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  1. docs/zh/docs/tutorial/sql-databases.md

    ```
    
    #### 注意
    
    参数:
    
    ```Python
    connect_args={"check_same_thread": False}
    ```
    
    ...仅用于`SQLite`,在其他数据库不需要它。
    
    !!! info "技术细节"
    
        默认情况下,SQLite 只允许一个线程与其通信,假设有多个线程的话,也只将处理一个独立的请求。
    
        这是为了防止意外地为不同的事物(不同的请求)共享相同的连接。
    
        但是在 FastAPI 中,普遍使用def函数,多个线程可以为同一个请求与数据库交互,所以我们需要使用`connect_args={"check_same_thread": False}`来让SQLite允许这样。
    
        此外,我们将确保每个请求都在依赖项中获得自己的数据库连接会话,因此不需要该默认机制。
    
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  2. fastapi/param_functions.py

                re-used for the rest of the request.
    
                Set `use_cache` to `False` to disable this behavior and ensure the
                dependency is called again (if declared more than once) in the same request.
                """
            ),
        ] = True,
    ) -> Any:
        """
        Declare a FastAPI dependency.
    
        It takes a single "dependable" callable (like a function).
    
    Python
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  3. docs/en/docs/tutorial/bigger-applications.md

    But it's still part of the same **FastAPI** application/web API (it's part of the same "Python Package").
    
    You can create the *path operations* for that module using `APIRouter`.
    
    ### Import `APIRouter`
    
    You import it and create an "instance" the same way you would with the class `FastAPI`:
    
    ```Python hl_lines="1  3" title="app/routers/users.py"
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  4. docs/en/docs/deployment/concepts.md

    * There can be **multiple processes** of the **same program** running at the same time.
    
    If you check out the "task manager" or "system monitor" (or similar tools) in your operating system, you will be able to see many of those processes running.
    
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  5. 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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  6. docs/en/docs/python-types.md

    === "Python 3.10+"
    
        You can use the same builtin types as generics (with square brackets and types inside):
    
        * `list`
        * `tuple`
        * `set`
        * `dict`
    
        And the same as with Python 3.8, from the `typing` module:
    
        * `Union`
        * `Optional` (the same as with Python 3.8)
        * ...and others.
    
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  7. docs/en/docs/tutorial/request-forms-and-files.md

    # Request Forms and Files
    
    You can define files and form fields at the same time using `File` and `Form`.
    
    !!! info
        To receive uploaded files and/or form data, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.
    
        E.g. `pip install python-multipart`.
    
    ## Import `File` and `Form`
    
    === "Python 3.9+"
    
        ```Python hl_lines="3"
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  8. docs/en/docs/how-to/custom-request-and-route.md

    After that, all of the processing logic is the same.
    
    But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed.
    
    ## Accessing the request body in an exception handler
    
    !!! tip
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  9. docs/en/docs/tutorial/security/first-steps.md

    ## The `password` flow
    
    Now let's go back a bit and understand what is all that.
    
    The `password` "flow" is one of the ways ("flows") defined in OAuth2, to handle security and authentication.
    
    OAuth2 was designed so that the backend or API could be independent of the server that authenticates the user.
    
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  10. docs/en/docs/how-to/async-sql-encode-databases.md

    ```
    
    !!! tip
        If you were connecting to a different database (e.g. PostgreSQL), you would need to change the `DATABASE_URL`.
    
    ## Create the tables
    
    In this case, we are creating the tables in the same Python file, but in production, you would probably want to create them with Alembic, integrated with migrations, etc.
    
    Here, this section would run directly, right before starting your **FastAPI** application.
    
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