// Required.
  optional MatchResources matchConstraints = 2;

  // Validations contain CEL expressions which is used to apply the validation.
  // Validations and AuditAnnotations may not both be empty; a minimum of one Validations or AuditAnnotations is
  // required.
  // +listType=atomic
  // +optional
  repeated Validation validations = 3;

                                                 data-validation="custom"
                                                 data-validation-regexp="(\+|\-)?\d+(\.\d+)?((e|E)(\+|\-)?\d+)?"
                                                 data-validation-help="number (Float)"/>
                                    </div>
                                </div>

    private static final String MAVEN_PLUGIN_VALIDATION_KEY = "maven.plugin.validation";

    private static final String MAVEN_PLUGIN_VALIDATION_EXCLUDES_KEY = "maven.plugin.validation.excludes";

    private static final ValidationReportLevel DEFAULT_VALIDATION_LEVEL = ValidationReportLevel.INLINE;

    private static final Collection<ValidationReportLevel> INLINE_VALIDATION_LEVEL = Collections.unmodifiableCollection(

        alias: Optional[str] = None,
        alias_priority: Union[int, None] = _Unset,
        # TODO: update when deprecating Pydantic v1, import these types
        # validation_alias: str | AliasPath | AliasChoices | None
        validation_alias: Union[str, None] = None,
        serialization_alias: Union[str, None] = None,
        title: Optional[str] = None,
        description: Optional[str] = None,

     * users to migrate their projects.
     */
    int VALIDATION_LEVEL_MAVEN_2_0 = 20;

    /**
     * Denotes validation as performed by Maven 3.0. This validation level is meant for existing projects.
     */
    int VALIDATION_LEVEL_MAVEN_3_0 = 30;

    /**

each(function(c,d){d.validationConfig=b;var e=a(d);e.trigger("formValidationSetup",[e,b]),e.find(".has-help-txt").unbind("focus.validation").unbind("blur.validation"),e.removeClass("has-validation-callback").unbind("submit.validation").unbind("reset.validation").find("input[data-validation],textarea[data-validation]").unbind("blur.validation"),e.bind("submit.validation",function(c){var d=a(this),e=function(){return c.stopImmediatePropagation(),!1};if(a.formUtils.haltValidation)return e();if(a.fo...

Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data.

Without a data validation system, you would have to do all the checks by hand, in code.

La validation des données est une autre fonctionnalité importante dont ont besoin les API. Elle permet de s'assurer
que les données sont valides, compte tenu de certains paramètres. Par exemple, qu'un champ est un `int`, et non un
string.
Ceci est particulièrement utile pour les données entrantes.

Mais, **tout fonctionne** par défaut.

### Validation

* Validation pour la plupart (ou tous?) les **types de données** Python incluant:
    * objets JSON (`dict`).
    * listes JSON (`list`) définissant des types d'éléments.
    * Champs String (`str`), définition de longueur minimum ou maximale.
    * Nombres (`int`, `float`) avec valeur minimale and maximale, etc.

* Validation pour des types plus exotiques, tel que:
    * URL.

                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {