PopularWordsResponse response = suggester.popularWords().setSize(10).addExcludeWord("クエリ0").execute().getResponse();

        assertNotNull(response);
        for (String word : response.getWords()) {
            assertTrue(!word.equals("クエリ0"));
        }
    }

    @Test
    public void test_setQueryFreqThreshold() throws Exception {
        indexQueryItems();

        }

        public void deleteElevateWord(String word, boolean apply) {
            // Mock implementation
        }

        public void addElevateWord(org.codelibs.fess.suggest.entity.ElevateWord elevateWord, boolean apply) {
            // Mock implementation
        }

        public void addBadWord(String word, boolean apply) {
            // Mock implementation
        }

// MIPS (MIPS64) instruction set, to minimize its interaction
// with the core of the assembler.

package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/mips"
)

func jumpMIPS(word string) bool {
	switch word {
	case "BEQ", "BFPF", "BFPT", "BGEZ", "BGEZAL", "BGTZ", "BLEZ", "BLTZ", "BLTZAL", "BNE", "JMP", "JAL", "CALL":
		return true
	}
	return false
}

import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.transport.client.Client;

/**
 * Internal operations class for core indexing functionality.
 * Handles indexing of SuggestItem objects with bad word filtering.
 *
 * <p>This class is package-private and intended for internal use by SuggestIndexer.
 */
public class IndexingOperations {

> AI assistant guidance for the Fess Suggest project - a Java library providing intelligent search suggestions built on OpenSearch.

## Project Overview

**Fess Suggest** delivers auto-completion, search suggestions, and popular word analytics with multi-language support.

**Technology Stack:**
- Java 21+, Maven
- OpenSearch (provided dependency)
- Apache Lucene (query parsing, text analysis)
- ICU4J (Unicode text processing)
- JUnit 4 (testing)

    /** Number of records per page */
    private int pageSize;

    /** Current page number */
    private int currentPageNumber;

    /** Search parameter: elevate word ID */
    public String id;

    /** Search parameter: suggest word */
    public String suggestWord;

    /** Search parameter: boost value */
    public String boost;

    /** Search parameter: created by user */
    public String createdBy;

    static final int INVERSE_COMPUTE_FOR_WORD_OF_ALL_1S = 0xeee3ddcd;

    static int computeForWord(int word) {
      return strideTable[3][word & 0xFF]
          ^ strideTable[2][(word >>> 8) & 0xFF]
          ^ strideTable[1][(word >>> 16) & 0xFF]
          ^ strideTable[0][word >>> 24];
    }

    static int combine(int csum, int crc) {
      csum ^= crc;
      for (int i = 0; i < 4; i++) {

        request.setPrefixMatchWeight(prefixMatchWeight);
        return this;
    }

    /**
     * Sets whether to match the first word.
     * @param matchWordFirst True to match the first word, false otherwise.
     * @return This builder instance.
     */
    public SuggestRequestBuilder setMatchWordFirst(final boolean matchWordFirst) {

 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal.test.rest.transform.do_; // 'do' is a reserved word

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.node.ObjectNode;
import org.elasticsearch.gradle.internal.test.rest.transform.ReplaceByKey;
import org.gradle.api.tasks.Internal;

 * This class represents a single protected word entry in the dictionary.
 */
public class ProtwordsItem extends DictionaryItem {
    private final String input;

    private String newInput;

    /**
     * Constructor for ProtwordsItem.
     * @param id the unique identifier for this item
     * @param input the protected word input
     */
    public ProtwordsItem(final long id, final String input) {