import java.util.Optional;
import java.util.Set;
import org.jspecify.annotations.Nullable;

/**
 * An interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data,
 * whose edges are <a
 * href="https://github.com/google/guava/wiki/GraphsExplained#uniqueness">unique</a> objects.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *

 */
package jcifs.internal.fscc;

import jcifs.Decodable;

/**
 * Base interface for File System Control Code (FSCC) file system information structures.
 * Provides common functionality for various SMB2/SMB3 file system information classes
 * used in query file system information operations, with constants for information levels.
 *
 * @author mbechler
 */

 */
package jcifs.internal.fscc;

import jcifs.Decodable;
import jcifs.Encodable;

/**
 * Base interface for File System Control Code (FSCC) file information structures.
 * Defines common functionality for various SMB2/SMB3 file information classes used in
 * query and set file information operations, with constants for information levels.
 *
 * @author mbechler
 */

 */
package jcifs.pac;

import jcifs.CIFSException;

/**
 * Exception thrown when PAC (Privilege Attribute Certificate) data cannot be decoded.
 * Indicates malformed or invalid PAC structures in Kerberos tickets.
 */
public class PACDecodingException extends CIFSException {

    private static final long serialVersionUID = 1L;

    /**

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.internal.dtyp;

import jcifs.Decodable;

/**
 * Interface for Windows Data Type (DTYP) security information structures.
 * Defines constants and functionality for security information types used in
 * SMB security descriptor operations and access control management.
 *
 * @author mbechler
 */

    * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données.
* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.

A execution command of Generate task
which generates classes corresponding your tables,
for example, entities, condition-beans to specified
directories by DBFlute properties on "dfprop" directory.

Generated structures (directories and classes) are like this:
/- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
allcommon : classes bridging to DBFlute Runtime
bsbhv     : base behaviors
bsentity  : base entities

    /**
     * In case of complex XML structures, combining can be done based on id.
     */
    @Deprecated(since = "4.0.0", forRemoval = true)
    String ID_COMBINATION_MODE_ATTRIBUTE = XmlService.ID_COMBINATION_MODE_ATTRIBUTE;

    /**
     * In case of complex XML structures, combining can be done based on keys.
     * This is a comma separated list of attribute names.
     */

import com.google.common.annotations.Beta;
import com.google.errorprone.annotations.DoNotMock;

/**
 * A functional interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data.
 *
 * <p>This interface is meant to be used as the type of a parameter to graph algorithms (such as
 * breadth first traversal) that only need a way of accessing the successors of a node in a graph.
 *

import jakarta.validation.constraints.Size;

/**
 * Form class for creating data store configurations.
 * Data configs allow administrators to set up crawling of various data sources
 * including databases, CSV files, and other structured data sources.
 */
public class CreateForm {

    /**
     * Creates a new CreateForm instance.
     */
    public CreateForm() {
        // Default constructor
    }