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  1. docs/en/docs/tutorial/security/oauth2-jwt.md

    Create a PassLib "context". This is what will be used to hash and verify passwords.
    
    !!! tip
        The PassLib context also has functionality to use different hashing algorithms, including deprecated old ones only to allow verifying them, etc.
    
        For example, you could use it to read and verify passwords generated by another system (like Django) but hash any new passwords with a different algorithm like Bcrypt.
    
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  2. docs/en/docs/deployment/concepts.md

    I'll tell you a bit more about these **concepts** here, and that would hopefully give you the **intuition** you would need to decide how to deploy your API in very different environments, possibly even in **future** ones that don't exist yet.
    
    By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**.
    
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  3. docs/en/docs/python-types.md

    #### Newer versions of Python
    
    The syntax using `typing` is **compatible** with all versions, from Python 3.6 to the latest ones, including Python 3.9, Python 3.10, etc.
    
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  4. docs/en/docs/release-notes.md

        * These `dependencies` are run before the normal parameter dependencies. And normal dependencies are run too. They can be combined.
        * Dependencies declared in a router are executed first, then the ones defined in *path operation decorators*, and then the ones declared in normal parameters. They are all combined and executed.
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  5. docs/en/docs/advanced/generate-clients.md

    * Response payloads.
    
    You would also have **inline errors** for everything.
    
    And whenever you update the backend code, and **regenerate** the frontend, it would have any new *path operations* available as methods, the old ones removed, and any other change would be reflected on the generated code. 🤓
    
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  6. docs/en/docs/tutorial/response-model.md

        "price": 62,
        "tax": 20.2
    }
    ```
    
    they will be included in the response.
    
    #### Data with the same values as the defaults
    
    If the data has the same values as the default ones, like the item with ID `baz`:
    
    ```Python hl_lines="3  5-6"
    {
        "name": "Baz",
        "description": None,
        "price": 50.2,
        "tax": 10.5,
        "tags": []
    }
    ```
    
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  7. fastapi/applications.py

                bool,
                Doc(
                    """
                    Configuration passed to Pydantic to define if the response data
                    should have all the fields, including the ones that were not set and
                    have their default values. This is different from
                    `response_model_exclude_defaults` in that if the fields are set,
    Python
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  8. docs/en/docs/async.md

    <img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">
    
    The cashier says something to the cook in the kitchen so they know they have to prepare your burgers (even though they are currently preparing the ones for the previous clients).
    
    <img src="/img/async/concurrent-burgers/concurrent-burgers-03.png" class="illustration">
    
    You pay. 💸
    
    The cashier gives you the number of your turn.
    
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  9. fastapi/routing.py

                bool,
                Doc(
                    """
                    Configuration passed to Pydantic to define if the response data
                    should have all the fields, including the ones that were not set and
                    have their default values. This is different from
                    `response_model_exclude_defaults` in that if the fields are set,
    Python
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  10. docs/en/docs/deployment/server-workers.md

    * And then it starts **4 workers**, each with its own PID: `19511`, `19513`, `19514`, and `19515`.
    
    Gunicorn would also take care of managing **dead processes** and **restarting** new ones if needed to keep the number of workers. So that helps in part with the **restart** concept from the list above.
    
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