if rel, ok := sch.Relationships.Relations[names[0]]; ok {
							subNameCount := len(names)
							// nested relation fields
							relFields := make([]*schema.Field, 0, subNameCount-1)
							relFields = append(relFields, rel.Field)
							for _, name := range names[1 : subNameCount-1] {
								rel = rel.FieldSchema.Relationships.Relations[name]

`linux-amd64` architecture as binary files with the suffix `.fips`. We also publish corresponding container images to our official image repositories.

We are not making any statements or representations about the suitability of this code or build in relation to the FIPS 140-2 standard. Interested users will have to evaluate for themselves whether this is useful for their own purposes....

						if reflect.Indirect(obj).Kind() != reflect.Struct {
							break
						}
						if _, zero := rel.Field.ValueOf(db.Statement.Context, obj); !zero { // check belongs to relation value
							rv := rel.Field.ReflectValueOf(db.Statement.Context, obj) // relation reflect value
							if !isPtr {
								rv = rv.Addr()
							}
							objs = append(objs, obj)
							elems = reflect.Append(elems, rv)

# additionalForeignKeyMap: (NotRequired - Default map:{})
#
# If foreign key does not exist in your database,
# you can set up here as virtual foreign key for DBFlute.
#
# And it's one-to-one relation if you add one fixed condition to referrer table, 
# you can set virtual foreign key with fixedCondition and fixedSuffix.
# And you can use it to view objects too.
#
# If local column name is same as foreign column name,

  /** Constructor for use by subclasses. */
  protected Equivalence() {}

  /**
   * Returns {@code true} if the given objects are considered equivalent.
   *
   * <p>This method describes an <i>equivalence relation</i> on object references, meaning that for
   * all references {@code x}, {@code y}, and {@code z} (any of which may be null):
   *
   * <ul>
   *   <li>{@code equivalent(x, x)} is true (<i>reflexive</i> property)

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;

		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

   *
   * <p>Being reflexive, antisymmetric and transitive, the {@code encloses} relation defines a
   * <i>partial order</i> over ranges. There exists a unique {@linkplain Range#all maximal} range
   * according to this relation, and also numerous {@linkplain #isEmpty minimal} ranges. Enclosure
   * also implies {@linkplain #isConnected connectedness}.
   */

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

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

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

   *
   * <p>Being reflexive, antisymmetric and transitive, the {@code encloses} relation defines a
   * <i>partial order</i> over ranges. There exists a unique {@linkplain Range#all maximal} range
   * according to this relation, and also numerous {@linkplain #isEmpty minimal} ranges. Enclosure
   * also implies {@linkplain #isConnected connectedness}.
   */