///

#### Datos con valores para campos con valores por defecto { #data-with-values-for-fields-with-defaults }

Pero si tus datos tienen valores para los campos del modelo con valores por defecto, como el artículo con ID `bar`:

```Python hl_lines="3  5"
{
    "name": "Bar",

configuration using `mc replicate add`. The MinIO implementation is based on V2 configuration, however it has been extended to allow both DeleteMarker replication and replication of versioned deletes with the `DeleteMarkerReplication` and `DeleteReplication` fields in the replication configuration. By default, this is set to `Disabled` unless the user specifies it while adding a replication rule.

Similar to object version replication, DeleteMarker replication also cycles through `PENDING` to `COMPLETED`...

 */
@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;

   * near-simultaneously) then this is the first reason known to this peer.
   */
  internal var errorCode: ErrorCode? = null
    get() = withLock { field }

  /** The exception that explains [errorCode]. Null if no exception was provided. */
  internal var errorException: IOException? = null

  init {
    if (headers != null) {

    val point = Point(null, 9L)
    assertThat(Point.ADAPTER.fromDer(bytes)).isEqualTo(point)
    assertThat(Point.ADAPTER.toDer(point)).isEqualTo(bytes)
  }

  @Test fun `point with both fields set`() {
    val bytes = "3006800109810109".decodeHex()
    val point = Point(9L, 9L)
    assertThat(Point.ADAPTER.fromDer(bytes)).isEqualTo(point)
    assertThat(Point.ADAPTER.toDer(point)).isEqualTo(bytes)
  }

        ContainsPatternPredicate that = (ContainsPatternPredicate) obj;

        // Pattern uses Object (identity) equality, so we have to reach
        // inside to compare individual fields.
        return Objects.equals(pattern.pattern(), that.pattern.pattern())
            && pattern.flags() == that.pattern.flags();
      }
      return false;
    }

    @Override

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

	}
}

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 {

		bucketLoader:  loader,
	}
	mg.validate()
	return mg
}

// AddExtraLabels - adds extra (constant) label KV pairs to the metrics group.
// This is a helper to initialize the `ExtraLabels` field. The argument is a
// list of ordered label name and value pairs.
func (mg *MetricsGroup) AddExtraLabels(labels ...string) {
	if len(labels)%2 != 0 {
		panic("Labels must be an ordered list of name value pairs")
	}

		return nil
	}
	return map[string]string{
		c.Type.String():       c.Encoded,
		xhttp.AmzChecksumType: c.Type.ObjType(),
	}
}

// Equal returns whether two checksum structs are equal in all their fields.
func (c *Checksum) Equal(s *Checksum) bool {
	if c == nil || s == nil {
		return c == s
	}
	return c.Type == s.Type &&
		c.Encoded == s.Encoded &&
		bytes.Equal(c.Raw, s.Raw) &&