}

  override fun equals(other: Any?): Boolean {
    return other is Cookie &&
      other.name == name &&
      other.value == value &&
      other.expiresAt == expiresAt &&
      other.domain == domain &&
      other.path == path &&
      other.secure == secure &&
      other.httpOnly == httpOnly &&
      other.persistent == persistent &&
      other.hostOnly == hostOnly &&

// NOTE(allenl): These tests currently go through TFE_Execute and so are
// integration testing rather than purely testing the parallel device. They
// correspond fairly well to the implementation, but testing the C++ directly is
// another option.

namespace tensorflow {
namespace parallel_device {

using ::testing::HasSubstr;

TEST(PARALLEL_DEVICE, TestBasicCPU) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(

  // Last time the condition was checked.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastProbeTime = 3;

  // Last time the condition transit from one status to another.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 4;

  // (brief) reason for the condition's last transition.
  // +optional
  optional string reason = 5;

                            // this is an escaped separator or white space
                            key.append(c);
                        } else {
                            // another escaped character, the '\' is preserved
                            key.append('\\');
                            key.append(c);
                        }

                        // return to the key parsing state

/**
 * A collection that supports order-independent equality, like {@link Set}, but may have duplicate
 * elements. A multiset is also sometimes called a <i>bag</i>.
 *
 * <p>Elements of a multiset that are equal to one another are referred to as <i>occurrences</i> of
 * the same single element. The total number of occurrences of an element in a multiset is called
 * the <i>count</i> of that element (the terms "frequency" and "multiplicity" are equivalent, but

 * void submitTasks(List<Runnable> tasks, Executor executor) {
 *   for (Runnable task : tasks) {
 *     rateLimiter.acquire(); // may wait
 *     executor.execute(task);
 *   }
 * }
 * }</pre>
 *
 * <p>As another example, imagine that we produce a stream of data, and we want to cap it at 5kb per
 * second. This could be accomplished by requiring a permit per byte, and specifying a rate of 5000
 * permits per second:
 *
 * <pre>{@code

 * then Lock B, while another thread acquires Lock B, and then Lock A:
 *
 * <pre>
 * Thread1: acquire(LockA) --X acquire(LockB)
 * Thread2: acquire(LockB) --X acquire(LockA)
 * </pre>
 *
 * <p>Neither thread will progress because each is waiting for the other. In more complex
 * applications, cycles can arise from interactions among more than 2 locks:
 *

     * wordCount member DOES store the number of words)) we
     * actually read. Incedentally this is important to the
     * AndXServerMessageBlock class that needs to potentially
     * read in another smb's parameter words and bytes based on
     * information in it's andxCommand, andxOffset, ...etc.
     */

    protected abstract int writeParameterWordsWireFormat ( byte[] dst, int dstIndex );

	gob.Register(madmin.XFSErrorConfigs{})
	gob.Register(map[string]string{})
	gob.Register(map[string]interface{}{})

	// All minio-go and madmin-go API operations shall be performed only once,
	// another way to look at this is we are turning off retries.
	minio.MaxRetry = 1
	madmin.MaxRetry = 1

	currentReleaseTime, _ = GetCurrentReleaseTime()
}

const consolePrefix = "CONSOLE_"

      taskFaker.sleep(100.µs)
      log += "blue:finishing@${taskFaker.nanoTime}"
    }
    assertThat(taskFaker.executeCallCount).isEqualTo(1)

    // Running the red task starts another thread, so the two can run in parallel.
    taskFaker.runNextTask()
    assertThat(log).containsExactly("red:starting@0")
    assertThat(taskFaker.executeCallCount).isEqualTo(2)

    // Next the blue task starts.