double setSize = rng.nextDouble();
      if (setSize < emptySetProportion) {
        sets[i] = ImmutableSet.of();
      } else if (setSize < emptySetProportion + singletonSetProportion) {
        sets[i] = ImmutableSet.of(PRESENT);
      } else {
        sets[i] = ImmutableSet.of(PRESENT, new Object());
      }

      if (rng.nextDouble() < hitRate) {
        queries[i] = PRESENT;
      } else {

   
   
   *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.

  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test
  public void equivalent_directedVsUndirected() {
    graph.putEdge(N1, N2);

    MutableGraph<Integer> g2 = createGraph(oppositeType(edgeType));
    g2.putEdge(N1, N2);

    assertThat(graph).isNotEqualTo(g2);
  }

  // Node/edge sets and node/edge connections are the same, but directedness differs.

  @Override
  NavigableSet<Integer> createUnfiltered(Iterable<Integer> contents) {
    return Sets.newTreeSet(contents);
  }

  @Override
  NavigableSet<Integer> filter(
      NavigableSet<Integer> elements, Predicate<? super Integer> predicate) {
    return Sets.filter(elements, predicate);
  }

}

// Mul sets z = x * y and returns z.
func (z *Int) Mul(x, y *Int) *Int {
	x.doinit()
	y.doinit()
	z.doinit()
	C.mpz_mul(&z.i[0], &x.i[0], &y.i[0])
	return z
}

// Div sets z = x / y, rounding toward zero, and returns z.
func (z *Int) Div(x, y *Int) *Int {
	x.doinit()
	y.doinit()
	z.doinit()
	C.mpz_tdiv_q(&z.i[0], &x.i[0], &y.i[0])
	return z
}

// Mod sets z = x % y and returns z.

                Maps.immutableEntry("bar", (Collection<Integer>) Sets.newHashSet(4, 5, 10, 11)),
                Maps.immutableEntry("baz", (Collection<Integer>) Sets.newHashSet(7, 8)),
                Maps.immutableEntry("dog", (Collection<Integer>) Sets.newHashSet(9)),
                Maps.immutableEntry("cat", (Collection<Integer>) Sets.newHashSet(12, 13, 14))));

import com.google.common.annotations.GwtIncompatible;
import com.google.common.collect.ImmutableSortedMap;
import com.google.common.collect.Lists;
import com.google.common.collect.Ordering;
import com.google.common.collect.Sets;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.testing.SerializableTester;
import java.util.Arrays;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.collect.ImmutableSortedMap;
import com.google.common.collect.Lists;
import com.google.common.collect.Ordering;
import com.google.common.collect.Sets;
import com.google.common.collect.testing.features.CollectionFeature;
import com.google.common.collect.testing.features.CollectionSize;
import com.google.common.testing.SerializableTester;
import java.util.Arrays;

  @CheckForNull private ThreadFactory backingThreadFactory = null;

  /** Creates a new {@link ThreadFactory} builder. */
  public ThreadFactoryBuilder() {}

  /**
   * Sets the naming format to use when naming threads ({@link Thread#setName}) which are created
   * with this ThreadFactory.
   *
   * @param nameFormat a {@link String#format(String, Object...)}-compatible format String, to which

        Helpers.mapEntry(k0(), v0()), Helpers.mapEntry(k1(), v0()), Helpers.mapEntry(k0(), v3()));
    Set<Entry<K, Collection<V>>> expected = Sets.newHashSet();
    expected.add(Helpers.mapEntry(k0(), (Collection<V>) Sets.newHashSet(v0(), v3())));
    expected.add(Helpers.mapEntry(k1(), (Collection<V>) Sets.newHashSet(v0())));
    new EqualsTester().addEqualityGroup(expected, multimap().asMap().entrySet()).testEquals();
  }