}
          i++;
          buffer |= codePointToFourUtf8Bytes(codePoint) << shift;
          if (supplementaryPlaneFix) { // bug compatibility: earlier versions did not have this add
            shift += 32;
          }
          len += 4;
        }

        if (shift >= 32) {
          int k1 = mixK1((int) buffer);
          h1 = mixH1(h1, k1);

   *     operation
   * @since 21.0
   */
  void removeAll(Iterable<Range<C>> ranges);

  // Object methods

  /**
   * Returns {@code true} if {@code obj} is another {@code RangeSet} that contains the same ranges
   * according to {@link Range#equals(Object)}.
   */
  @Override
  boolean equals(@Nullable Object obj);

  /** Returns {@code asRanges().hashCode()}. */
  @Override
  int hashCode();

      new ForwardingWrapperTester()
          .includingEquals()
          .testForwarding(Equals.class, NoDelegateToEquals.WRAPPER);
    } catch (AssertionFailedError expected) {
      return;
    }
    fail("Should have failed");
  }

  /** An interface for the 2 ways that a chaining call might be defined. */
  private interface ChainingCalls {
    // A method that is defined to 'return this'
    @CanIgnoreReturnValue

## Pydantic

Toda a validação de dados é feita por baixo dos panos pelo <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, então você tem todos os benefícios disso. E assim você sabe que está em boas mãos.

Você pode usar as mesmas declarações de tipo com `str`, `float`, `bool` e muitos outros tipos complexos de dados.

Vamos explorar muitos destes tipos nos próximos capítulos do tutorial.

/// check | Revisa

Nota que no tienes que crear una clase especial y pasarla en algún lugar a **FastAPI** para "registrarla" o algo similar.

Solo la pasas a `Depends` y **FastAPI** sabe cómo hacer el resto.

///

## Compartir dependencias `Annotated`

En los ejemplos anteriores, ves que hay un poquito de **duplicación de código**.

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"errors"
	"math/rand"
	"reflect"
	"runtime"

 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

package jcifs.ntlmssp;

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"bytes"
	"context"
	"crypto/rand"
	"io"
	"testing"

 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */

#### Data "schema" { #data-schema }

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema { #openapi-and-json-schema }