///

## 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 }

          "mapping": {
            "type": "text",
            "analyzer": "empty_analyzer"
          }
        }
      },
      {
        "lang_ca": {
          "match": "*_ca",
          "mapping": {
            "type": "text",
            "analyzer": "catalan_analyzer"
          }
        }
      },
      {
        "lang_ckb-iq": {
          "match": "*_ckb-iq",
          "mapping": {

# 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.

In limited situations OkHttp will retry a route if connecting fails:

 * When making an HTTPS connection through an HTTP proxy, the proxy may issue an authentication challenge. OkHttp will call the proxy [authenticator](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-authenticator/) and try again.

    assertThat(
      mergeAdjacentRanges(
        listOf(
          Mapping(0x0232, 0x0232, TYPE_MAPPED, "a".encodeUtf8()),
          Mapping(0x0233, 0x0233, TYPE_VALID, ByteString.EMPTY),
          Mapping(0x0234, 0x0236, TYPE_VALID, ByteString.EMPTY),
          Mapping(0x0237, 0x0239, TYPE_VALID, ByteString.EMPTY),
          Mapping(0x023a, 0x023a, TYPE_MAPPED, "b".encodeUtf8()),
        ),
      ),
    ).containsExactly(

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.

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.testing

/**
 * Annotation marking a test as flaky, and requires extra logging and linking against
 * a known github issue.  This does not ignore the failure.
 */
@Target(AnnotationTarget.CLASS, AnnotationTarget.FUNCTION)
@Retention(AnnotationRetention.RUNTIME)

Guillaume Nodet <******@****.***> 1729859506 +0200