system's random number generator. package drbg import ( entropy "crypto/internal/entropy/v1.0.0" "crypto/internal/fips140" "crypto/internal/sysrand" "io" "sync" "sync/atomic" ) // memory is a scratch buffer that is accessed between samples by the entropy // source to expose it to memory access timings. // // We reuse it and share it between Seed calls to avoid the significant (~500µs) // cost of zeroing a new allocation every time. The entropy source accesses it // using atomics (and doesn't care about...

        `tf.initializers = tf.keras.initializers` & `tf.optimizers =
        tf.keras.optimizers`.
    *   Updates binary cross entropy logic in Keras when input is probabilities.
        Instead of converting probabilities to logits, we are using the cross
        entropy formula for probabilities.
    *   Added public APIs for `cumsum` and `cumprod` keras backend functions.

  public void testToString() {
    assertThat(entry("foo", 1).toString()).isEqualTo("foo=1");
  }

  public void testToStringNull() {
    assertThat(entry(NK, 1).toString()).isEqualTo("null=1");
    assertThat(entry("foo", NV).toString()).isEqualTo("foo=null");
    assertThat(entry(NK, NV).toString()).isEqualTo("null=null");
  }

  public void testEquals() {
    Entry<String, Integer> foo1 = entry("foo", 1);

          builder.add(mapEntry(entry.getKey(), v));
        }
        map.put(entry.getKey(), entry.getValue());
      }
      Iterable<Entry<K, V>> ordered = multimapGenerator.order(builder);
      LinkedHashMap<K, Collection<V>> orderedMap = new LinkedHashMap<>();
      for (Entry<K, V> entry : ordered) {
        orderedMap.put(entry.getKey(), map.get(entry.getKey()));
      }

    Iterator<Entry<String, Collection<Integer>>> iterator = multimap.asMap().entrySet().iterator();
    Entry<String, Collection<Integer>> entry = iterator.next();
    assertThat(entry.getKey()).isEqualTo("foo");
    assertThat(entry.getValue()).containsExactly(1, 3, 7);
    entry = iterator.next();
    assertThat(entry.getKey()).isEqualTo("google");
    assertThat(entry.getValue()).containsExactly(2, 6);

    return map().size();
  }

  @Override
  public boolean contains(@Nullable Object object) {
    if (object instanceof Entry) {
      Entry<?, ?> entry = (Entry<?, ?>) object;
      V value = map().get(entry.getKey());
      return value != null && value.equals(entry.getValue());
    }
    return false;
  }

  @Override
  boolean isPartialView() {
    return map().isPartialView();
  }

    int index = 0;
    int hashCode = 0;
    long size = 0;
    for (Entry<? extends E> entryWithWildcard : entries) {
      @SuppressWarnings("unchecked") // safe because we only read from it
      Entry<E> entry = (Entry<E>) entryWithWildcard;
      E element = checkNotNull(entry.getElement());
      int count = entry.getCount();
      int hash = element.hashCode();
      int bucket = Hashing.smear(hash) & mask;

  void setAccessTime(long time);

  /** Returns the next entry in the access queue. */
  ReferenceEntry<K, V> getNextInAccessQueue();

  /** Sets the next entry in the access queue. */
  void setNextInAccessQueue(ReferenceEntry<K, V> next);

  /** Returns the previous entry in the access queue. */
  ReferenceEntry<K, V> getPreviousInAccessQueue();

  /** Sets the previous entry in the access queue. */

      for (Entry<AnEnum, String> entry : entries) {
        map.put(entry.getKey(), entry.getValue());
      }
      return ImmutableMap.copyOf(map);
    }

    @Override
    public Iterable<Entry<AnEnum, String>> order(List<Entry<AnEnum, String>> insertionOrder) {
      return new Ordering<Entry<AnEnum, String>>() {

        @Override
        public int compare(Entry<AnEnum, String> left, Entry<AnEnum, String> right) {

   */
  private static <B extends @Nullable Object> Entry<Class<? extends @NonNull B>, B> checkedEntry(
      Entry<Class<? extends @NonNull B>, B> entry) {
    return new ForwardingMapEntry<Class<? extends @NonNull B>, B>() {
      @Override
      protected Entry<Class<? extends @NonNull B>, B> delegate() {
        return entry;
      }

      @Override