getReferenceOffsets(\n    this.state,\n    this.popper,\n    this.reference,\n    this.options.positionFixed\n  );\n\n  // compute auto placement, store placement inside the data object,\n  // modifiers will be able to edit `placement` if needed\n  // and refer to originalPlacement to know the original value\n  data.placement = computeAutoPlacement(\n    this.options.placement,\n    data.offsets.reference,\n    this.popper,\n    this.reference,\n    this.options.modifiers.flip.boundariesElement,\n    thi...

code as you receive it, in any medium, provided that you conspicuously
and appropriately publish on each copy an appropriate copyright notice
and disclaimer of warranty; keep intact all the notices that refer to
this License and to the absence of any warranty; and give any other
recipients of the Program a copy of this License along with the Program.

You may charge a fee for the physical act of transferring a copy, and

// the corresponding function's output will equal to this input,
// instead of the original node's output.
//
// Callers must also satisfy the following constraints:
// - `inputs` cannot refer to TF_Outputs within a control flow context. For
//   example, one cannot use the output of "switch" node as input.
// - `inputs` and `outputs` cannot have reference types. Reference types are

There are no known mitigations to this vulnerability.

#### Fixed Versions

- kubelet v1.22.14
- kubelet v1.23.11
- kubelet v1.24.5
- kubelet v1.25.0


To upgrade, refer to this documentation _For core Kubernetes:_ https://kubernetes.io/docs/tasks/administer-cluster/cluster-management/#upgrading-a-cluster 

### Detection

 * cancellation of the operation so far. The only way to extract the value or exception from a step
 * is by declaring that step to be the last step of the pipeline. Nevertheless, we refer to the
 * "value" of a successful step or the "result" (value or exception) of any step.
 *
 * <ol>
 *   <li>A pipeline starts at its leaf step (or steps), which is created from either a callable

        `trace_on`.

*   `tf.estimator`

    *   The tf.estimator API is removed.

*   Keras 3.0 will be the default Keras version. You may need to update your
    script to use Keras 3.0.

*   Please refer to the new Keras documentation for Keras 3.0
    (https://keras.io/keras_3).

*   To continue using Keras 2.0, do the following.

*   1.  Install tf-keras via pip install tf-keras~=2.16

* New client-go structure, refer to kubernetes/client-go for versioning policy ([#34989](https://github.com/kubernetes/kubernetes/pull/34989), [@caesarxuchao](https://github.com/caesarxuchao))

</p>

<pre>
lock(l)
defer unlock(l)  // unlocking happens before surrounding function returns

// prints 3 2 1 0 before surrounding function returns
for i := 0; i &lt;= 3; i++ {
	defer fmt.Print(i)
}

// f returns 42
func f() (result int) {
	defer func() {
		// result is accessed after it was set to 6 by the return statement
		result *= 7

* Protobuf serialization does not distinguish between `[]` and `null`.

    public static final String LABELS_development_mode_warning = "{labels.development_mode_warning}";

    /** The key of the message: The system you are using is no longer supported. Please refer to the product support lifecycle page and upgrade. */
    public static final String LABELS_eol_error = "{labels.eol_error}";

    /** The key of the message: Search Screen */