}, {
		name:                 "readyReplicas greater than replicas",
		replicas:             3,
		fullyLabeledReplicas: 3,
		readyReplicas:        4,
		availableReplicas:    3,
		observedGeneration:   1,
		expectedErr:          true,
	}, {
		name:                 "availableReplicas greater than replicas",
		replicas:             3,
		fullyLabeledReplicas: 3,
		readyReplicas:        3,

            "type": "string"
          },
          "replicas": {
            "description": "replicas is the desired number of replicas of the given Template. These are replicas in the sense that they are instantiations of the same Template, but individual replicas also have a consistent identity. If unspecified, defaults to 1.",
            "format": "int32",
            "type": "integer"

in the case where a field is removed from the applied configuration. Removed fields which have no other owners are deleted from the live object, or reset to their default value if they have one. Safe ownership transfers, such as the transfer of a `replicas` field from a user to an HPA without resetting to the default value are documented in [Transferring Ownership](https://kubernetes.io/docs/reference/using-api/api-concepts/#transferring-ownership) ([#92661](https://github.com/kubernetes/kubernetes/pull/92661),...

  let summary = "An Op to exchange data across TPU replicas.";

  let description = [{
On each replica, the input is split into `split_count` blocks along
`split_dimension` and send to the other replicas given group_assignment. After
receiving `split_count` - 1 blocks from other replicas, we concatenate the
blocks along `concat_dimension` as the output.

For example, suppose there are 2 TPU replicas:
replica 0 receives input: `[[A, B]]`

        class to return a `tf.experimental.Optional` instance that contains the
        next value for all replicas or none instead of raising an out of range
        error. Also see *new*
        [guide on input distribution](https://www.tensorflow.org/tutorials/distribute/input).
*   Allow var.assign on MirroredVariables with aggregation=NONE in replica
    context. Previously this would raise an error. We now allow this because