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  1. docs/en/docs/advanced/testing-database.md

    ## Create the database
    
    Because now we are going to use a new database in a new file, we need to make sure we create the database with:
    
    ```Python
    Base.metadata.create_all(bind=engine)
    ```
    
    That is normally called in `main.py`, but the line in `main.py` uses the database file `sql_app.db`, and we need to make sure we create `test.db` for the tests.
    
    So we add that line here, with the new file.
    
    ```Python hl_lines="16"
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  2. docs/en/docs/deployment/manually.md

    ## ASGI Servers
    
    Let's go a little deeper into the details.
    
    FastAPI uses a standard for building Python web frameworks and servers called <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>. FastAPI is an ASGI web framework.
    
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  3. docs/en/docs/advanced/sub-applications.md

    ### Technical Details: `root_path`
    
    When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`.
    
    That way, the sub-application will know to use that path prefix for the docs UI.
    
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  4. docs/en/docs/how-to/async-sql-encode-databases.md

    ## Create notes
    
    Create the *path operation function* to create notes:
    
    ```Python hl_lines="61-65"
    {!../../../docs_src/async_sql_databases/tutorial001.py!}
    ```
    
    !!! info
        In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.
    
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  5. docs/en/docs/tutorial/security/first-steps.md

    The `oauth2_scheme` variable is an instance of `OAuth2PasswordBearer`, but it is also a "callable".
    
    It could be called as:
    
    ```Python
    oauth2_scheme(some, parameters)
    ```
    
    So, it can be used with `Depends`.
    
    ### Use it
    
    Now you can pass that `oauth2_scheme` in a dependency with `Depends`.
    
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  6. docs/em/docs/tutorial/dependencies/dependencies-with-yield.md

    # 🔗 ⏎ī¸ 🌾
    
    FastAPI 🐕‍đŸĻē 🔗 👈 <abbr title='sometimes also called "exit", "cleanup", "teardown", "close", "context managers", ...'>➕ 🔁 ⏎ī¸ 🏁</abbr>.
    
    👉, ⚙ī¸ `yield` ↩ī¸ `return`, &amp; ✍ ➕ 🔁 ⏎ī¸.
    
    !!! tip
        ⚒ 💭 ⚙ī¸ `yield` 1ī¸âƒŖ 👁 🕰.
    
    !!! note "📡 ℹ"
        🙆 đŸ”ĸ 👈 ☑ ⚙ī¸ ⏎ī¸:
    
        * <a href="https://docs.python.org/3/library/contextlib.html#contextlib.contextmanager" class="external-link" target="_blank">`@contextlib.contextmanager`</a> ⚖ī¸
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  7. docs/en/docs/advanced/async-tests.md

    ## Other Asynchronous Function Calls
    
    As the testing function is now asynchronous, you can now also call (and `await`) other `async` functions apart from sending requests to your FastAPI application in your tests, exactly as you would call them anywhere else in your code.
    
    !!! tip
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  8. fastapi/background.py

                Doc(
                    """
                    The function to call after the response is sent.
    
                    It can be a regular `def` function or an `async def` function.
                    """
                ),
            ],
            *args: P.args,
            **kwargs: P.kwargs,
        ) -> None:
            """
            Add a function to be called in the background after the response is sent.
    
            Read more about it in the
    Python
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  9. docs/en/docs/fastapi-cli.md

    # FastAPI CLI
    
    **FastAPI CLI** is a command line program `fastapi` that you can use to serve your FastAPI app, manage your FastAPI project, and more.
    
    When you install FastAPI (e.g. with `pip install fastapi`), it includes a package called `fastapi-cli`, this package provides the `fastapi` command in the terminal.
    
    To run your FastAPI app for development, you can use the `fastapi dev` command:
    
    <div class="termy">
    
    ```console
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  10. docs/en/docs/advanced/path-operation-advanced-configuration.md

        {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
        ```
    
    !!! info
        In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.
    
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