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`:

            return doNameQuery(new Name(host, type, scope), 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(new Name(host, type, scope), svr);
            }
            int b = 0x00;

        // Verify that data was written (should write 22 bytes based on implementation)
        assertEquals(22, result, "writeParameterWordsWireFormat should write 22 bytes");
    }

    @Test
    void testWriteBytesWireFormat() {
        byte[] dst = new byte[1024];
        int result = setupAndX.writeBytesWireFormat(dst, 0);

        // Verify that data was written

    /**
     * Session flag indicating this is a null/anonymous session
     */
    public static final int SMB2_SESSION_FLAGS_IS_NULL = 0x2;

    /**
     * Session flag indicating data encryption is required for this session
     */
    public static final int SMB2_SESSION_FLAG_ENCRYPT_DATA = 0x4;

    private int sessionFlags;
    private byte[] blob;

    /**

    /** 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.

 *   <li>{@code STORAGE_REGION}: The region of the MinIO service.</li>
 * </ul>
 *
 * <p>
 * The {@link StorageURLConnection} class handles the actual connection and data retrieval from the storage service.
 * </p>
 */
public class Handler extends URLStreamHandler {

    /**
     * Constructs a new Handler.
     */
    public Handler() {
        // Default constructor
    }

    /** Temporary file attribute */
    int ATTR_TEMPORARY = 0x100;

    // access mask encoding
    /** File read data access right */
    int FILE_READ_DATA = 0x00000001; // 1
    /** File write data access right */
    int FILE_WRITE_DATA = 0x00000002; // 2
    /** File append data access right */
    int FILE_APPEND_DATA = 0x00000004; // 3
    /** File read extended attributes access right */

**FastAPI**s `UploadFile` erbt direkt von **Starlette**s `UploadFile`, fügt aber ein paar notwendige Teile hinzu, um es kompatibel mit **Pydantic** und anderen Teilen von FastAPI zu machen.

///

## Was sind „Formulardaten“ { #what-is-form-data }

Der Weg, wie HTML-Formulare (`<form></form>`) die Daten zum Server senden, verwendet normalerweise eine „spezielle“ Kodierung für diese Daten. Diese unterscheidet sich von JSON.

var ErrInvalidChecksum = errors.New("invalid checksum")

// SetExpectedMin set expected minimum data expected from reader
func (r *Reader) SetExpectedMin(expectedMin int64) {
	r.expectedMin = expectedMin
}

// SetExpectedMax set expected max data expected from reader
func (r *Reader) SetExpectedMax(expectedMax int64) {
	r.expectedMax = expectedMax
}