validate();
    return delegate;
  }

  private InvalidatableSet(
      Set<E> delegate, Supplier<Boolean> validator, Supplier<String> errorMessage) {
    this.delegate = delegate;
    this.validator = validator;
    this.errorMessage = errorMessage;
  }

  // Override hashCode() to access delegate directly (so that it doesn't trigger the validate() call

  # Validate all yaml files under samples/bookinfo/networking directory
  istioctl validate -f samples/bookinfo/networking

  # Validate current deployments under 'default' namespace within the cluster
  kubectl get deployments -o yaml | istioctl validate -f -

  # Validate current services under 'default' namespace within the cluster
  kubectl get services -o yaml | istioctl validate -f -

    try:
        from pydantic_core.core_schema import (
            with_info_plain_validator_function as with_info_plain_validator_function,
        )
    except ImportError:  # pragma: no cover
        from pydantic_core.core_schema import (
            general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401
        )

    Required = PydanticUndefined
    Undefined = PydanticUndefined

  @CanIgnoreReturnValue
  @VisibleForTesting
  @ParametricNullness
  static <V extends @Nullable Object, X extends Exception> V getChecked(
      GetCheckedTypeValidator validator, Future<V> future, Class<X> exceptionClass) throws X {
    validator.validateClass(exceptionClass);
    try {
      return future.get();
    } catch (InterruptedException e) {
      currentThread().interrupt();
      throw newWithCause(exceptionClass, e);

        List<BuilderProblem> problems = validator.validate(model);
        assertEquals(0, problems.size());

        Repository repo = org.apache.maven.api.settings.Repository.newInstance(false);
        Settings model2 = Settings.newBuilder()
                .profiles(List.of(prof.withRepositories(List.of(repo))))
                .build();
        problems.clear();
        problems = validator.validate(model2);

def get_client():
    from pydantic import BaseModel, ValidationInfo, field_validator

    app = FastAPI()

    class ModelB(BaseModel):
        username: str

    class ModelC(ModelB):
        password: str

    class ModelA(BaseModel):
        name: str
        description: Optional[str] = None
        foo: ModelB

        @field_validator("name")
        def lower_username(cls, name: str, info: ValidationInfo):

d); static void <clinit>(); } org/junit/validator/PublicClassValidator.class package org.junit.validator; public synchronized class PublicClassValidator implements TestClassValidator { private static final java.util.List NO_VALIDATION_ERRORS; public void PublicClassValidator(); public java.util.List validateTestClass(org.junit.runners.model.TestClass); static void <clinit>(); } org/junit/validator/TestClassValidator.class package org.junit.validator; public abstract interface TestClassValidator {...

        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod
        def validate(cls, v: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(v)

apiVersion: admissionregistration.k8s.io/v1
kind: ValidatingWebhookConfiguration
metadata:
  name: istiod-default-validator
  labels:
    app: istiod
    release: {{ .Release.Name }}
    istio: istiod
    istio.io/rev: {{ .Values.defaultRevision | quote }}
webhooks:
  - name: validation.istio.io
    clientConfig:
      {{- if .Values.base.validationURL }}
      url: {{ .Values.base.validationURL }}
      {{- else }}

## Zusammenfassung

Sie können Pydantics `Field` verwenden, um zusätzliche Validierungen und Metadaten für Modellattribute zu deklarieren.