assertQueryBuilder("content", "test", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "a", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "あ", PrefixQueryBuilder.class);
        assertQueryBuilder("content", "ああ", MatchPhraseQueryBuilder.class);
        assertQueryBuilder("content", "ア", PrefixQueryBuilder.class);
        assertQueryBuilder("content", "アア", MatchPhraseQueryBuilder.class);

`xl.meta` carries first 8 bytes an XL header which describes the current format and the format version,
allowing the unmarshaller's to automatically use the right data structures to parse the subsequent content in the stream.

### v1.0

| Entry     | Encoding    | Content
| ----------|-------------|----------------------------------------
| xlHeader  | [4]byte     | `'X', 'L', '2', ' '`
| xlVersion | [4]byte     | `'1', ' ', ' ', ' '`

func (e ETag) ETag() ETag { return e }

// FromContentMD5 decodes and returns the Content-MD5
// as ETag, if set. If no Content-MD5 header is set
// it returns an empty ETag and no error.
func FromContentMD5(h http.Header) (ETag, error) {
	v, ok := h["Content-Md5"]
	if !ok {
		return nil, nil
	}
	if v[0] == "" {
		return nil, errors.New("etag: content-md5 is set but contains no value")
	}

Ä true§MetaUsr‚¤etagÙ 14a1119d5fe668d77000¬content-type¸application/octet-stream¡v Î@<ÉD ¤nullÄ7ÇZß ã?øO¼¡*gý V‰}z† Ír­!ù¬· 0Âéÿ S e ÚòP9WËpè‚ Jó±% multisitea/data/disterasure/xl12/bucket/2/xl.meta XL2 Æ i Ä$•Ä Ó É ¥— HÄ ABGJ Å =ƒ¤Type ¥V2ObjÞ ¢IDÄ ¤DDirÄ ¹Ü±Ÿ>!HÈ’¹Ž¦iÄ ÷¦EcAlgo £EcM £EcN §EcBSizeÒ §EcIndex ¦EcDistœ ¨CSumAlgo ¨PartNums‘ ©PartETagsÀ©PartSizes‘|ªPartASizes‘|¤Size|¥MTimeÓ É ¥— H§MetaSys ¼x-minio-internal-inline-dataÄ true§MetaUsr‚¬content-typeªtext/plain¤etagÙ cfc3c55bdcdef4cf23f6¡v...

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

<input name="files" type="file" multiple>
<input type="submit">
</form>
</body>
    """

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

Das wird ein `dict` erstellen, mit nur den Daten, die gesetzt wurden als das `item`-Modell erstellt wurde, Defaultwerte ausgeschlossen.

Sie können das verwenden, um ein `dict` zu erstellen, das nur die (im Request) gesendeten Daten enthält, ohne Defaultwerte:

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

        }
    )


def test_post_files_and_token(tmp_path, app: FastAPI):
    patha = tmp_path / "test.txt"
    pathb = tmp_path / "testb.txt"
    patha.write_text("<file content>")
    pathb.write_text("<file b content>")

    client = TestClient(app)
    with patha.open("rb") as filea, pathb.open("rb") as fileb:
        response = client.post(
            "/files/",
            data={"token": "foo"},

                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {