* limitations under the License.
 */

package com.google.common.collect;

import com.google.common.annotations.GwtCompatible;
import com.google.errorprone.annotations.CanIgnoreReturnValue;
import com.google.errorprone.annotations.CompatibleWith;
import com.google.errorprone.annotations.DoNotMock;
import java.util.Collection;
import java.util.Map;
import java.util.Objects;

 * limitations under the License.
 */

package com.google.common.util.concurrent;

import static com.google.common.truth.Truth.assertThat;
import static java.util.concurrent.TimeUnit.MINUTES;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Joiner;
import com.google.common.util.concurrent.CycleDetectingLockFactory.Policies;
import com.google.common.util.concurrent.CycleDetectingLockFactory.Policy;

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkArgument;
import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.collect.NullnessCasts.uncheckedCastNullableTToT;
import static java.lang.Math.max;
import static java.util.Arrays.asList;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.truth.Truth.assertThat;
import static java.lang.Long.MAX_VALUE;
import static java.lang.Thread.currentThread;
import static java.util.concurrent.Executors.newCachedThreadPool;

.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler) | [amd64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-amd64), [arm](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm), [arm64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-arm64), [ppc64le](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-scheduler-ppc64le), [s390x](https://console.cloud.google.com/gc...

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import com.google.common.annotations.GwtIncompatible;
import com.google.errorprone.annotations.DoNotMock;
import java.util.Collection;
import java.util.Map;
import java.util.Map.Entry;
import java.util.NoSuchElementException;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.io;

import com.google.errorprone.annotations.CanIgnoreReturnValue;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.collect;

import java.util.Arrays;
import java.util.Collections;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.Map;
import java.util.Set;

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.cache;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.cache.LocalCache.ValueReference;
import org.jspecify.annotations.Nullable;

/**
 * An entry in a reference map.
 *

   
   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.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.