description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

                                  description: The Maglev load balancer implements
                                    consistent hashing to backend hosts.
                                  properties:
                                    tableSize:
                                      description: The table size for Maglev hashing.
                                      minimum: 0
                                      type: integer

Guava is a set of core Java libraries from Google that includes new collection
types (such as multimap and multiset), immutable collections, a graph library,
and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
is widely used on most Java projects within Google, and widely used by many
other companies as well.



Guava comes in two flavors:

* **Sicheres Passwort**-Hashing standardmäßig.
* **JWT-Token**-Authentifizierung.
* **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können).

		// time when fresh disks were supplied, it is a two dimensional
		// array second dimension represents list of disks used per set.
		Sets [][]string `json:"sets"`
		// Distribution algorithm represents the hashing algorithm
		// to pick the right set index for an object.
		DistributionAlgo string `json:"distributionAlgo"`
	} `json:"xl"`
}

					"testing-jvm",
					"worker-processes",
					"files",
					"java-language-extensions",
					"build-cache-packaging",
					"build-operations",
					"precondition-tester",
					"tooling-api-builders",
					"hashing",
					"base-services-groovy",
					"kotlin-dsl-provider-plugins"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"plugin-use",

    int hashCode = 0;
    int uniques = 0;
    for (int i = 0; i < n; i++) {
      Object element = checkElementNotNull(elements[i], i);
      int hash = element.hashCode();
      for (int j = Hashing.smear(hash); ; j++) {
        int index = j & mask;
        Object value = table[index];
        if (value == null) {
          // Came to an empty slot. Put the element here.
          elements[uniques++] = element;

   * can hold setSize elements with the desired load factor. Always returns at least setSize + 2.
   */
  // TODO(cpovirk): Move to Hashing or something, since it's used elsewhere in the Android version.
  static int chooseTableSize(int setSize) {
    setSize = Math.max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.

   * <p>Implementations should be collections of pure functions (i.e. stateless).
   */
  interface Strategy extends java.io.Serializable {

    /**
     * Sets {@code numHashFunctions} bits of the given bit array, by hashing a user element.
     *
     * <p>Returns whether any bits changed as a result of this operation.
     */
    <T extends @Nullable Object> boolean put(
        @ParametricNullness T object,

    Se não souber, você aprenderá o que é uma "senha hash" nos [capítulos de segurança](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

## Múltiplos modelos

Aqui está uma ideia geral de como os modelos poderiam parecer com seus campos de senha e os lugares onde são usados:

=== "Python 3.8 and above"