var gnuLongName, gnuLongLink string

	// Externally, Next iterates through the tar archive as if it is a series of
	// files. Internally, the tar format often uses fake "files" to add meta
	// data that describes the next file. These meta data "files" should not
	// normally be visible to the outside. As such, this loop iterates through
	// one or more "header files" until it finds a "normal file".
	format := FormatUSTAR | FormatPAX | FormatGNU

	data, _, err := readConfigWithMetadata(ctx, store, rebalMetaName, opts)
	if err != nil {
		return err
	}

	if len(data) == 0 {
		return nil
	}
	if len(data) <= 4 {
		return fmt.Errorf("rebalanceMeta: no data")
	}

	// Read header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case rebalMetaFmt:
	default:

public class AvTargetName extends AvPair {

    /**
     *
     */
    private static final Charset UTF16LE = StandardCharsets.UTF_16LE;

    /**
     * Constructs an AvTargetName from raw byte data
     *
     * @param raw the raw byte data for the target name AV pair
     */
    public AvTargetName(final byte[] raw) {
        super(AvPair.MsvAvTargetName, raw);
    }

    /**

## Use case { #use-case }

For example, imagine that you want to return an HTTP status code of "OK" `200` by default.

But if the data didn't exist, you want to create it, and return an HTTP status code of "CREATED" `201`.

But you still want to be able to filter and convert the data you return with a `response_model`.

For those cases, you can use a `Response` parameter.

## Use a `Response` parameter { #use-a-response-parameter }

        assertEquals(2, result); // Based on mock data
    }

    public void test_getMatchedLabelValueSet_multipleMatches() {
        // Load some test data first
        labelTypeHelper.load();

        Set<String> result = labelTypeHelper.getMatchedLabelValueSet("/test/path");
        assertNotNull(result);
        // Result depends on test data configuration
    }

    // Helper method to create test data

        assertTrue(response.hasMoreElements());
    }

    @Test
    @DisplayName("Test data handling with various sizes")
    void testDataHandlingWithVariousSizes() {
        // Test with small data count
        response.setDataCount(10);
        assertEquals(10, response.getDataCount());

        // Test with large data count
        response.setDataCount(65535);
        assertEquals(65535, response.getDataCount());

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    Table<Integer, String, Character> original = HashBasedTable.create();
    Table<String, Integer, Character> table = transpose(original);
    table.clear();
    populate(table, data);
    return table;
  }

  public void testTransposeTransposed() {

        int start = bufferIndex;

        if (len < 32) {
            throw new SMBProtocolDecodingException("Lease V1 context data too short: " + len);
        }

        // Read lease V1 data (32 bytes)
        byte[] keyBytes = new byte[16];
        System.arraycopy(buffer, bufferIndex, keyBytes, 0, 16);
        this.leaseKey = new Smb2LeaseKey(keyBytes);
        bufferIndex += 16;

data/folder/file.html テスト data/file.txt テキスト...

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

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

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

You can verify it in the docs UI at `/docs`:

<div class="screenshot">