m.Flags &^= FlagPayloadIsZero
	if len(m.Payload) == 0 && m.Payload != nil {
		m.Flags |= FlagPayloadIsZero
	}
}

type receiver interface {
	msgp.Unmarshaler
	Op() Op
}

type sender interface {
	msgp.MarshalSizer
	Op() Op
}

type connectReq struct {
	ID    [16]byte
	Host  string
	Time  time.Time
	Token string
}

PYTHON_VERSIONS=("python3.10" "python3.11" "python3.12")
for v in "${PYTHON_VERSIONS[@]}"; do
  ln -s "/usr/local/include/${v}" "/${TARGET}/usr/include/x86_64-linux-gnu/${v}"
done

# Patch glibc to be compatable with modern clang
case "${VERSION}" in
devtoolset-9)
  cd /
  patch -p0 < /glibc2.17-inline.patch
;;

Importieren Sie `Enum` und erstellen Sie eine Unterklasse, die von `str` und `Enum` erbt.

Indem Sie von `str` erben, weiß die API-Dokumentation, dass die Werte vom Typ `str` sein müssen, und wird in der Lage sein, korrekt zu rendern.

Erstellen Sie dann Klassen-Attribute mit festgelegten Werten, welches die erlaubten Werte sein werden:

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip | Tipp

**Kaynak Kod**: [https://github.com/fastapi/fastapi](https://github.com/fastapi/fastapi)

---

FastAPI, Python'un standart type hints'lerine dayalı olarak Python ile API'lar oluşturmak için kullanılan modern ve hızlı (yüksek performanslı) bir web framework'üdür.

Temel özellikleri şunlardır:

## Eine `StreamingResponse` mit `yield` { #a-streamingresponse-with-yield }

Wenn Sie in Ihrer Pfadoperation-Funktion ein `response_class=StreamingResponse` deklarieren, können Sie `yield` verwenden, um nacheinander jeden Datenchunk zu senden.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[1:23] hl[20,23] *}

FastAPI übergibt jeden Datenchunk unverändert an die `StreamingResponse`, es wird nicht versucht, ihn in JSON oder etwas Ähnliches zu konvertieren.

                .append(Os.OS_ARCH)
                .append("\", family: \"")
                .append(Os.OS_FAMILY)
                .append('\"');
        // Add process information using modern Java API
        if (commandLine != null) {
            version.append(ls).append("Command line: ").append(commandLine);
        }
        if (terminal != null) {

`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute

     * that trigger this are HEADERS and PUSH_PROMISE.
     *
     * @param inFinished true if the sender will not send further frames.
     * @param streamId the stream owning these headers.
     * @param associatedStreamId the stream that triggered the sender to create this stream.
     */
    fun headers(
      inFinished: Boolean,
      streamId: Int,
      associatedStreamId: Int,

   *
   * @since 8.0
   */
  public static final byte ENQ = 5;

  /**
   * Acknowledge: A communication control character transmitted by a receiver as an affirmative
   * response to a sender.
   *
   * @since 8.0
   */
  public static final byte ACK = 6;

  /**
   * Bell ('\a'): A character for use when there is a need to call for human attention. It may

</a>
</p>

---

**Documentation**: [https://fastapi.tiangolo.com](https://fastapi.tiangolo.com)

**Source Code**: [https://github.com/fastapi/fastapi](https://github.com/fastapi/fastapi)

---

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints.

The key features are: