@Mock
    private NdrBuffer mockDeferredBuffer;

    @BeforeEach
    void setUp() {
        MockitoAnnotations.openMocks(this);
        // Set the deferred field directly since it's a public field, not a method
        mockNdrBuffer.deferred = mockDeferredBuffer;
        lenient().when(mockNdrBuffer.derive(anyInt())).thenReturn(mockDeferredBuffer);

            if (root_directory != null) {
                _dst = _dst.deferred;
                root_directory.encode(_dst);

            }
            if (object_name != null) {
                _dst = _dst.deferred;
                object_name.encode(_dst);

            }
            if (security_quality_of_service != null) {
                _dst = _dst.deferred;
                security_quality_of_service.encode(_dst);

            // Create a real NdrBuffer mock that can handle the deferred field access
            // But only test the non-deferred parts to avoid field mocking issues

            // When: Trying to encode (may throw exception due to deferred buffer)
            // Then: Should at least call the basic encoding methods before hitting deferred
            assertThrows(Exception.class, () -> {

        final NdrBuffer nb = new NdrBuffer(this.buf, this.start);
        nb.index = idx;
        nb.deferred = this.deferred;
        return nb;
    }

    /**
     * Resets the buffer position to the start.
     */
    public void reset() {
        this.index = this.start;
        this.length = 0;
        this.deferred = this;
    }

    /**
     * Returns the current index position in the buffer.
     *

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.request;

import org.codelibs.fess.suggest.concurrent.Deferred;
import org.opensearch.transport.client.Client;

/**
 * An abstract class that serves as a builder for creating and executing requests.
 *
 * @param <Req> the type of the request

                    deferred.reject(new SuggesterException("Search failure. Failed shards num:" + searchResponse.getFailedShards()));
                } else {
                    deferred.resolve(createResponse(searchResponse));
                }
            }

            @Override
            public void onFailure(final Exception e) {
                deferred.reject(new SuggesterException(e.getMessage(), e));

   * Returns the tag attached with [type] as a key. If it is absent, then [computeIfAbsent] is
   * called and that value is both inserted and returned.
   *
   * If multiple calls to this function are made concurrently with the same [type], multiple values
   * may be computed. But only one value will be inserted, and that inserted value will be returned
   * to all callers.
   *

    promoted the non-batch version of the ops to handle batches of matrices.
*   Tracing/timeline support for distributed runtime (no GPU profiler yet).
*   C API gives access to inferred shapes with `TF_GraphGetTensorNumDims` and
    `TF_GraphGetTensorShape`.
*   Shape functions for core ops have moved to C++ via
    `REGISTER_OP(...).SetShapeFn(...)`. Python shape inference RegisterShape

        assertEquals(0, derivedBuffer.start); // Derived buffer starts from the original buffer's start
        assertEquals(10, derivedBuffer.index);
        assertSame(ndrBuffer.deferred, derivedBuffer.deferred); // Deferred should be the same as original

        // Ensure changes to derived buffer don't affect original's index/start
        derivedBuffer.advance(5);
        assertEquals(15, derivedBuffer.index);

    @Mock
    private rpc.unicode_string mockUnicodeString;

    @Mock
    private lsarpc.LsarSidArray mockLsarSidArray;

    @BeforeEach
    void setUp() {
        // Directly set the deferred field on the mock
        mockNdrBuffer.deferred = mockDeferredBuffer;

        // Configure mocks for NdrBuffer interactions
        lenient().when(mockDeferredBuffer.derive(anyInt())).thenReturn(mockDeferredBuffer);