* http://code.google.com/p/smhasher/source/browse/trunk/MurmurHash3.cpp, which contained the
   * following header:
   *
   * MurmurHash3 was written by Austin Appleby, and is placed in the public domain. The author
   * hereby disclaims copyright to this source code.
   */
  static int smear(int hashCode) {
    return (int) (C2 * Integer.rotateLeft((int) (hashCode * C1), 15));
  }

local queries = (import './queries.libsonnet').queries({
  container: 'discovery',
  pod: 'istiod-.*',
  component: 'pilot',
  app: 'istiod',
});

dashboard.new('Istio Control Plane Dashboard')
+ g.dashboard.withPanels(
  grid.makeGrid([
    row.new('Deployed Versions')
    + row.withPanels([
      panels.timeSeries.simple('Pilot Versions', queries.istioBuild, 'Version number of each running instance'),

            """
        ),
    ] = _Unset,
    decimal_places: Annotated[
        Union[int, None],
        Doc(
            """
            Maximum number of decimal places allowed for numbers.
            """
        ),
    ] = _Unset,
    examples: Annotated[
        Optional[List[Any]],
        Doc(
            """
            Example values for this field.

	if err != nil {
		return isZtunnel
	}
	if v, ok := pod.Labels["app"]; ok {
		return v == "ztunnel"
	}
	return isZtunnel
}

// InAmbient returns true if a resource is in ambient data plane mode.
func InAmbient(obj metav1.Object) bool {
	if obj == nil {
		return false
	}
	switch t := obj.(type) {
	case *corev1.Pod:

## Que signifie le déploiement

**Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les
utilisateurs**.

Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
l'application efficacement et sans interruption ni problème.

   * it is returned directly. Otherwise, a new array of size {@code minLength + padding} is
   * returned, containing the values of {@code array}, and zeroes in the remaining places.
   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary

   * it is returned directly. Otherwise, a new array of size {@code minLength + padding} is
   * returned, containing the values of {@code array}, and zeroes in the remaining places.
   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary

// Create a new TFE_TensorHandle with the same contents as 'h' but placed
// in the memory of the device name 'device_name'.
// If source and destination are the same device, then this creates a new handle
// that shares the underlying buffer. Otherwise, it currently requires at least
// one of the source or destination devices to be CPU (i.e., for the source or
// destination tensor to be placed in host memory).

        the<JavaPluginExtension>().toolchain {
            // if you change this java version please also consider changing .idea/misc.xml#project/component(@project-jdk-name}
            // Also, there are a lot of other places this should be changed.
            languageVersion = JavaLanguageVersion.of(17)
            vendor = JvmVendorSpec.ADOPTIUM
        }
    }

# Query Parameter Models

If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them.

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

## Query Parameters with a Pydantic Model