Es ist immer noch möglich, `BackgroundTask` allein in FastAPI zu verwenden, aber Sie müssen das Objekt in Ihrem Code erstellen und eine Starlette-`Response` zurückgeben, die es enthält.

Weitere Details finden Sie in der <a href="https://www.starlette.io/background/" class="external-link" target="_blank">offiziellen Starlette-Dokumentation für Hintergrundtasks</a>.

## Vorbehalt

	MinIOSourceMTime = "x-minio-source-mtime"

	// Header indicates if the etag should be preserved by client
	MinIOSourceETag = "x-minio-source-etag"

	// Writes expected write quorum
	MinIOWriteQuorum = "x-minio-write-quorum"

	// Reads expected read quorum
	MinIOReadQuorum = "x-minio-read-quorum"

	// Indicates if we are using default storage class and there was problem loading config

  }

internal fun Socket.peerName(): String {
  val address = remoteSocketAddress
  return if (address is InetSocketAddress) address.hostName else address.toString()
}

/**
 * Returns true if new reads and writes should be attempted on this.
 *
 * Unfortunately Java's networking APIs don't offer a good health check, so we go on our own by
 * attempting to read with a short timeout. If the fails immediately we know the socket is

}

// verify that copying from an empty reader always has the same results,
// regardless of the presence of a WriteTo method.
func TestReaderCopyNothing(t *testing.T) {
	type nErr struct {
		n   int64
		err error
	}
	type justReader struct {
		io.Reader
	}
	type justWriter struct {
		io.Writer
	}
	discard := justWriter{io.Discard} // hide ReadFrom

	var with, withOut nErr

/**
 * An {@link InputStream} that converts characters from a {@link Reader} into bytes using an
 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *

/**
 * An {@link InputStream} that converts characters from a {@link Reader} into bytes using an
 * arbitrary Charset.
 *
 * <p>This is an alternative to copying the data to an {@code OutputStream} via a {@code Writer},
 * which is necessarily blocking. By implementing an {@code InputStream} it allows consumers to
 * "pull" as much data as they can handle, which is more convenient when dealing with flow
 * controlled, async APIs.
 *

<img src="/img/tutorial/path-params/image02.png">

Und viele weitere kompatible Tools. Inklusive Codegenerierung für viele Sprachen.

## Pydantic

pkg net/http, var ErrUseLastResponse error
pkg net/http, var LocalAddrContextKey *contextKey
pkg net/http, var ServerContextKey *contextKey
pkg net/http/cgi, type Handler struct, Stderr io.Writer
pkg net/http/httptest, func NewRequest(string, string, io.Reader) *http.Request
pkg net/http/httptest, method (*ResponseRecorder) Result() *http.Response

    fun socketPolicy(socketPolicy: SocketPolicy) =
      apply {
        this.socketPolicy = socketPolicy
      }

    /**
     * Throttles the request reader and response writer to sleep for the given period after each
     * series of [bytesPerPeriod] bytes are transferred. Use this to simulate network behavior.
     */
    fun throttleBody(
      bytesPerPeriod: Long,
      period: Long,

    override fun contentType() = delegate.contentType()

    override fun isDuplex() = true

    override fun writeTo(sink: BufferedSink) {
      executorService.schedule({
        try {
          delegate.writeTo(sink)
          sink.close()
        } catch (e: IOException) {
          throw RuntimeException(e)
        }
      }, delayMillis, TimeUnit.MILLISECONDS)