"options[KUBERNETES.IO]":           "reserved",
				"options[kubernetes.io]":           "reserved",
				"options[kubernetes.io/]":          "reserved",
				"options[kubernetes.io/foo]":       "reserved",
				"options[alpha.kubernetes.io]":     "reserved",
				"options[alpha.kubernetes.io/]":    "reserved",
				"options[alpha.kubernetes.io/foo]": "reserved",
				"options[k8s.io]":                  "reserved",

            "format": "int32",
            "type": "integer"
          },
          "observedGeneration": {
            "description": "The most recent generation observed by the daemon set controller.",
            "format": "int64",
            "type": "integer"
          },
          "updatedNumberScheduled": {

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

    *   Both seeded and unseeded initializers will always generate the same
        values every time they are called (for a given variable shape). For
        unseeded initializers (`seed=None`), a random seed will be created and
        assigned at initializer creation (different initializer instances get
        different seeds).
    *   An unseeded initializer will raise a warning if it is reused (called)