}
	switch {
	case key.ItemCount == 1:
		var event event.Event
		event, err = target.store.Get(key)
		if err != nil {
			// The last event key in a successful batch will be sent in the channel atmost once by the replayEvents()
			// Such events will not exist and wouldve been already been sent successfully.
			if os.IsNotExist(err) {
				return nil
			}
			return err
		}
		err = target.send(event)

 *             loadExceptionCount} are incremented, and the total loading time, in nanoseconds, is
 *             added to {@code totalLoadTime}.
 *         <li>Cache lookups that encounter a missing cache entry that is still loading will wait
 *             for loading to complete (whether successful or not) and then increment {@code
 *             missCount}.
 *       </ul>
 *   <li>When an entry is evicted from the cache, {@code evictionCount} is incremented.

 *             loadExceptionCount} are incremented, and the total loading time, in nanoseconds, is
 *             added to {@code totalLoadTime}.
 *         <li>Cache lookups that encounter a missing cache entry that is still loading will wait
 *             for loading to complete (whether successful or not) and then increment {@code
 *             missCount}.
 *       </ul>
 *   <li>When an entry is evicted from the cache, {@code evictionCount} is incremented.

 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 * 
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 * 

// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//

   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

   * iterate over keys in their enum definition order, not encounter order.
   *
   * <p>If the mapped keys contain duplicates, the values are merged using the specified merging
   * function.
   *
   * @since 33.2.0 (available since 21.0 in guava-jre)
   */
  @SuppressWarnings("Java7ApiChecker")
  @IgnoreJRERequirement // Users will use this only if they're already using streams.

     *
     * @param artifact           artifact we are interested in. Only <code>groupid</code> and <code>artifactId</code>
     *                           are needed, for instance the following code will work
     *                           <code>artifactFactory.createProjectArtifact( "org.apache.maven", "maven", "" )</code>
     * @param localRepository    local repository

 */
@Deprecated(since = "4.0.0")
public interface ProfileSelector {

    /**
     * Determines the profiles which are active in the specified activation context. Active profiles will eventually be
     * injected into the model.
     *
     * @param profiles The profiles whose activation status should be determined, must not be {@code null}.

import (
	"net/netip"
	"os"
	"os/exec"
	"path/filepath"
	"strings"
	"sync"
	"testing"

	// Create a new mount namespace.
	"github.com/howardjohn/unshare-go/mountns"
	// Create a new network namespace. This will have the 'lo' interface ready but nothing else.
	_ "github.com/howardjohn/unshare-go/netns"
	"github.com/howardjohn/unshare-go/userns"

	"istio.io/istio/cni/pkg/scopes"
	"istio.io/istio/pkg/test/util/assert"