/**
     * Time encoding type: 1970 epoch, 32-bit seconds, big-endian.
     */
    public static final int TIME_1970_SEC_32BE = 1;

    /**
     * Time encoding type: 1970 epoch, 32-bit seconds, little-endian.
     */
    public static final int TIME_1970_SEC_32LE = 2;

    /**
     * Time encoding type: 1904 epoch, 32-bit seconds, big-endian.
     */

  override fun cancel() {
    canceled = true
    call?.cancel()
  }

  override fun onEvent(
    id: String?,
    type: String?,
    data: String,
  ) {
    listener.onEvent(this, id, type, data)
  }

  override fun onRetryChange(timeMs: Long) {
    // Ignored. We do not auto-retry.
  }

        headers = Headers.headersOf("content-type", "application/json"),
      ),
    )
    server.enqueue(
      MockResponse(
        body =
          """
          |data: hey
          |
          |
          """.trimMargin(),
        headers = Headers.headersOf("content-type", "text/event-stream"),
      ),
    )

  val commonName: Any?
    get() {
      return tbsCertificate.subject
        .flatten()
        .firstOrNull { it.type == ObjectIdentifiers.COMMON_NAME }
        ?.value
    }

  val organizationalUnitName: Any?
    get() {
      return tbsCertificate.subject
        .flatten()
        .firstOrNull { it.type == ObjectIdentifiers.ORGANIZATIONAL_UNIT_NAME }
        ?.value
    }

  val subjectAlternativeNames: Extension?

 * guarantees (see {@link ImmutableCollection} for details). Implementations are available for both
 * the JDK collection types and the Guava collection types (listed below).
 *
 * <h2>Collection types</h2>
 *
 * <dl>
 *   <dt>{@link Multimap}
 *   <dd>A new type, which is similar to {@link java.util.Map}, but may contain multiple entries

 * guarantees (see {@link ImmutableCollection} for details). Implementations are available for both
 * the JDK collection types and the Guava collection types (listed below).
 *
 * <h2>Collection types</h2>
 *
 * <dl>
 *   <dt>{@link Multimap}
 *   <dd>A new type, which is similar to {@link java.util.Map}, but may contain multiple entries

// StatInfo - carries stat information of the object.
type StatInfo struct {
	Size    int64     `json:"size"`    // Size of the object `xl.meta`.
	ModTime time.Time `json:"modTime"` // ModTime of the object `xl.meta`.
	Name    string    `json:"name"`
	Dir     bool      `json:"dir"`
	Mode    uint32    `json:"mode"`
}

// ErasureInfo holds erasure coding and bitrot related information.
type ErasureInfo struct {

/**
 * Search request body for label type administration API.
 */
public class SearchBody extends BaseSearchBody {

    /**
     * Default constructor.
     */
    public SearchBody() {
        super();
    }

    /** Name of the label type */
    public String name;

    /** Value of the label type */
    public String value;

        mimeMap = new MimeMap();
    }

    @Nested
    @DisplayName("getMimeType with extension only")
    class GetMimeTypeWithExtension {

        @Test
        @DisplayName("Should return correct mime type for known extensions")
        void testKnownExtensions() throws IOException {
            assertEquals("application/pdf", mimeMap.getMimeType("pdf"));
            assertEquals("application/msword", mimeMap.getMimeType("doc"));

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.