.body("{\"test\":\"data\"}");

        assertNotNull(request);
        assertEquals(Method.POST, request.method());
        assertEquals("UTF-8", request.encoding());
        assertEquals(2048, request.threshold());
        assertEquals("{\"test\":\"data\"}", request.body());
    }

    @Test
    public void testAllHttpMethods() {

		if ok {
			return bui
		}
	}
	return BucketUsageInfo{}
}

// parseBucketQuota parses BucketQuota from json
func parseBucketQuota(bucket string, data []byte) (quotaCfg *madmin.BucketQuota, err error) {
	quotaCfg = &madmin.BucketQuota{}
	if err = json.Unmarshal(data, quotaCfg); err != nil {
		return quotaCfg, err
	}
	if !quotaCfg.IsValid() {
		if quotaCfg.Type == "fifo" {

     * Creates a new SitemapsResponseProcessor instance.
     */
    public SitemapsResponseProcessor() {
        super();
    }

    /**
     * Processes the given response data, extracting URLs from sitemaps.
     * @param responseData The response data.
     */
    @Override
    public void process(final ResponseData responseData) {
        final SitemapsHelper sitemapsHelper = crawlerContainer.getComponent("sitemapsHelper");

    val data = Buffer().writeUtf8(content)
    val source: Source =
      object : Source {
        var closed = false

        override fun close() {
          closed = true
        }

        override fun read(
          sink: Buffer,
          byteCount: Long,
        ): Long {
          check(!closed)
          return data.read(sink, byteCount)
        }

Declare the **header parameters** that you need in a **Pydantic model**, and then declare the parameter as `Header`:

{* ../../docs_src/header_param_models/tutorial001_an_py310.py hl[9:14,18] *}

**FastAPI** will **extract** the data for **each field** from the **headers** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the required headers in the docs UI at `/docs`:

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.buildutils.model

import org.gradle.util.GradleVersion


data class ReleasedVersion(private val version: String, private val buildTime: String) {
    fun gradleVersion() = GradleVersion.version(version)

				"application/x-rar-compressed",
				"application/x-roxio-toast",
				"application/x-rpm",
				"application/x-sas",
				"application/x-sas-program-data",
				"application/x-sas-audit",
				"application/x-sas-data",
				"application/x-sas-view",
				"application/x-sas-data-index",
				"application/x-sas-catalog",
				"application/x-sas-access",
				"application/x-sas-fdb",
				"application/x-sas-mddb",

            return doNameQuery(name, svr);
        }

        int IP = 0x00;
        int hitDots = 0;
        final char[] data = host.toCharArray();

        for (int i = 0; i < data.length; i++) {
            char c = data[i];
            if (c < 48 || c > 57) {
                return doNameQuery(name, svr);
            }
            int b = 0x00;
            while (c != '.') {

    /** Info map key for data crawling execution time. */
    public static final String DATA_CRAWLING_EXEC_TIME = "DataCrawlExecTime";

    /** Info map key for data indexing execution time. */
    public static final String DATA_INDEX_EXEC_TIME = "DataIndexExecTime";

    /** Info map key for data index size. */
    public static final String DATA_INDEX_SIZE = "DataIndexSize";

* Editor support, including:
    * Completion.
    * Type checks.
* Validation of data:
    * Automatic and clear errors when the data is invalid.
    * Validation even for deeply nested JSON objects.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of input data: coming from the network to Python data and types. Reading from:
    * JSON.
    * Path parameters.
    * Query parameters.