*   tf.optimizers => tf.keras.optimizers
    *   Add tf.keras.layers.AbstractRNNCell as the preferred implementation of
        RNN cell for TF v2. User can use it to implement RNN cell with custom
        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.

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* **[alpha]** New Bootstrap Token authentication and management method. Works well with kubeadm. kubeadm now supports managing tokens, including time based expiration, after the cluster is launched.  See [kubeadm reference docs](https://kubernetes.io/docs/admin/kubeadm/#manage-tokens) for details.

- Fixed a regression introduced in 1.33 where some paginated LIST calls fell back to `etcd` instead of being served from cache. ([#132244](https://github.com/kubernetes/kubernetes/pull/132244), [@hakuna-matatah](https://github.com/hakuna-matatah))

s2[0] = 42                     // setting s2[0] changes s1[0] as well
fmt.Println(s1, s2)            // prints [42] [42 2 3]

var m1 = make(map[string]int)
var m2 = m1                    // m2 stores the map descriptor of m1
m1["foo"] = 42                 // setting m1["foo"] changes m2["foo"] as well
fmt.Println(m2["foo"])         // prints 42
</pre>