return;
                        }
                    }
                    results[index] = true; // Mark as successful
                });
                threads[i].start();
            }

            // Wait for all threads to complete
            for (Thread thread : threads) {
                thread.join();
            }
        }

        // Then

            final int index = i;
            threads[i] = new Thread(() -> {
                results[index] = transPeekNamedPipe.toString();
            });
            threads[i].start();
        }

        for (Thread thread : threads) {
            thread.join();
        }

        // Assert
        for (String result : results) {
            assertNotNull(result);

        when(mockInfo.encode(any(byte[].class), anyInt())).thenReturn(20);
        when(mockInfo.size()).thenReturn(20);
        request.setInfo(mockInfo);

        // Set up header start for offset calculation
        try {
            Method getHeaderStartMethod = ServerMessageBlock2.class.getDeclaredMethod("getHeaderStart");
            getHeaderStartMethod.setAccessible(true);

        int offset = 16;
        int length = 32;

        Hexdump.hexdump(ps, data, offset, length);
        String output = baos.toString();

        assertNotNull(output);
        // Should start at offset 0 in display but show data from offset 16
        assertTrue(output.contains("00000:"));
        // First byte should be 0x10 (16 in decimal)
        assertTrue(output.contains(" 10 11 12"));
    }

#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the
#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:

                        "-s", "testuser2 private share;/testuser2;no;no;no;testuser2", //
                        "-g", "log level = 3");
        logger.info("Starting Samba container with image {}", IMAGE_NAME);
        sambaServer.start();
        logger.info("Samba container started");

        String host = sambaServer.getContainerIpAddress();
        Integer port = sambaServer.getMappedPort(445);
        baseUrl = "smb://" + host + ":" + port + "/users/";

        String headerValue = headerCaptor.getValue();
        assertNotNull(headerValue, "WWW-Authenticate header should be set");
        assertEquals("NTLM ", headerValue.substring(0, 5), "Header should start with 'NTLM '");

        // Decode the returned Type 2 message and check its signature and type
        byte[] type2Bytes = Base64.getDecoder().decode(headerValue.substring(5));
        assertEquals('N', (char) type2Bytes[0]);

	//    single part object) and total decrypted object size `decObjSize`
	//
	// 2. the (decrypted) start offset `off` and (decrypted)
	//    length to read `length`
	//
	// These are the inputs to the rest of the algorithm below.

	// Locate the part containing the start of the required range
	var partEnd int
	var cumulativeSum, encCumulativeSum int64
	for i, size := range sizes {

        public Appendable append(@Nullable CharSequence csq) throws IOException {
          throw new IOException();
        }

        @Override
        public Appendable append(@Nullable CharSequence csq, int start, int end)
            throws IOException {
          throw new IOException();
        }

        @Override
        public Appendable append(char c) throws IOException {
          throw new IOException();

    @DisplayName("Test decode with offset")
    void testDecodeWithOffset() throws SMBProtocolDecodingException {
        // Prepare test data with offset
        byte[] buffer = new byte[30];
        int bufferIndex = 5; // Start at offset 5
        int idFileSystem = 0xFFFFFFFF;
        int sectPerAlloc = 16;
        long alloc = 2000000L;
        long free = 1500000L;
        int bytesPerSect = 1024;

        // Encode test data at offset