generator.setCommandTimeout(0L);
        assertTrue(true);

        // Test negative timeout
        generator.setCommandTimeout(-1L);
        assertTrue(true);

        // Test very large timeout
        generator.setCommandTimeout(Long.MAX_VALUE);
        assertTrue(true);

        // Test destroy timeout
        generator.setCommandDestroyTimeout(0L);
        assertTrue(true);

  }

  /**
   * Read 100 MiB of 'a' chars. This was really slow due to a performance bug in [MultipartReader],
   * and will be really slow if we regress the fix for that.
   */
  @Test
  fun `reading a large part with small byteCount`() {
    val multipartBody =
      MultipartBody
        .Builder("foo")
        .addPart(
          headersOf("header-name", "header-value"),
          object : RequestBody() {

                assertEquals(expectedSize, actualEncoded, "Size and encode methods return different values for " + numChunks + " chunks");
            }
        }

        @Test
        @DisplayName("Should handle large number of chunks")
        void testLargeNumberOfChunks() {
            // Given
            byte[] sourceKey = new byte[SOURCE_KEY_SIZE];
            int chunkCount = 50;

        try {
            // Test with extreme status codes
            WebApiUtil.setError(-1, "Negative status code");
            WebApiUtil.setError(0, "Zero status code");
            WebApiUtil.setError(999, "Large status code");

            // Test with very long message
            StringBuilder longMessage = new StringBuilder();
            for (int i = 0; i < 1000; i++) {

            int bytesEncoded = buffer.encode(dst, 0);

            assertEquals(requiredSize, bytesEncoded);
        }

        @Test
        @DisplayName("Should handle large buffer with offset")
        void testLargeBufferWithOffset() {
            String path = "\\\\server\\share";
            buffer = new DfsReferralRequestBuffer(path, 3);

            int offset = 1000;

    var finished: Boolean = false,
  ) : Sink {
    /**
     * Buffer of outgoing data. This batches writes of small writes into this sink as larges frames
     * written to the outgoing connection. Batching saves the (small) framing overhead.
     */
    private val sendBuffer = Buffer()

    /** Trailers to send at the end of the stream. */

                        java.lang.reflect.Modifier.isStatic(method.getModifiers()));
            }
        }
    }

    public void test_parse_large_input() {
        // Test with large input to ensure performance
        StringBuilder sb = new StringBuilder();
        for (int i = 0; i < 1000; i++) {
            if (i > 0)
                sb.append(",");

 * <ul>
 *   <li>Automatic initialization of MinIO client</li>
 *   <li>Support for HEAD and GET operations</li>
 *   <li>Content length validation</li>
 *   <li>MIME type detection</li>
 *   <li>Handling of large files through temporary file storage</li>
 *   <li>Object metadata and tags retrieval</li>
 *   <li>Directory listing capabilities</li>
 * </ul>
 *

   * servers, it should be the agreed-upon extensions immediately.
   */
  private var extensions: WebSocketExtensions?,
  /** If compression is negotiated, outbound messages of this size and larger will be compressed. */
  private var minimumDeflateSize: Long,
  private val webSocketCloseTimeout: Long,
) : WebSocket,
  WebSocketReader.FrameCallback,
  Lockable {
  private val key: String

        return getDocumentListByQuery(searchEngineClient, queryBuilder, fields);
    }

    /**
     * Retrieves a list of documents that match the specified query.
     * This method handles large result sets by using scroll search when necessary
     * and enforces maximum document size limits.
     *
     * @param searchEngineClient the search engine client to use for retrieval