rank.fusion.window_size=200
# Rank constant for rank fusion.
rank.fusion.rank_constant=20
# Number of threads for rank fusion.
rank.fusion.threads=-1
# Score field for rank fusion.
rank.fusion.score_field=rf_score

# acl

# Whether to get SMB roles from a file.
smb.role.from.file=true
# Available SID types for SMB.
smb.available.sid.types=1,2,4:2,5:1
# Whether to get file roles from a file.

    /** The key of the configuration. e.g. -1 */
    String RANK_FUSION_THREADS = "rank.fusion.threads";

    /** The key of the configuration. e.g. rf_score */
    String RANK_FUSION_score_field = "rank.fusion.score_field";

    /** The key of the configuration. e.g. true */
    String SMB_ROLE_FROM_FILE = "smb.role.from.file";

            @Override
            public org.opensearch.search.rescore.RescorerBuilder<?> evaluate(java.util.Map<String, Object> params) {
                return null; // Return null for this test
            }
        };

        queryHelper.addQueryRescorer(mockRescorer);

        java.util.Map<String, Object> params = new java.util.HashMap<>();
        org.opensearch.search.rescore.RescorerBuilder<?>[] rescorers = queryHelper.getRescorers(params);

import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.opensearch.index.query.MatchAllQueryBuilder;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

public class QueryRescorerTest extends UnitFessTestCase {

    private QueryRescorer queryRescorer;

    @Override

import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;
import org.opensearch.search.rescore.QueryRescorerBuilder;
import org.opensearch.search.rescore.RescorerBuilder;

public class LtrQueryRescorerTest extends UnitFessTestCase {

    private LtrQueryRescorer ltrQueryRescorer;

    @Override

                    final float rrfScore = 1.0f / (rankConstant + docRank);
                    if (documentsByIdMap.containsKey(id)) {
                        final Map<String, Object> existingDoc = documentsByIdMap.get(id);
                        final float currentScore = toFloat(existingDoc.get(scoreField));
                        existingDoc.put(scoreField, currentScore + rrfScore);
                        // Merge searcher names

        });

        // Add sorts
        queryContext.addSorts(SortBuilders.fieldSort("_score"), SortBuilders.fieldSort("date").unmappedType("date"));

        // Add field logs
        queryContext.addFieldLog("title", "search");
        queryContext.addFieldLog("title", "term");

    /** Field name for document score in search results */
    public static final String SCORE_FIELD = "score";

    /** Field name for OpenSearch document score */
    public static final String DOC_SCORE_FIELD = "_score";

    /** Field name for site information in search results */
    public static final String SITE_FIELD = "site";

    /** Field name for URL-based search queries */
    public static final String INURL_FIELD = "inurl";

    }

    @Test
    public void test_constants() {
        // Test that constants have expected values
        assertEquals("score", QueryFieldConfig.SCORE_FIELD);
        assertEquals("_score", QueryFieldConfig.DOC_SCORE_FIELD);
        assertEquals("site", QueryFieldConfig.SITE_FIELD);
        assertEquals("inurl", QueryFieldConfig.INURL_FIELD);
        assertEquals("score", QueryFieldConfig.SCORE_SORT_VALUE);

### 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`.