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  1. docs/de/docs/project-generation.md

    * **Sicheres Passwort**-Hashing standardmäßig.
    * **JWT-Token**-Authentifizierung.
    * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können).
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  2. docs/pt/docs/project-generation.md

    * **Senha segura** _hashing_ por padrão.
    * Autenticação **Token JWT**.
    * Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente).
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  3. docs/en/docs/tutorial/security/oauth2-jwt.md

    ## 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
    
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  4. docs/en/docs/release-notes.md

    * 🌐 Add Chinese translation for Tutorial - Debugging. PR [#2737](https://github.com/tiangolo/fastapi/pull/2737) by [@blt232018](https://github.com/blt232018).
    * 🌐 Add Chinese translation for Tutorial - Security - OAuth2 with Password (and hashing), Bearer with JWT tokens. PR [#2642](https://github.com/tiangolo/fastapi/pull/2642) by [@waynerv](https://github.com/waynerv).
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  5. docs/de/docs/tutorial/security/oauth2-jwt.md

    ## Die Passwörter hashen und überprüfen
    
    Importieren Sie die benötigten Tools aus `passlib`.
    
    Erstellen Sie einen PassLib-„Kontext“. Der wird für das Hashen und Verifizieren von Passwörtern verwendet.
    
    !!! tip "Tipp"
        Der PassLib-Kontext kann auch andere Hashing-Algorithmen verwenden, einschließlich deprecateter Alter, um etwa nur eine Verifizierung usw. zu ermöglichen.
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  6. docs/en/docs/project-generation.md

        - 🤖 An automatically generated frontend client.
        - 🦇 Dark mode support.
    - 🐋 [Docker Compose](https://www.docker.com) for development and production.
    - 🔒 Secure password hashing by default.
    - 🔑 JWT token authentication.
    - 📫 Email based password recovery.
    - ✅ Tests with [Pytest](https://pytest.org).
    - 📞 [Traefik](https://traefik.io) as a reverse proxy / load balancer.
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  7. docs/ru/docs/tutorial/extra-models.md

        Если вам это не знакомо, вы можете узнать про "хэш пароля" в [главах о безопасности](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
    
    ## Множественные модели
    
    Ниже изложена основная идея того, как могут выглядеть эти модели с полями для паролей, а также описаны места, где они используются:
    
    === "Python 3.10+"
    
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  8. docs/en/docs/tutorial/extra-models.md

    !!! danger
        Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.
    
        If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.
    
    ## Multiple models
    
    Here's a general idea of how the models could look like with their password fields and the places where they are used:
    
    === "Python 3.10+"
    
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  9. docs/de/docs/tutorial/security/simple-oauth2.md

    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-HashingHashing“ bedeutet: Konvertieren eines Inhalts (in diesem Fall eines Passworts) in eine Folge von Bytes (ein schlichter String), die wie Kauderwelsch aussieht.
    
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  10. docs/en/docs/tutorial/security/simple-oauth2.md

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