}

    @Test
    @DisplayName("Should handle whitespace delimiter")
    void testJoinWithWhitespaceDelimiter() {
        String result = StringUtil.join("   ", "spaced", "out");
        assertEquals("spaced   out", result);
    }

    @Test
    @DisplayName("Should handle elements containing delimiter")
    void testJoinElementsContainingDelimiter() {

    /**
     * Happy-path: a filter that accepts any name.
     */
    @ParameterizedTest
    @DisplayName("accepts any non-null/any string")
    @ValueSource(strings = { "file.txt", "data.DAT", "a", "x.y.z", "  spaced  " })
    void acceptsAnyNameReturnsTrue(String input) throws Exception {
        SmbFilenameFilter filter = (dir, name) -> true;

        boolean result = filter.accept(mockDir, input);

        bb.put("\\\\server\\\\share".getBytes(StandardCharsets.UTF_16LE));
        bb.putShort((short) 0);

        bb.position(60); // Properly spaced
        bb.put("\\\\alt\\\\path".getBytes(StandardCharsets.UTF_16LE));
        bb.putShort((short) 0);

        bb.position(90); // Properly spaced
        bb.put("NODE01".getBytes(StandardCharsets.UTF_16LE));
        bb.putShort((short) 0);

        // Test that non-space characters in padding are preserved in length calculation
        byte[] src = new byte[100];
        src[0] = 0x20;

        // Encode "AB" followed by non-space padding
        src[1] = 'E';
        src[2] = 'B'; // A
        src[3] = 'E';
        src[4] = 'C'; // B

        // Use 'X' (0x58) instead of space for padding
        for (int i = 5; i < 31; i += 2) {

your clusters as needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed in server pools in proportion to the amount of free space in each pool. Within each pool, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm.

> **NOTE:** **Each pool you add must have the same erasure coding parity configuration...

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.

> In a cloud-native environment, scalability is not a function of the application but the orchestration platform.

        // Test normal string without control characters
        assertEquals("test", InputValidator.sanitizeForLogging("test"));

        // Test removal of control characters (they are removed, not replaced with spaces)
        assertEquals("teststring", InputValidator.sanitizeForLogging("test\0string"));
        assertEquals("teststring", InputValidator.sanitizeForLogging("test\nstring"));

            }

            // Check for trailing spaces or periods (Windows doesn't handle well)
            if (component.endsWith(" ") || component.endsWith(".")) {
                throw new SmbException("Path component has trailing space or period: " + component);
            }
        }
    }

    /**
     * Validate host name
     */

        assertTrue(result.startsWith("Allow "));
        // Hexdump.toHexString produces uppercase hex
        assertTrue(result.toLowerCase().contains("0x001200a9"));
        // ACE.toString() outputs "Direct    " with 4 spaces
        assertTrue(result.contains("Direct"));
        assertTrue(result.contains("This folder only"));
    }

    @Test
    @DisplayName("Test toString format for deny ACE")

        netdfs.DfsInfo1 info1 = new netdfs.DfsInfo1();
        info1.entry_path = "test_path";

        ByteArrayOutputStream bos = new ByteArrayOutputStream();
        // Create buffer for encoding - initially allocate some space
        byte[] encodeBuffer = new byte[1024];
        NdrBuffer dst = new NdrBuffer(encodeBuffer, 0);
        info1.encode(dst);

        ByteArrayInputStream bis = new ByteArrayInputStream(bos.toByteArray());