Vamos colocar esses dados primeiro no modelo `UserInDB` do Pydantic.

Você nunca deve salvar senhas em texto simples, portanto, usaremos o sistema de hashing de senhas (falsas).

Se as senhas não corresponderem, retornaremos o mesmo erro.

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

"Hashing" significa: converter algum conteúdo (uma senha neste caso) em uma sequência de bytes (apenas uma string) que parece algo sem sentido.

Önce bu veriyi Pydantic `UserInDB` modeline koyalım.

Asla düz metin (plaintext) password kaydetmemelisiniz; bu yüzden (sahte) password hashing sistemini kullanacağız.

Password’ler eşleşmezse, aynı hatayı döndürürüz.

#### Password hashing { #password-hashing }

"Hashing" şudur: bir içeriği (bu örnekte password) anlaşılmaz görünen bayt dizisine (yani bir string’e) dönüştürmek.

///

## Password hashing { #password-hashing }

"Hashing" means converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

Whenever you pass exactly the same content (exactly the same password) you get exactly the same gibberish.

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

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

# OAuth2 mit Passwort (und Hashing), Bearer mit JWT-Tokens { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Da wir nun über den gesamten Sicherheitsablauf verfügen, machen wir die Anwendung tatsächlich sicher, indem wir <abbr title="JSON Web Tokens">JWT</abbr>-Tokens und sicheres Passwort-Hashing verwenden.

Diesen Code können Sie tatsächlich in Ihrer Anwendung verwenden, die Passwort-Hashes in Ihrer Datenbank speichern, usw.

# OAuth2 con Password (y hashing), Bearer con tokens JWT { #oauth2-with-password-and-hashing-bearer-with-jwt-tokens }

Ahora que tenemos todo el flujo de seguridad, hagamos que la aplicación sea realmente segura, usando tokens <abbr title="JSON Web Tokens">JWT</abbr> y hashing de contraseñas seguras.

Este código es algo que puedes usar realmente en tu aplicación, guardar los hashes de las contraseñas en tu base de datos, etc.

Sie sollten niemals Klartext-Passwörter speichern, daher verwenden wir ein (gefaktes) Passwort-Hashing-System.

Wenn die Passwörter nicht übereinstimmen, geben wir denselben Fehler zurück.

#### Passwort-Hashing { #password-hashing }

„Hashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.

Let's put that data in the Pydantic `UserInDB` model first.

You should never save plaintext passwords, so, we'll use the (fake) password hashing system.

If the passwords don't match, we return the same error.

#### Password hashing { #password-hashing }

"Hashing" means: converting some content (a password in this case) into a sequence of bytes (just a string) that looks like gibberish.

      Segment<Object, Object, ?, ?> segment = map.segments[0];

      Object keyOne = new Object();
      Object valueOne = new Object();
      int hashOne = map.hash(keyOne);
      InternalEntry<Object, Object, ?> entryOne = segment.newEntryForTesting(keyOne, hashOne, null);
      WeakValueReference<Object, Object, ?> valueRefOne =
          segment.newWeakValueReferenceForTesting(entryOne, valueOne);

      Segment<Object, Object, ?, ?> segment = map.segments[0];

      Object keyOne = new Object();
      Object valueOne = new Object();
      int hashOne = map.hash(keyOne);
      InternalEntry<Object, Object, ?> entryOne = segment.newEntryForTesting(keyOne, hashOne, null);
      WeakValueReference<Object, Object, ?> valueRefOne =
          segment.newWeakValueReferenceForTesting(entryOne, valueOne);

  }

  public void testToString() {
    assertThat(SIP_WITH_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(SIP_WITHOUT_KEY.toString()).isEqualTo("Hashing.sipHash24(" + K0 + ", " + K1 + ")");
    assertThat(sipHash24(20, 13).toString()).isEqualTo("Hashing.sipHash24(20, 13)");
  }

  private static void assertSip(String input, long expected) {