- We no longer allow the cluster operator to delete any suggested priority & fairness bootstrap configuration object. If a cluster operator removes a suggested configuration, it will be restored by the apiserver. ([#102067](https://github.com/kubernetes/kubernetes/pull/102067), [@tkashem](https://github.com/tkashem))

 * </td></tr>
 *
 * <tr><td ><code>smb1://myworkgroup/</code></td><td>
 * This syntactically is identical to the above example. However if
 * <code>myworkgroup</code> happends to be a workgroup(which is indeed
 * suggested by the name) the <code>list</code> method will return
 * a list of servers that have registered themselves as members of
 * <code>myworkgroup</code>.
 * </td></tr>
 *
 * <tr><td ><code>smb1://</code></td><td>

- ServerResources was deprecated in February 2019 (https://github.com/kubernetes/kubernetes/commit/618050e) and now it's being removed and ServerGroupsAndResources is suggested to be used instead ([#107180](https://github.com/kubernetes/kubernetes/pull/107180), [@ardaguclu](https://github.com/ardaguclu))

- kubectl

- kube-apiserver: a new `--requestheader-uid-headers` flag allows configuring request header authentication to obtain the authenticating user's UID from the specified headers. The suggested value for the new option is `X-Remote-Uid`. When specified, the `kube-system/extension-apiserver-authentication` configmap will include the value in its `.data[requestheader-uid-headers]` field. ([#115834](https://github.com/kubernetes/kubernetes/pull/115834),...

- Remove the deprecated metrics "scheduling_algorithm_preemption_evaluation_seconds" and "binding_duration_seconds", suggest to use "scheduler_framework_extension_point_duration_seconds" instead. ([#96447](https://github.com/kubernetes/kubernetes/pull/96447), [@chendave](https://github.com/chendave)) [SIG Cluster Lifecycle, Instrumentation, Scheduling and Testing]

- Shell completion now knows to continue suggesting resource names when the command supports it.  For example `kubectl get pod pod1 <TAB>` will suggest more Pod names. ([#105711](https://github.com/kubernetes/kubernetes/pull/105711), [@marckhouzam](https://github.com/marckhouzam))

 *   Added `jit_compile` as a settable property to `tf.keras.Model`.
 *   Added `synchronized` optional parameter to `layers.BatchNormalization`.
 *   Added deprecation warning to `layers.experimental.SyncBatchNormalization` and suggested to use `layers.BatchNormalization` with `synchronized=True` instead.
 *   Updated `tf.keras.layers.BatchNormalization` to support masking of the inputs (`mask` argument) when computing the mean and variance.

### Refactors

* 🔥 Remove unused NoneType. PR [#10774](https://github.com/tiangolo/fastapi/pull/10774) by [@tiangolo](https://github.com/tiangolo).

### Docs

* 📝 Tweak default suggested configs for generating clients. PR [#10736](https://github.com/tiangolo/fastapi/pull/10736) by [@tiangolo](https://github.com/tiangolo).

### Internal

mLimbs, Y) T[n+i], c = bits.Add(c1, c2, c) } // Finally for Step 7 we copy the final T window into x, and subtract m // if necessary (which as explained in maybeSubtractModulus can be the // case both if x >= m, or if x overflowed). // // The paper suggests in Section 4 that we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken...