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...

  // 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>

    * Vous pouvez avoir des objets **JSON fortement imbriqués** tout en ayant, pour chacun, de la validation et des annotations.
* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

			}
			return m, nil
		}
	}
	return nil, nil
}

func (v *validator) validateFile(path string, istioNamespace *string, defaultNamespace string, reader io.Reader, writer io.Writer,
) (validation.Warning, error) {
	yamlReader := kubeyaml.NewYAMLReader(bufio.NewReader(reader))
	var errs error
	var warnings validation.Warning
	for {
		doc, err := yamlReader.Read()
		if err == io.EOF {

////

## Recap

You can declare additional validations and metadata for your parameters.

Generic validations and metadata:

* `alias`
* `title`
* `description`
* `deprecated`

Validations specific for strings:

* `min_length`
* `max_length`
* `pattern`

In these examples you saw how to declare validations for `str` values.

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

-type")||"image";if(!f)throw new Error("Google reCaptcha site key is required.");var j=grecaptcha.render(e,{sitekey:f,theme:g,size:h,type:i,callback:function(a){b.find('[data-validation~="recaptcha"]').trigger("validation",a&&""!==a)},"expired-callback":function(){b.find('[data-validation~="recaptcha"]').trigger("validation",!1)}});d.valAttr("recaptcha-widget-id",j).hide().on("beforeValidation",function(a){a.stopImmediatePropagation()}).parent().append(e)})})},a(b).on("validatorsLoaded formValid...

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

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