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  1. docs/en/docs/async.md

    * the data from the client to be sent through the network
    * the data sent by your program to be received by the client through the network
    * the contents of a file in the disk to be read by the system and given to your program
    * the contents your program gave to the system to be written to disk
    * a remote API operation
    * a database operation to finish
    * a database query to return the results
    * etc.
    
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  2. docs/de/docs/tutorial/security/oauth2-jwt.md

    Auf diese Weise können Sie einen Token mit einer Gültigkeitsdauer von beispielsweise einer Woche erstellen. Und wenn der Benutzer am nächsten Tag mit dem Token zurückkommt, wissen Sie, dass der Benutzer immer noch bei Ihrem System angemeldet ist.
    
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  3. docs/de/docs/tutorial/security/simple-oauth2.md

    Lassen Sie uns diese Daten zunächst in das Pydantic-Modell `UserInDB` einfügen.
    
    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
    
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  4. docs/it/docs/index.md

        * Tutto questo funzionerebbe anche con oggetti JSON più complessi.
    * Convertirà *da* e *a* JSON automaticamente.
    * Documenterà tutto con OpenAPI, che può essere usato per:
        * Sistemi di documentazione interattivi.
        * Sistemi di generazione di codice dal lato client, per molti linguaggi.
    * Fornirà 2 interfacce di documentazione dell'API interattive.
    
    ---
    
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  5. docs/ru/docs/deployment/concepts.md

    ### Примеры инструментов, управляющих запуском программ
    
    Вот несколько примеров, которые могут справиться с такой задачей:
    
    * Docker
    * Kubernetes
    * Docker Compose
    * Docker в режиме Swarm
    * Systemd
    * Supervisor
    * Использование услуг облачного провайдера
    * Прочие...
    
    Я покажу Вам некоторые примеры их использования в следующих главах.
    
    ## Перезапуск
    
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  6. docs/en/docs/tutorial/first-steps.md

                            "content": {
                                "application/json": {
    
    
    
    ...
    ```
    
    #### What is OpenAPI for
    
    The OpenAPI schema is what powers the two interactive documentation systems included.
    
    And there are dozens of alternatives, all based on OpenAPI. You could easily add any of those alternatives to your application built with **FastAPI**.
    
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  7. docs/ja/docs/deployment/concepts.md

    これを実現するために、通常は**別のプログラム**を用意し、起動時にアプリケーションが実行されるようにします。そして多くの場合、他のコンポーネントやアプリケーション、例えばデータベースも実行されるようにします。
    
    ### 起動時に実行するツールの例
    
    実行するツールの例をいくつか挙げます:
    
    * Docker
    * Kubernetes
    * Docker Compose
    * Swarm モードによる Docker
    * Systemd
    * Supervisor
    * クラウドプロバイダーがサービスの一部として内部的に処理
    * そのほか...
    
    次の章で、より具体的な例を挙げていきます。
    
    ## 再起動
    
    起動時にアプリケーションが実行されることを確認するのと同様に、失敗後にアプリケーションが**再起動**されることも確認したいと思われます。
    
    ### 我々は間違いを犯す
    
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  8. docs/en/docs/features.md

    All built as reusable tools and components that are easy to integrate with your systems, data stores, relational and NoSQL databases, etc.
    
    ### Dependency Injection
    
    FastAPI includes an extremely easy to use, but extremely powerful <abbr title='also known as "components", "resources", "services", "providers"'><strong>Dependency Injection</strong></abbr> system.
    
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  9. docs/en/docs/advanced/websockets.md

    First you need to install `WebSockets`:
    
    <div class="termy">
    
    ```console
    $ pip install websockets
    
    ---> 100%
    ```
    
    </div>
    
    ## WebSockets client
    
    ### In production
    
    In your production system, you probably have a frontend created with a modern framework like React, Vue.js or Angular.
    
    And to communicate using WebSockets with your backend you would probably use your frontend's utilities.
    
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  10. docs/de/docs/async.md

    Da es sich stattdessen um ein „asynchrones“ System handelt, kann die Aufgabe nach Abschluss ein wenig (einige Mikrosekunden) in der Schlange warten, bis das System / Programm seine anderen Dinge erledigt hat und zurückkommt, um die Ergebnisse entgegenzunehmen und mit ihnen weiterzuarbeiten.
    
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