SuggestResponse response = deferred.promise().getResponse();
        assertNotNull(response);
    }

    // ============================================================
    // Edge case tests for multiple callbacks
    // ============================================================

    @Test
    public void test_multipleCallbacks_allInvoked() throws Exception {

import java.io.IOException;
import java.io.InputStream;
import java.util.Iterator;
import org.jspecify.annotations.Nullable;

/**
 * An {@link InputStream} that concatenates multiple substreams. At most one stream will be open at
 * a time.
 *
 * @author Chris Nokleberg
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible
final class MultiInputStream extends InputStream {

PersistentVolumeClaim.
  * Run multiple schedulers in parallel, e.g. one or more custom schedulers
alongside the default Kubernetes scheduler, using pod annotations to select
among the schedulers for each pod. Documentation is [here](http://kubernetes.io/docs/admin/multiple-schedulers.md), design doc is [here](docs/proposals/multiple-schedulers.md).

 * the HTTP message.
 *
 * This class tracks header values line-by-line. A field with multiple comma- separated values on
 * the same line will be treated as a field with a single value by this class. It is the caller's
 * responsibility to detect and split on commas if their field permits multiple values. This
 * simplifies use of single-valued fields whose values routinely contain commas, such as cookies or
 * dates.
 *

   * across calls to multiple listeners. Specifically, a given listener will have its callbacks
   * invoked in the same order as the underlying service enters those states. Additionally, at most
   * one of the listener's callbacks will execute at once. However, multiple listeners' callbacks

recommendation is not to serve models using Eager mode since it also has
performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the

}

func TestManyToManyWithMultiPrimaryKeys(t *testing.T) {
	if name := DB.Dialector.Name(); name == "sqlite" || name == "sqlserver" {
		t.Skip("skip sqlite, sqlserver due to it doesn't support multiple primary keys with auto increment")
	}

	if name := DB.Dialector.Name(); name == "postgres" || name == "mysql" || name == "gaussdb" {
		stmt := gorm.Statement{DB: DB}
		stmt.Parse(&Blog{})

   * e]}.
   */
  @Override
  String toString();

  // Refined Collection Methods

  /**
   * {@inheritDoc}
   *
   * <p>Elements that occur multiple times in the multiset will appear multiple times in this
   * iterator, though not necessarily sequentially.
   */
  @Override
  Iterator<E> iterator();

  /**
   * Determines whether this multiset contains the specified element.

   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *
   * @throws ArithmeticException if {@code mode} is {@link RoundingMode#UNNECESSARY} and {@code x}
   *     is not precisely representable as a {@code double}
   * @since 30.0
   */

    }

    @Test
    void testHelpLogsMessages() throws Exception {
        UpgradeContext context = createMockContext();

        help.execute(context);

        // Verify that logger.info was called multiple times
        // We can't easily verify the exact content without capturing the logger output,
        // but we can verify that the method executes without errors