"istio.io/istio/istioctl/pkg/xds"
	pilotxds "istio.io/istio/pilot/pkg/xds"
	"istio.io/istio/pkg/kube"
	istioversion "istio.io/istio/pkg/version"
)

const (
	// Service account to create tokens in
	tokenServiceAccount = "default"
	// Get the pods with limit = 500.
	kubeClientGetPodLimit = 500
)

type ControlPlaneNotFoundError struct {
	Namespace string
}

		if !r.Flags.Filter.CreatedAfter.IsZero() && r.Flags.Filter.CreatedAfter.After(oi.ModTime) {
			// skip all objects that are created before the specified time.
			return true
		}

		if !r.Flags.Filter.CreatedBefore.IsZero() && r.Flags.Filter.CreatedBefore.Before(oi.ModTime) {
			// skip all objects that are created after the specified time.
			return true
		}

		if hasTags {

- The `kubectl debug` is able to create ephemeral containers in pre-1.22 clusters with the `EphemeralContainers` feature enabled. Note that versions of kubectl prior to 1.22 are unable to create ephemeral containers in clusters version 1.22 and greater due to an API change. ([#103292](https://github.com/kubernetes/kubernetes/pull/103292), [@verb](https://github.com/verb))

		switch c := d.next(); c {
		case '\n':
			d.lineStart = d.pos
			d.lineNo++
			continue
		case ' ', '\t', '\r':
			continue
		default:
			return c
		}
	}
	return 0
}

// create syntax errors at current position, with optional context
func (d *Decoder) mkError(err DecoderError, context ...string) error {
	if len(context) > 0 {
		err.context = context[0]
	}
	err.atChar = d.cur()

The user setting up replication needs *s3:GetReplicationConfiguration* and *s3:GetBucketVersioning* permission on the source cluster. We do not recommend running root credentials/super admin with replication, instead create a dedicated user. The access credentials used at the destination requires *s3:ReplicateObject* permission.

*  The default Keras model saving format is now the Keras v3 format: calling `model.save("xyz.keras")` will no longer create a H5 file, it will create a native Keras model file. This will only be breaking for you if you were manually inspecting or modifying H5 files saved by Keras under a `.keras` extension. If this breaks you, simply add `save_format="h5"` to your `.save()` call to...

  void RunT(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs,
            std::initializer_list<TF_Output> outputs,
            const std::vector<std::vector<int32_t>>& expected_results) {
    // Create a session for this graph
    CSession csession(host_graph_, s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);

    // Run
    csession.SetInputs(inputs);
    csession.SetOutputs(outputs);

                byte[] bytes = sums.get(extension).getBytes(StandardCharsets.UTF_8);
                Files.write(
                        Paths.get(temp.getAbsolutePath()), bytes, StandardOpenOption.APPEND, StandardOpenOption.CREATE);

                temporaryFiles.add(temp);
                wagon.put(temp, remotePath + "." + extension);
            }
        } catch (ConnectionException e) {

intended to facilitate the commercial use of the Program, the Contributor
who includes the Program in a commercial product offering should do so in
a manner which does not create potential liability for other Contributors.
Therefore, if a Contributor includes the Program in a commercial product offering,
such Contributor ("Commercial Contributor") hereby agrees to defend and indemnify

    }
    return builder.build();
  }

  /**
   * Explicitly specifies the return type of this {@code Invokable}. For example:
   *
   * <pre>{@code
   * Method factoryMethod = Person.class.getMethod("create");
   * Invokable<?, Person> factory = Invokable.of(getNameMethod).returning(Person.class);
   * }</pre>
   */
  public final <R1 extends R> Invokable<T, R1> returning(Class<R1> returnType) {