"description": "SELinuxOptions are the labels to be applied to the container",
        "properties": {
          "level": {
            "description": "Level is SELinux level label that applies to the container.",
            "type": "string"
          },
          "role": {
            "description": "Role is a SELinux role label that applies to the container.",
            "type": "string"
          },

  let summary = "Creates a dataset that fuses mapping with batching.";

  let description = [{
Creates a dataset that applies `f` to the outputs of `input_dataset` and then
batches `batch_size` of them.

Unlike a "MapDataset", which applies `f` sequentially, this dataset invokes up
to `batch_size * num_parallel_batches` copies of `f` in parallel.
  }];

  let arguments = (ins

                  on which this `DestinationRule` configuration should be applied.
                properties:
                  matchLabels:
                    additionalProperties:
                      type: string
                    description: One or more labels that indicate a specific set of
                      pods/VMs on which a policy should be applied.
                    type: object
                type: object

                  on which this patch configuration should be applied.
                properties:
                  labels:
                    additionalProperties:
                      type: string
                    description: One or more labels that indicate a specific set of
                      pods/VMs on which the configuration should be applied.
                    type: object
                type: object

                  on which this patch configuration should be applied.
                properties:
                  labels:
                    additionalProperties:
                      type: string
                    description: One or more labels that indicate a specific set of
                      pods/VMs on which the configuration should be applied.
                    type: object
                type: object

        "description": "ManagedFieldsEntry is a workflow-id, a FieldSet and the group version of the resource that the fieldset applies to.",
        "properties": {
          "apiVersion": {

        most cases and defaults to `verbose=2` when used with
        `ParameterServerStrategy` or with interactive logging disabled.
    *   Argument `jit_compile` in `Model.compile()` now applies to
        `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in
        `compile()` compiles the model's training, evaluation, and inference
        steps to [XLA](https://www.tensorflow.org/xla). Note that

                  Only Services have Extended support. Implementations MAY support
                  additional objects, with Implementation Specific support.
                  Note that this config applies to the entire referenced resource
                  by default, but this default may change in the future to provide
                  a more granular application of the policy.