*/
@NullUnmarked
public abstract class AbstractGraphTest {

  Graph<Integer> graph;

  /**
   * The same reference as {@link #graph}, except as a mutable graph. This field is null in case
   * {@link #createGraph()} didn't return a mutable graph.
   */
  MutableGraph<Integer> graphAsMutableGraph;

  static final Integer N1 = 1;
  static final Integer N2 = 2;

			}
		}

		if hexes != "" {
			hexByLine[fmt.Sprintf("%s:%d", input, lineno)] = hexes
		}

		// Canonicalize spacing in printed form.
		// First field is opcode, then tab, then arguments separated by spaces.
		// Canonicalize spaces after commas first.
		// Comma to separate argument gets a space; comma within does not.
		var buf []byte
		nest := 0

		return errFileCorrupt
	}
	// bts will shrink as we decode.
	bts := allMeta
	var field []byte
	var zb0001 uint32
	zb0001, bts, err = msgp.ReadMapHeaderBytes(bts)
	if err != nil {
		return msgp.WrapError(err, "loadLegacy.ReadMapHeader")
	}

	var tmp xlMetaV2Version
	for zb0001 > 0 {
		zb0001--
		field, bts, err = msgp.ReadMapKeyZC(bts)
		if err != nil {

   * etc. -> Decoupled class loader -> Finalizer
   *
   * Now, Finalizer no longer keeps an indirect strong reference to the static
   * FinalizableReferenceQueue field in ReferenceMap. The application class loader can be reclaimed
   * at which point the Finalizer thread will stop and its decoupled class loader can also be
   * reclaimed.
   *

 */
@NullUnmarked
public abstract class AbstractGraphTest {

  Graph<Integer> graph;

  /**
   * The same reference as {@link #graph}, except as a mutable graph. This field is null in case
   * {@link #createGraph()} didn't return a mutable graph.
   */
  MutableGraph<Integer> graphAsMutableGraph;

  static final Integer N1 = 1;
  static final Integer N2 = 2;

Puedes usar todas las mismas funcionalidades de validación y herramientas que usas para los modelos de Pydantic, como diferentes tipos de datos y validaciones adicionales con `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Información

     * purposes, the "count" field, tracking the number of elements, serves as that volatile
     * variable ensuring visibility. This is convenient because this field needs to be read in many
     * read operations anyway:
     *
     * - All (unsynchronized) read operations must first read the "count" field, and should not look
     * at table entries if it is 0.
     *

            }

            /*
             * no point in calling readParameterWordsWireFormat if there are no more
             * parameter words. besides, win98 doesn't return "OptionalSupport" field
             */

            if (this.wordCount > 2) {
                readParameterWordsWireFormat(buffer, bufferIndex + 4);

                /*

You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.

{* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}

/// tip

If you want something quick to copy and paste, don't use this example, use the last one below.

///

	}
}

func TestUpdateColumnsSkipsAssociations(t *testing.T) {
	user := *GetUser("update_column_skips_association", Config{})
	DB.Create(&user)

	// Update a single field of the user and verify that the changed address is not stored.
	newAge := uint(100)
	user.Account.Number = "new_account_number"
	db := DB.Model(&user).UpdateColumns(User{Age: newAge})

	if db.RowsAffected != 1 {