/**
     * Record a write operation error
     */
    public void recordWriteError() {
        recordError();
    }

    @Override
    public String toString() {
        return String.format(
                "RdmaStatistics[reads=%d, writes=%d, sends=%d, receives=%d, "
                        + "bytes=%d, errors=%d, errorRate=%.3f, activeConnections=%d, activeMemRegions=%d]",

     * is used internally be jCIFS when parsing SMB URLs.
     *
     * @param tc the CIFS context to use
     * @param userInfo the user information string in the format "domain;user:pass"
     */
    public NtlmPasswordAuthentication(final CIFSContext tc, final String userInfo) {
        super(userInfo, tc.getConfig().getDefaultDomain(),

In diesem Beispiel haben wir kein Pydantic-Modell deklariert. Tatsächlich wird der Requestbody nicht einmal als JSON <abbr title="von einem einfachen Format, wie Bytes, in Python-Objekte konvertieren">geparst</abbr>, sondern direkt als `bytes` gelesen und die Funktion `magic_data_reader()` wäre dafür verantwortlich, ihn in irgendeiner Weise zu parsen.

///

## Das Serverprogramm ausführen { #run-the-server-program }

Wenn Sie einen ASGI-Server manuell installiert haben, müssen Sie normalerweise einen Importstring in einem speziellen Format übergeben, damit er Ihre FastAPI-Anwendung importiert:

<div class="termy">

```console
$ uvicorn main:app --host 0.0.0.0 --port 80

	DB.Where(&User{Name: "find or create 3"}).Assign("age", 55).FirstOrCreate(&user4)

	if user4.Age != 55 {
		t.Errorf("Failed to set change to 55, got %v", user4.Age)
	}

	if updatedAt1.Format(time.RFC3339Nano) == user4.UpdatedAt.Format(time.RFC3339Nano) {
		t.Errorf("UpdateAt should be changed when update values with assign")
	}

	DB.Where(&User{Name: "find or create 4"}).Assign(User{Age: 44}).FirstOrCreate(&user4)

		if cErr != nil {
			return nil, cErr
		}

		mysqlArgs := target.MySQLArgs{
			Enable:             enabled,
			Format:             env.Get(formatEnv, kv.Get(target.MySQLFormat)),
			DSN:                env.Get(dsnStringEnv, kv.Get(target.MySQLDSNString)),
			Table:              env.Get(tableEnv, kv.Get(target.MySQLTable)),

        testImplementation.setFullUNCPath("DOMAIN", "server", specialUNCPath);
        assertEquals(specialUNCPath, testImplementation.getFullUNCPath());
    }

    @Test
    @DisplayName("Test with various UNC path formats")
    void testVariousUNCPathFormats() {
        // Standard UNC path
        String standardUNC = "\\\\server\\share\\folder\\file.txt";
        testImplementation.setFullUNCPath("DOMAIN", "server", standardUNC);

 * This handler extends {@link URLStreamHandler} to provide a way to open connections to GCS objects
 * using URLs with the "gcs" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code gcs://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *
 * <p>
 * The handler relies on environment variables for configuration:
 * </p>

 * This handler extends {@link URLStreamHandler} to provide a way to open connections to S3 objects
 * using URLs with the "s3" protocol.
 *
 * <p>
 * The URL format is expected to be: {@code s3://bucketName/objectName}.
 * The bucket name and object name are extracted from the URL.
 * </p>
 *
 * <p>
 * The handler relies on environment variables for configuration:
 * </p>
 * <ul>

{* ../../docs_src/path_operation_advanced_configuration/tutorial006_py39.py hl[19:36, 39:40] *}

In this example, we didn't declare any Pydantic model. In fact, the request body is not even <abbr title="converted from some plain format, like bytes, into Python objects">parsed</abbr> as JSON, it is read directly as `bytes`, and the function `magic_data_reader()` would be in charge of parsing it in some way.