* @return A <code>boolean</code> indicating whether the flag is set.
     */
    public boolean getFlag(int flag) {
        return (getFlags() & flag) != 0;
    }

    /**
     * Sets or clears the specified flag.
     * 
     * @param flag The flag to set/clear (i.e.,
     * <code>NTLMSSP_NEGOTIATE_OEM</code>).
     * @param value Indicates whether to set (<code>true</code>) or

        AvPairs.replace(serverAvPairs, new AvSingleHost(tc.getConfig()));

        return AvPairs.encode(serverAvPairs);
    }


    /**
     * Sets the MIC
     * 
     * @param type1
     * @param type2
     * @throws GeneralSecurityException
     * @throws IOException
     */

				errChan <- in.sleepWatchInstall(ctx, sets.String{})
			}(ctx)

			select {
			case <-readyChan:
				assert.Equal(t, isReady.Load(), true)
			case err := <-errChan:
				if err == nil {
					t.Fatal("invalid configuration detected")
				}
				t.Fatal(err)
			case <-time.After(5 * time.Second):
				t.Fatal("timed out waiting for isReady to be set to true")
			}

			// Change SA token

  }

  public void testLast_iterable() {
    Set<String> set = ImmutableSet.of("a", "b", "c");
    assertThat(FluentIterable.from(set).last()).hasValue("c");
  }

  public void testLast_emptyIterable() {
    Set<String> set = newHashSet();
    assertThat(FluentIterable.from(set).last()).isAbsent();
  }

  public void testSkip_simple() {
    Collection<String> set = ImmutableSet.of("a", "b", "c", "d", "e");

    for (Collection<V> valueCollection : multimap().asMap().values()) {
      assertTrue(valueCollection instanceof Set);
    }
  }

  public void testAsMapGetImplementsSet() {
    for (K key : multimap().keySet()) {
      assertTrue(multimap().asMap().get(key) instanceof Set);
    }
  }

  @MapFeature.Require(SUPPORTS_REMOVE)
  public void testAsMapRemoveImplementsSet() {

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   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.

              @Override
              public SortedSet<String> create(String[] elements) {
                SortedSet<String> set = new TreeSet<>(arbitraryNullFriendlyComparator());
                Collections.addAll(set, elements);
                return set;
              }
            })
        .named("TreeSet, with comparator")
        .withFeatures(
            SetFeature.GENERAL_PURPOSE,

	tracker.setQueuedBuckets(buckets)
	if err := tracker.save(ctx); err != nil {
		return err
	}

	// Start or resume healing of this erasure set
	if err = z.serverPools[poolIdx].sets[setIdx].healErasureSet(ctx, tracker.QueuedBuckets, tracker); err != nil {
		return err
	}

	// if objects have failed healing, we attempt a retry to heal the drive upto 3 times before giving up.

import java.util.List;
import java.util.Set;

/**
 * Create string sets for collection tests.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public abstract class TestStringSetGenerator implements TestSetGenerator<String> {
  @Override
  public SampleElements<String> samples() {
    return new Strings();
  }

  @Override
  public Set<String> create(Object... elements) {

import java.util.List;
import java.util.Set;

/**
 * Create integer sets for collection tests.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public abstract class TestIntegerSetGenerator implements TestSetGenerator<Integer> {
  @Override
  public SampleElements<Integer> samples() {
    return new Ints();
  }

  @Override
  public Set<Integer> create(Object... elements) {