* 👷🏻 Update Labeler GitHub Actions. PR [#12019](https://github.com/fastapi/fastapi/pull/12019) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Update configs for MkDocs for languages and social cards. PR [#12016](https://github.com/fastapi/fastapi/pull/12016) by [@tiangolo](https://github.com/tiangolo).

- Cordoned nodes are now deregistered from AWS target groups. ([#85920](https://github.com/kubernetes/kubernetes/pull/85920), [@hoelzro](https://github.com/hoelzro)) [SIG Cloud Provider]
- Do not add nodes labeled with kubernetes.azure.com/managed=false to backend pool of load balancer. ([#93034](https://github.com/kubernetes/kubernetes/pull/93034), [@matthias50](https://github.com/matthias50)) [SIG Cloud Provider]

        to a labeled dataset, in one function call. Note that it doesn't perform
        image data augmentation (which is meant to be done using preprocessing
        layers).
    *   **[`text_dataset_from_directory`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/text_dataset_from_directory)**
        takes you from a structured directory of text files to a labeled
        dataset, in one function call.

     */
    String getLdapAttrHomePostalAddress();

    /**
     * Get the value for the key 'ldap.attr.labeledURI'. <br>
     * The value is, e.g. labeledURI <br>
     * comment: LDAP attribute for labeled URI.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getLdapAttrLabeledURI();

    /**