* The binary search implementation has a bug where it accesses array out of bounds.
     */
    @Test
    void testGetMessageByDcerpcError_largerThanAny() {
        int unknownCode = 0x7FFFFFFF; // Max int value

        // The current implementation has a bug in the binary search that causes ArrayIndexOutOfBoundsException

	}

	if user1.Name != "find or init" || user1.ID != 0 || user1.Age != 33 {
		t.Errorf("user should be initialized with search value")
	}

	DB.Where(User{Name: "find or init", Age: 33}).FirstOrInit(&user2)
	if user2.Name != "find or init" || user2.ID != 0 || user2.Age != 33 {
		t.Errorf("user should be initialized with search value")
	}

	DB.FirstOrInit(&user3, map[string]interface{}{"name": "find or init 2"})

 */
package org.codelibs.fess.app.service;

/**
 * Abstract base class for Fess application services.
 * This class provides common functionality and utilities for service implementations
 * throughout the Fess search application.
 */
public abstract class FessAppService {

    /**
     * Default constructor.
     */
    public FessAppService() {
        // Default constructor
    }

    /**

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.search.Query;
import org.codelibs.fess.entity.QueryContext;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

/**

import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.opensearch.query.StoredLtrQueryBuilder;
import org.codelibs.fess.util.ComponentUtil;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

/**
 * Learning to Rank query rescorer implementation.
 */
public class LtrQueryRescorer implements QueryRescorer {

    /**
     * Default constructor.

= Elasticsearch

Elasticsearch is the distributed, RESTful search and analytics engine at the
heart of the https://www.elastic.co/products[Elastic Stack]. You can use
Elasticsearch to store, search, and manage data for:

* Logs
* Metrics
* A search backend
* Application monitoring
* Endpoint security

\... and more!

To learn more about Elasticsearch's features and capabilities, see our

*[Fess Site Search](https://github.com/codelibs/fess-site-search)* est une alternative gratuite à [Google Site Search](https://enterprise.google.com/search/products/gss.html). Pour plus de détails, consultez la [documentation FSS JS Generator](https://fss-generator.codelibs.org/docs/manual).

## Site Web

        assertTrue(emptyResult.isEmpty());
    }

    // Test getEventType method
    @Test
    public void test_getEventType() {
        // Test search event type
        TestSearchLogEvent searchEvent = new TestSearchLogEvent("id", 1L, "search");
        assertEquals("search", searchEvent.getEventType());

        // Test click event type
        TestSearchLogEvent clickEvent = new TestSearchLogEvent("id", 1L, "click");

    /**
     * Retrieve an <code>int</code>. If the key does not exist or
     * cannot be converted to an <code>int</code>, the provided default
     * argument will be returned.
     *
     * @param props the properties to search in
     * @param key the property key to look up
     * @param def the default value to return if key is not found or cannot be parsed
     * @return the integer value of the property or the default value
     */

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;