}

        @Test
        @DisplayName("Should decode buffer correctly")
        void testDecode() throws SMBProtocolDecodingException {
            // Prepare test buffer with sample data
            byte[] buffer = new byte[24];
            // Skip idFileSystem (4 bytes)
            buffer[4] = 0x08; // sectPerAlloc = 8
            buffer[8] = 0x00;
            buffer[9] = 0x10; // alloc = 4096

)

type TestItem struct {
	Name     string `json:"Name"`
	Property string `json:"property"`
}

var (
	// TestDir
	queueDir = filepath.Join(os.TempDir(), "minio_test")
	// Sample test item.
	testItem = TestItem{Name: "test-item", Property: "property"}
	// Ext for test item
	testItemExt = ".test"
)

// Initialize the queue store.

}

func testGetBucketLocationHandler(obj ObjectLayer, instanceType, bucketName string, apiRouter http.Handler,
	credentials auth.Credentials, t *testing.T,
) {
	// test cases with sample input and expected output.
	testCases := []struct {
		bucketName string
		accessKey  string
		secretKey  string
		// expected Response.
		expectedRespStatus int
		locationResponse   []byte

 *       at this goal. Important note: it may be easy to achieve the theoretical minimum collision
 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden
 *       patterns and clumps. The goal of a good hash function is to stamp these patterns out as

   * @throws IllegalStateException if the dataset is empty
   */
  public double populationCovariance() {
    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *

    public static final NullsBeforeTwo INSTANCE = new NullsBeforeTwo();

    private NullsBeforeTwo() {
      super("two"); // from TestStringSortedMapGenerator's sample keys
    }
  }

  @J2ktIncompatible
  @GwtIncompatible // reflection
  public static Method getMethod(Class<?> clazz, String name) {
    try {
      return clazz.getMethod(name);

		parities []int
		parity   int
	}{
		// More than simple majority consensus
		mkTest(15, 3, 11),
		// No simple majority consensus
		mkTest(15, 3, 7),
		// Exact simple majority consensus
		mkTest(15, 3, 8),
		// More than simple majority consensus
		mkTest(16, 4, 11),
		// No simple majority consensus
		mkTest(16, 4, 8),
		// Exact simple majority consensus
		mkTest(16, 4, 9),

func getXLMetaBytes(totalParts int) []byte {
	xlSampleMeta := getSampleXLMeta(totalParts)
	xlMetaBytes, err := json.Marshal(xlSampleMeta)
	if err != nil {
		panic(err)
	}
	return xlMetaBytes
}

// Returns sample xlMetaV1Object{} for number of parts.
func getSampleXLMeta(totalParts int) xlMetaV1Object {
	xlMeta := newTestXLMetaV1()
	// Number of checksum info == total parts.
	xlMeta.Erasure.Checksums = make([]ChecksumInfo, totalParts)

      this.entryComparator = entryComparator(emptyMap.comparator());

      // derive values for inclusive filtering from the input samples
      SampleElements<Entry<K, V>> samples = delegate.samples();
      List<Entry<K, V>> samplesList =
          asList(samples.e0(), samples.e1(), samples.e2(), samples.e3(), samples.e4());
      sort(samplesList, entryComparator);
      this.firstInclusive = samplesList.get(0).getKey();

Following is a sample directory structure for MinIO server with TLS certificates.

```sh
$ mc tree --files ~/.minio
/home/user1/.minio
└─ certs
   ├─ CAs
   ├─ private.key
   └─ public.crt
```