*   challenge. In this case the request URL may be different than the initial request URL.
   *
   * Use the `request` of the [networkResponse] field to get the wire-level request that was
   * transmitted. In the case of follow-ups and redirects, also look at the `request` of the
   * [priorResponse] objects, which have its own [priorResponse].
   */

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.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info | Información

  * **IMPORTANT**: See Action Required for important actions related to this change.

   * of wrapped collections: full and subcollections. Both have a delegate pointing to the
   * underlying collection class.
   *
   * <p>Full collections, identified by a null ancestor field, contain all multimap values for a
   * given key. Its delegate is a value in {@link AbstractMapBasedMultimap#map} whenever the
   * delegate is non-empty. The {@code refreshIfEmpty}, {@code removeIfEmpty}, and {@code addToMap}

            final String fieldName = jsonParser.getCurrentName();
            if (fieldName != null) {
                jsonParser.nextToken(); // Move to the value of the current field

                if (jsonParser.getCurrentToken() == JsonToken.START_ARRAY) {
                    nestedMap.put(fieldName, parseArray(jsonParser));

= X/Z, y = Y/Z, and xy = T/Z per https://eprint.iacr.org/2008/522. x, y, z, t field.Element } type incomparable [0]func() func checkInitialized(points ...*Point) { for _, p := range points { if p.x == (field.Element{}) && p.y == (field.Element{}) { panic("edwards25519: use of uninitialized Point") } } } type projCached struct { YplusX, YminusX, Z, T2d field.Element } type affineCached struct { YplusX, YminusX, T2d field.Element } // Constructors. func (v *projP2) Zero() *projP2 { v.X.Zero() v.Y.One()...

Sie können dieselben Validierungs-Funktionen und -Tools verwenden, die Sie für Pydantic-Modelle verwenden, z. B. verschiedene Datentypen und zusätzliche Validierungen mit `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////

//// tab | Pydantic v1

/// info

  class AddressState(
    val address: Address,
    val queue: TaskQueue,
    var policy: AddressPolicy,
  ) {
    /**
     * How many calls the pool can carry without opening new connections. This field must only be
     * accessed by the connection closer task.
     */
    var concurrentCallCapacity: Int = 0
  }

  companion object {

			}
		}

		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

	}
}

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 {