import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.core.collection.ArrayUtil;
import org.codelibs.core.concurrent.CommonPoolUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.stream.StreamUtil;
import org.codelibs.fess.Constants;

    @Override
    public String toStringWithRelation() { // #pending
        return toString();
    }

    @Override
    public String buildDisplayString(String name, boolean column, boolean relation) { // #pending
        return toString();
    }

    // ===================================================================================

    @Override
    public String toStringWithRelation() { // #pending
        return toString();
    }

    @Override
    public String buildDisplayString(String name, boolean column, boolean relation) { // #pending
        return toString();
    }

    // ===================================================================================

		return ns.TablePrefix + str
	}

	if ns.SingularTable {
		return ns.TablePrefix + ns.toDBName(str)
	}
	return ns.TablePrefix + inflection.Plural(ns.toDBName(str))
}

// RelationshipFKName generate fk name for relation
func (ns NamingStrategy) RelationshipFKName(rel Relationship) string {
	return ns.formatName("fk", rel.Schema.Table, ns.toDBName(rel.Name))
}

// CheckerName generate checker name

            final SearchHits searchHits = searchResponse.getHits();
            builder.allRecordCount(searchHits.getTotalHits().value());
            builder.allRecordCountRelation(searchHits.getTotalHits().relation().toString());
            builder.queryTime(searchResponse.getTook().millis());

            if (searchResponse.getTotalShards() != searchResponse.getSuccessfulShards()) {
                builder.partialResults(true);

 */
package org.codelibs.fess.rank.fusion;

import java.util.HashMap;
import java.util.Locale;
import java.util.Map;

import org.apache.lucene.search.TotalHits.Relation;
import org.codelibs.fess.entity.FacetInfo;
import org.codelibs.fess.entity.GeoInfo;
import org.codelibs.fess.entity.HighlightInfo;
import org.codelibs.fess.entity.SearchRequestParams;

        // Test with empty string
        searchRenderData.setAllRecordCountRelation("");
        assertEquals("", searchRenderData.getAllRecordCountRelation());

        // Test with relation types
        searchRenderData.setAllRecordCountRelation("eq");
        assertEquals("eq", searchRenderData.getAllRecordCountRelation());

        searchRenderData.setAllRecordCountRelation("gte");

versioning is designed to keep multiple versions of an object in one bucket. For example, you could store `spark.csv` (version `ede336f2`) and `spark.csv` (version `fae684da`) in a single bucket. Versioning protects you from unintended overwrites, deletions, protect objects with retention policies.

To control data retention and storage usage, use object versioning with [object lifecycle management](https://github.com/minio/minio/blob/master/docs/bucket/lifecycle/README.md).  If you have an object...

   *   <li>The {@link Predicate} returned by this method catches {@link ClassCastException} and
   *       {@link NullPointerException}.
   *   <li>Code that chains multiple predicates together (especially negations) may be more readable
   *       using this method. For example, {@code not(in(target))} is generally more readable than
   *       {@code not(target::contains)}.

         */
        protected int pageNumber;
        /**
         * The total number of records found.
         */
        protected long recordCount;
        /**
         * The relation of the record count (e.g., "eq" for exact, "gte" for greater than or equal to).
         */
        protected String recordCountRelation;
        /**
         * The total number of pages in the search results.