type: array
                              ports:
                                description: Optional.
                                items:
                                  type: string
                                type: array
                            type: object
                        type: object
                      type: array
                    when:

                                type: array
                              ports:
                                description: Optional.
                                items:
                                  type: string
                                type: array
                            type: object
                        type: object
                      type: array
                    when:

        dataset, in one function call.
    *   **[`timeseries_dataset_from_array`](https://www.tensorflow.org/api_docs/python/tf/keras/preprocessing/timeseries_dataset_from_array)**
        is a `tf.data.Dataset`-based replacement of the legacy
        `TimeseriesGenerator`. It takes you from an array of timeseries data to
        a dataset of shifting windows with their targets.
*   Added

- Fixed a bug that prevents kubectl to validate CRDs with schema using x-kubernetes-preserve-unknown-fields on object fields.
  Fix kubectl SchemaError on CRDs with schema using x-kubernetes-preserve-unknown-fields on array types. ([#96562](https://github.com/kubernetes/kubernetes/pull/96562), [@gautierdelorme](https://github.com/gautierdelorme)) [SIG API Machinery and Testing]