assertThat(manyValuesAccumulatorByAddAllStats.min()).isEqualTo(MANY_VALUES_MIN);
    assertThat(manyValuesAccumulatorByAddAllStatsAccumulator.min()).isEqualTo(MANY_VALUES_MIN);
    // For datasets of many double values created by adding elements individually, we test many
    // combinations of finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();

   * {@code Math.addExact(a, b)} will call the {@link Math#addExact(int, int)} overload, not {@link
   * Math#addExact(long, long)}. Also note that adding two {@code int} values can <b>never</b>
   * overflow a {@code long}, so you can just write {@code (long) a + b}.
   *
   * @throws ArithmeticException if {@code a + b} overflows in signed {@code long} arithmetic
   */

	* Mechanism of adding `federation domain maps` to kube-dns deployment via `--federations` flag is superseded by adding/updating `federations` key in `kube-system/kube-dns` configmap. If user is using kubefed tool to join cluster federation, adding federation domain maps to kube-dns is already taken care by `kubefed join` and does not need further action.

import java.util.Spliterator;
import java.util.Spliterators;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * CompactHashSet is an implementation of a Set. All optional operations (adding and removing) are
 * supported. The elements can be any objects.
 *
 * <p>{@code contains(x)}, {@code add(x)} and {@code remove(x)}, are all (expected and amortized)

        behavior.
    *   Adding `clear_losses` API to be able to clear losses at the end of
        forward pass in a custom training loop in eager.
    *   Add support for passing list of lists to the `metrics` param in Keras
        `compile`.
    *   Added top-k to precision and recall to keras metrics.
    *   Adding public APIs for `cumsum` and `cumprod` keras backend functions.

    for (Service service : copy) {
      service.addListener(new ServiceListener(service, stateReference), directExecutor());
      // We check the state after adding the listener as a way to ensure that our listener was added
      // to a NEW service.
      checkArgument(service.state() == NEW, "Can only manage NEW services, %s", service);
    }

    for (Service service : copy) {
      service.addListener(new ServiceListener(service, stateReference), directExecutor());
      // We check the state after adding the listener as a way to ensure that our listener was added
      // to a NEW service.
      checkArgument(service.state() == NEW, "Can only manage NEW services, %s", service);
    }

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## Watch the GitHub repository for releases { #watch-the-github-repository-for-releases }

 * }
 *
 * <p>{@link NetworkBuilder#build()} returns an instance of {@link MutableNetwork}, which is a
 * subtype of {@code Network} that provides methods for adding and removing nodes and edges. If you
 * do not need to mutate a network (e.g. if you write a method than runs a read-only algorithm on
 * the network), you should use the non-mutating {@link Network} interface, or an {@link

 * }
 *
 * <h3>Alternatives</h3>
 *
 * <h4>Frameworks</h4>
 *
 * <p>When chaining together a graph of asynchronous operations, you will often find it easier to
 * use a framework. Frameworks automate the process, often adding features like monitoring,
 * debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *