if (high < low) {
            break; // Pointers crossed. Partitioning complete.
          }
          swap(array, low, high); // End of innermost loop.
        }
        array[from + 1] = array[high]; // Insert partitioning element.
        array[high] = partition;

        // Continue the partition that contains the kth element.
        if (high >= k) {
          to = high - 1;
        }
        if (high <= k) {

        }

        @Test
        @DisplayName("Should inherit ServerMessageBlock2Response properties")
        void testInheritedProperties() {
            // Verify that the response inherits from ServerMessageBlock2Response
            assertTrue(response instanceof jcifs.internal.smb2.ServerMessageBlock2Response);

            // Test some inherited methods
            assertFalse(response.isReceived());

 * provided {@code standardOffer} method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code
 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingBlockingDeque}.
 *

 * provided {@code standardAddAll} method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code
 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingSet}.
 *
 * <p>The {@code standard} methods are not guaranteed to be thread-safe, even when all of the

        @Test
        @DisplayName("should inherit behavior from AbstractUpgradeGoal")
        void shouldInheritBehaviorFromAbstractUpgradeGoal() {
            // This test verifies that Check inherits the model version logic from AbstractUpgradeGoal
            // The actual logic is tested in AbstractUpgradeGoalTest
            // Here we just verify that Check is properly configured as a subclass

  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert({i, absl::StrCat("localhost:", port)});
    LOG(INFO) << "Picked test port: " << port << " for job: " << job_name
              << ", task: " << i;
  }
  return server_def;
}

 * method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code
 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingSortedMultiset}.
 *

    return set;
  }

  /**
   * Asserts that {@code code} has a {@link SetView#minSize()} of {@code min} and a {@link
   * Set#size()} of at least {@code min}.
   */
  private static void assertMinSize(SetView<?> set, int min) {
    assertThat(set.minSize()).isEqualTo(min);
    assertThat(set.size()).isAtLeast(min);
  }

  /**

 * provided {@code standardOffer} method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code
 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingQueue}.
 *
 * <p>The {@code standard} methods are not guaranteed to be thread-safe, even when all of the

 * provided {@code standardAddAll} method.
 *
 * <p><b>{@code default} method warning:</b> This class does <i>not</i> forward calls to {@code
 * default} methods. Instead, it inherits their default implementations. When those implementations
 * invoke methods, they invoke methods on the {@code ForwardingList}.
 *
 * <p>The {@code standard} methods and any collection views they return are not guaranteed to be