// from a placeholder node "arg_tensor_enqueue_<tensor_id>".
//
// `tensor` is still owned by the caller. This call will be blocked if the queue
// has reached its capacity, and will be unblocked when the queued tensors again
// drop below the capacity due to dequeuing.
//
// Tensors are dequeued via the corresponding TF dequeue op.
// TODO(hongm): Add support for `timeout_ms`.

 *
 * <ul>
 *   <li>invoking the {@code finalize} methods of unreachable objects
 *   <li>clearing weak references to unreachable referents
 *   <li>enqueuing weak references to unreachable referents in their reference queue
 * </ul>
 *
 * <p>This class uses (possibly repeated) invocations of {@link java.lang.System#gc()} to cause
 * finalization to happen. However, a call to {@code System.gc()} is specified to be no more than a

   * garbage-collected after that.
   */

  public static class MyFinalizableWeakReference extends FinalizableWeakReference<Object> {
    public MyFinalizableWeakReference(Object x, FinalizableReferenceQueue queue) {
      super(x, queue);
    }

    @Override
    public void finalizeReferent() {}
  }

  private static class PermissivePolicy extends Policy {
    @Override

import java.util.List;
import java.util.ListIterator;
import java.util.Locale;
import java.util.Map;
import java.util.NavigableMap;
import java.util.NavigableSet;
import java.util.PriorityQueue;
import java.util.Queue;
import java.util.Random;
import java.util.Set;
import java.util.SortedMap;
import java.util.SortedSet;
import java.util.TreeMap;
import java.util.TreeSet;
import java.util.UUID;

      "FINE: Q10000 finished run in   0 µs: task one",
    )
  }

  /**
   * The runner doesn't hold references to its queues! Otherwise we'd need a mechanism to clean them
   * up when they're no longer needed and that's annoying. Instead the task runner only tracks which
   * queues have work scheduled.
   */
  @Test fun activeQueuesContainsOnlyQueuesWithScheduledTasks() {
    redQueue.execute("task one", 100.µs) {

    abstract E getImpl();

    @Override
    public E get() {
      count++;
      return getImpl();
    }
  }

  private static class QueueSupplier extends CountingSupplier<Queue<Integer>> {
    @Override
    public Queue<Integer> getImpl() {
      return new LinkedList<>();
    }

    private static final long serialVersionUID = 0;
  }

/pkg/kube/                                                       @istio/wg-networking-maintainers
/pkg/mcp/                                                        @istio/wg-networking-maintainers
/pkg/queue/                                                      @istio/wg-networking-maintainers
/pkg/security/                                                   @istio/wg-security-maintainers @istio/wg-environments-maintainers

assertEquals("application/json; charset=utf-8", request.getHeader("Content-Type"));
assertEquals("{}", request.getBody().readUtf8());
```

#### Dispatcher

By default MockWebServer uses a queue to specify a series of responses. Use a
Dispatcher (`import okhttp3.mockwebserver.Dispatcher`) to handle requests using another policy. One natural policy is to
dispatch on the request path.

import static java.util.Collections.unmodifiableSet;

import com.google.common.base.Equivalence;
import java.util.Collection;
import java.util.HashSet;
import java.util.LinkedHashSet;
import java.util.Map;
import java.util.Queue;
import java.util.Random;
import java.util.Set;
import java.util.SortedMap;
import java.util.TreeSet;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;

    object : Task("$okHttpName ConnectionPool connection closer") {
      override fun runOnce(): Long = closeConnections(System.nanoTime())
    }

  private fun AddressState.scheduleOpener() {
    queue.schedule(
      object : Task("$okHttpName ConnectionPool connection opener") {
        override fun runOnce(): Long = openConnections(this@scheduleOpener)
      },
    )
  }

  /**