wantSelected: &inputSerialized[2],
			wantOk:       true,
		},
		{
			// inputSerialized[1] have older versions of the second in inputSerialized[2], but
			// since it is not strict, we should get it that one (with latest modtime)
			name:         "modtimemismatch,not strict",
			m:            metaCacheEntries{inputSerialized[1], inputSerialized[1], inputSerialized[2], inputSerialized[2]},

        final byte[] derived = new byte[16];
        gen.generateBytes(derived, 0, 16);
        return derived;
    }

    /**
     * @param string
     * @return null terminated ASCII bytes
     */
    private static byte[] toCBytes(final String string) {
        final byte[] data = new byte[string.length() + 1];
        System.arraycopy(string.getBytes(StandardCharsets.US_ASCII), 0, data, 0, string.length());

		t := madmin.TraceInfo{
			TraceType: tt,
			FuncName:  funcName,
			NodeName:  nodeName,
			Time:      reqStartTime,
			Duration:  reqEndTime.Sub(respRecorder.StartTime),
			Path:      reqPath,
			Bytes:     int64(inputBytes + respRecorder.Size()),
			HTTP: &madmin.TraceHTTPStats{
				ReqInfo: madmin.TraceRequestInfo{
					Time:     reqStartTime,
					Proto:    r.Proto,
					Method:   r.Method,

			return ErrMalformedXML
		}

		// Populate payload to extract location constraint.
		r.Body = io.NopCloser(bytes.NewReader(payload))
		region, s3Err = parseLocationConstraint(r)
		if s3Err != ErrNone {
			return s3Err
		}

		// Populate payload again to handle it in HTTP handler.
		r.Body = io.NopCloser(bytes.NewReader(payload))
	}

	logger.GetReqInfo(ctx).Region = region

	return s3Err
}

Apart from normal singular types like `str`, `int`, `float`, etc. you can use more complex singular types that inherit from `str`.

To see all the options you have, checkout <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's Type Overview</a>. You will see some examples in the next chapter.

Чтобы увидеть все варианты, которые у вас есть, ознакомьтесь с <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">обзором типов Pydantic</a>. Вы увидите некоторые примеры в следующей главе.

It has:

* Seriously impressive performance.
* WebSocket support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Few hard dependencies.

Sie können dies mit <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">Pydantic's `AfterValidator`</a> innerhalb von `Annotated` erreichen.

/// tip | Tipp

Você pode fazer isso usando o <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` do Pydantic</a> dentro de `Annotated`.

/// tip | Dica

O Pydantic também tem <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> e outros. 🤓

	requestMaxBodySize = globalMaxObjectSize + requestFormDataSize

	// Maximum size for http headers - See: https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html
	maxHeaderSize = 8 * 1024

	// Maximum size for user-defined metadata - See: https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingMetadata.html
	maxUserDataSize = 2 * 1024

	// maxBuckets upto 500000 for any MinIO deployment.
	maxBuckets = 500 * 1000
)