Program (i) is combined with other material in a separate file or
  files made available under a Secondary License, and (ii) the initial
  Contributor attached to the Source Code the notice described in
  Exhibit A of this Agreement, then the Program may be made available
  under the terms of such Secondary Licenses, and

  b) a copy of this Agreement must be included with each copy of
  the Program.

	MetaUser           map[string]string `json:"MetaUsr,omitempty" msg:"MetaUsr,allownil"`       // Object version metadata set by user
}

// xlMetaV2Version describes the journal entry, Type defines
// the current journal entry type other types might be nil based
// on what Type field carries, it is imperative for the caller

- Fix kubectl describe CSINode nil pointer error ([#89646](https://github.com/kubernetes/kubernetes/pull/89646), [@zhouya0](https://github.com/zhouya0)) [SIG CLI]
- Fix kubectl describe node for users not having access to lease information. ([#90469](https://github.com/kubernetes/kubernetes/pull/90469), [@uthark](https://github.com/uthark)) [SIG CLI]

    *   Mutation support for admission webhooks. ([#54892](https://github.com/kubernetes/kubernetes/pull/54892),[ @caesarxuchao](https://github.com/caesarxuchao))
    *   Webhook admission now takes a config file that describes how to authenticate to webhook servers ([#54414](https://github.com/kubernetes/kubernetes/pull/54414),[ @deads2k](https://github.com/deads2k))

*   TensorFlow pip packages are now built with CUDA11.2 and cuDNN 8.1.0

## Breaking Changes

*   The `TF_CPP_MIN_VLOG_LEVEL` environment variable has been renamed to
    `TF_CPP_MAX_VLOG_LEVEL` which correctly describes its effect.

## Bug Fixes and Other Changes

*   `tf.keras`:

    *   Preprocessing layers API consistency changes:
        *   `StringLookup` added `output_mode`, `sparse`, and

- Added support for projected volume in describe function  ([#70158](https://github.com/kubernetes/kubernetes/pull/70158), [@WanLinghao](https://github.com/WanLinghao))

 * the query result cursor will both be closed, even if the operation is cancelled or fails.
 *
 * <p>Note that if you don't call {@code closeAsync()}, the captured objects will not be closed. The
 * automatic-closing approach described above is safer.
 *
 * @param <V> the type of the value of this step
 * @since 30.0
 */
// TODO(dpb): Consider reusing one CloseableList for the entire pipeline, modulo combinations.

)

var (
	globalReplicationPool  = once.NewSingleton[ReplicationPool]()
	globalReplicationStats atomic.Pointer[ReplicationStats]
)

// ReplicationPool describes replication pool
type ReplicationPool struct {
	// atomic ops:
	activeWorkers    int32
	activeLrgWorkers int32
	activeMRFWorkers int32

	objLayer    ObjectLayer
	ctx         context.Context

          "nodes after running them or create a new session.");
    }
  }
}

namespace {

// Helper method that creates a shape handle for a shape described by dims.
tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims(
    tensorflow::shape_inference::InferenceContext* ic, int num_dims,
    const int64_t* dims) {
  if (num_dims != -1) {

### CLI

This release includes a change to [kubectl get and describe to work better with extensions](https://github.com/kubernetes/enhancements/issues/515), as the server, rather than the client, returns this information for a smoother user experience.

### Network