Comprehensive Tests")
class Type2MessageTest {

    private static final byte[] TEST_CHALLENGE = new byte[] { 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08 };

 *   }
 * }
 * }
 *
 * <p>This class uses the life cycle methods to read in a list of starting URIs and save the set of
 * outstanding URIs when shutting down. Also, it takes advantage of the scheduling functionality to
 * rate limit the number of queries we perform.
 *
 * @author Luke Sandberg
 * @since 11.0
 */
@GwtIncompatible
@J2ktIncompatible
public abstract class AbstractScheduledService implements Service {

   * {@link Predicate#apply}. Do not provide a predicate such as {@code
   * Predicates.instanceOf(ArrayList.class)}, which is inconsistent with equals. (See {@link
   * Iterables#filter(Iterable, Class)} for related functionality.)
   *
   * @since 14.0
   */
  public static <E extends @Nullable Object> Multiset<E> filter(
      Multiset<E> unfiltered, Predicate<? super E> predicate) {
    if (unfiltered instanceof FilteredMultiset) {

   * {@link Predicate#apply}. Do not provide a predicate such as {@code
   * Predicates.instanceOf(ArrayList.class)}, which is inconsistent with equals. (See {@link
   * Iterables#filter(Iterable, Class)} for related functionality.)
   *
   * @since 14.0
   */
  public static <E extends @Nullable Object> Multiset<E> filter(
      Multiset<E> unfiltered, Predicate<? super E> predicate) {
    if (unfiltered instanceof FilteredMultiset) {

		}, MakeBucketOptions{
			VersioningEnabled: true,
		})
	})
}

// ExecExtendedObjectLayerTest will execute the tests with combinations of encrypted & compressed.
// This can be used to test functionality when reading and writing data.
func ExecExtendedObjectLayerTest(t *testing.T, objTest objTestType) {
	execExtended(t, func(t *testing.T, init func(), bucketOptions MakeBucketOptions) {
		ExecObjectLayerTest(t, objTest)
	})

    *   Enable `Igamma`, `Igammac` for XLA.
*   Deterministic Op Functionality:
    *   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to