ipad[i] = 0x36;
            opad[i] = 0x5c;
        }

        // Calculate inner hash
        md5.reset();
        md5.update(ipad);
        md5.update(data);
        byte[] innerHash = md5.digest();

        // Calculate outer hash
        md5.reset();
        md5.update(opad);
        byte[] expectedResult = md5.digest(innerHash);

##### Warum Passwort-Hashing verwenden? { #why-use-password-hashing }

Wenn Ihre Datenbank gestohlen wird, hat der Dieb nicht die Klartext-Passwörter Ihrer Benutzer, sondern nur die Hashes.

Der Dieb kann also nicht versuchen, die gleichen Passwörter in einem anderen System zu verwenden (da viele Benutzer überall das gleiche Passwort verwenden, wäre dies gefährlich).

But you cannot convert from the gibberish back to the password.

##### Why use password hashing { #why-use-password-hashing }

If your database is stolen, the thief won't have your users' plaintext passwords, only the hashes.

So, the thief won't be able to try to use those same passwords in another system (as many users use the same password everywhere, this would be dangerous).

{* ../../docs_src/security/tutorial003_an_py310.py hl[82:85] *}

Primero pongamos esos datos en el modelo `UserInDB` de Pydantic.

Nunca deberías guardar passwords en texto plano, así que, usaremos el sistema de hash de passwords (falso).

Si los passwords no coinciden, devolvemos el mismo error.

#### Hashing de passwords { #password-hashing }

"Hacer hash" significa: convertir algún contenido (un password en este caso) en una secuencia de bytes (solo un string) que parece un galimatías.

 * artifact publishing by reducing the artifacts and packaging reports that consist of multiple files.
 *
 * Reducing the number of reports also makes it easier to find the important ones when analysing a failed build in
 * Team City.
 */

val testFilesCleanup = extensions.create<TestFileCleanUpExtension>("testFilesCleanup").apply {
    reportOnly.convention(false)
}

        // Setup special characters directory
        Files.writeString(specialDir.resolve("file with spaces.txt"), "spaces");
        Files.writeString(specialDir.resolve("file-with-dashes.txt"), "dashes");
        Files.writeString(specialDir.resolve("file_with_underscores.txt"), "underscores");
        Files.writeString(specialDir.resolve("file.multiple.dots.txt"), "dots");

        // Setup deeply nested directories

    void testNTOWFv1() {
        byte[] hash = NtlmPasswordAuthentication.nTOWFv1("password");
        assertNotNull(hash);
        assertEquals(16, hash.length);
    }

    // Test nTOWFv2
    @Test
    void testNTOWFv2() {
        byte[] hash = NtlmPasswordAuthentication.nTOWFv2("DOMAIN", "user", "password");
        assertNotNull(hash);
        assertEquals(16, hash.length);
    }

    // Test unescape method

 *  **Okio dependency added.** OkHttp now depends on
    [Okio](https://github.com/square/okio), an I/O library that makes it easier
    to access, store and process data. Using this library internally makes OkHttp
    faster while consuming less memory. You can write a `RequestBody` as an Okio
    `BufferedSink` and a `ResponseBody` as an Okio `BufferedSource`. Standard

# Den Request direkt verwenden { #using-the-request-directly }

Bisher haben Sie die Teile des <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Requests</abbr>, die Sie benötigen, mithilfe von deren Typen deklariert.

Daten nehmend von:

* Dem Pfad als Parameter.
* Headern.
* Cookies.
* usw.

Und indem Sie das tun, validiert **FastAPI** diese Daten, konvertiert sie und generiert automatisch Dokumentation für Ihre API.

	}

	if sipHashElement := hashKey("SIPMOD", "This will fail", 0, testUUID); sipHashElement != -1 {
		t.Errorf("Test: Expected \"-1\" but got \"%v\"", sipHashElement)
	}

	if sipHashElement := hashKey("UNKNOWN", "This will fail", 0, testUUID); sipHashElement != -1 {
		t.Errorf("Test: Expected \"-1\" but got \"%v\"", sipHashElement)
	}
}

// TestCrcHashMod - test crc hash.
func TestCrcHashMod(t *testing.T) {