* Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.

  optional k8s.io.apimachinery.pkg.apis.meta.v1.GroupVersionKind responseKind = 2;

  // acceptedTypes describes the kinds that this endpoint accepts.
  // Subresources may accept the standard content types or define
  // custom negotiation schemes. The list may not be exhaustive for
  // all operations.
  // +listType=map
  // +listMapKey=group
  // +listMapKey=version
  // +listMapKey=kind

   * comes from a data structure supporting efficient indexed random access, typically an array or
   * list.
   *
   * <p>The order of the resulting stream is defined if and only if the order of the original stream
   * was defined.
   */
  public static <T extends @Nullable Object, R extends @Nullable Object> Stream<R> mapWithIndex(
      Stream<T> stream, FunctionWithIndex<? super T, ? extends R> function) {

    validation_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Whitelist' validation step. The parameter field will be the single one
            allowed by the alias or set of aliases defined.
            """
        ),
    ] = None,
    serialization_alias: Annotated[
        Union[str, None],
        Doc(
            """
            'Blacklist' validation step. The vanilla parameter field will be the

  serviceAccount: default
  workloadIps: ["127.0.0.1"]
  protocol: HBONE
  node: local
  network: ""
  services:
    "default/example.com":
      80: 8080
    "default/example2.com":
      80: 8080
# Define another local address, but this one uses TCP. This allows testing HBONE and TCP with one config.
- uid: cluster1//v1/Pod/default/local-tcp
  name: local-tcp
  namespace: default
  serviceAccount: default

@needs_pydanticv1
def test_union_scalar_list():
    # For coverage
    # TODO: there might not be a current valid code path that uses this, it would
    # potentially enable query parameters defined as both a scalar and a list
    # but that would require more refactors, also not sure it's really useful
    from fastapi._compat import is_pv1_scalar_field

    field_info = FieldInfo()
    field = ModelField(

 * limitations under the License.
 */

package com.google.common.graph;

import com.google.common.base.Optional;

/**
 * A base class for builders that construct graphs with user-defined properties.
 *
 * @author James Sexton
 */
@ElementTypesAreNonnullByDefault
abstract class AbstractGraphBuilder<N> {
  final boolean directed;
  boolean allowsSelfLoops = false;

 *
 * <p>An EncryptInvokerRequest encapsulates all the necessary information needed to perform
 * an encryption operation, including any encryption-specific options defined in EncryptOptions.</p>
 *
 * @since 4.0.0
 */
@Experimental
public interface EncryptInvokerRequest extends InvokerRequest<EncryptOptions> {

import javax.inject.Named;
import javax.inject.Singleton;

import org.apache.maven.artifact.resolver.ResolutionNode;

/**
 * Resolves conflicting artifacts by always selecting the farthest declaration. Farthest is defined as the
 * declaration that has the most transitive steps away from the project being built.
 *
 * @since 3.0
 */
@Named("farthest")
@Singleton
@Deprecated

    } 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
    ChainingCalls chainingCall();

    // A method that just happens to return a ChainingCalls object