}
    }

    /**
     * Copies the source Bean to a new instance of the destination Bean and returns it.
     *
     * @param <T> The type of the destination Bean.
     * @param src The source Bean. Must not be {@literal null}.
     * @param destClass The type of the destination Bean. Must not be {@literal null}.
     * @return The newly copied Bean.
     */

     * If an error occurs during execution, it will be cached and re-thrown for subsequent identical requests.
     *
     * @param <REQ> The request type
     * @param <REP> The response type
     * @param req The request object used as the cache key
     * @param supplier The function to execute and cache the result
     * @return The result from the supplier (either fresh or cached)

# Introduction aux types Python { #python-types-intro }

Python prend en charge des « annotations de type » (aussi appelées « type hints ») facultatives.

Ces **« annotations de type »** sont une syntaxe spéciale qui permet de déclarer le <dfn title="par exemple : str, int, float, bool">type</dfn> d'une variable.

En déclarant les types de vos variables, les éditeurs et outils peuvent vous offrir un meilleur support.

    * client workstation has membership is supplied in the Type-1 message.
    * This is used in the negotation of local authentication.
    */
    int NTLMSSP_NEGOTIATE_OEM_DOMAIN_SUPPLIED = 0x00001000;

    /**
    * Indicates whether the OEM-formatted workstation name is supplied
    * in the Type-1 message.  This is used in the negotiation of local
    * authentication.
    */

  - type: textarea
    id: expected
    attributes:
      label: What did you expect to happen?
    validations:
      required: true

  - type: textarea
    id: repro
    attributes:
      label: How can we reproduce it (as minimally and precisely as possible)?
    validations:
      required: true

  - type: textarea
    id: additional
    attributes:
      label: Anything else we need to know?

    schema = Schema(type=type_value)
    assert schema.type == type_value


def test_invalid_type_value() -> None:
    """Test that Schema raises ValueError for invalid type values."""
    with pytest.raises(ValueError, match="2 validation errors for Schema"):

  /**
   * Sets the default value for {@code type}, when dummy value for a parameter of the same type
   * needs to be created in order to invoke a method or constructor. The default value isn't used in
   * testing {@link Object#equals} because more than one sample instances are needed for testing
   * inequality.
   */
  protected final <T> void setDefault(Class<T> type, T value) {
    tester.setDefault(type, value);
  }

  /**

    }

    /**
     * Determines the configuration type from a given config ID.
     * The config type is identified by the first character of the config ID.
     *
     * @param configId the configuration ID to analyze
     * @return the ConfigType (WEB, FILE, or DATA) or null if the config ID is invalid or doesn't match any known type
     */
    public ConfigType getConfigType(final String configId) {

                    "Rectangle": {
                        "properties": {
                            "width": {"type": "integer", "title": "Width"},
                            "length": {"type": "integer", "title": "Length"},
                            "area": {
                                "type": "integer",
                                "title": "Area",
                                "readOnly": True,

        this.resourceType = resourceType;
        this.availableResources = -1;
        this.requestedResources = -1;
    }

    /**
     * Gets the resource type
     *
     * @return the resource type
     */
    public ResourceType getResourceType() {
        return resourceType;
    }

    /**
     * Gets available resources
     *
     * @return available resources or -1 if unknown