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  1. docs_src/custom_response/tutorial003.py

    app = FastAPI()
    
    
    @app.get("/items/")
    async def read_items():
        html_content = """
        <html>
            <head>
                <title>Some HTML in here</title>
            </head>
            <body>
                <h1>Look ma! HTML!</h1>
            </body>
        </html>
        """
    Python
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  2. docs/en/docs/advanced/async-tests.md

    Let's look at how we can make that work.
    
    ## pytest.mark.anyio
    
    Plain Text
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  3. docs/en/docs/tutorial/security/first-steps.md

        All the security utilities that integrate with OpenAPI (and the automatic API docs) inherit from `SecurityBase`, that's how **FastAPI** can know how to integrate them in OpenAPI.
    
    ## What it does
    
    It will go and look in the request for that `Authorization` header, check if the value is `Bearer ` plus some token, and will return the token as a `str`.
    
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  4. docs/en/docs/alternatives.md

    The way you use it is very simple. For example, to do a `GET` request, you would write:
    
    ```Python
    response = requests.get("http://example.com/some/url")
    ```
    
    The FastAPI counterpart API *path operation* could look like:
    
    ```Python hl_lines="1"
    @app.get("/some/url")
    def read_url():
        return {"message": "Hello World"}
    ```
    
    See the similarities in `requests.get(...)` and `@app.get(...)`.
    
    Plain Text
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  5. docs/en/docs/deployment/https.md

    The idea is to automate the acquisition and renewal of these certificates so that you can have **secure HTTPS, for free, forever**.
    
    ## HTTPS for Developers
    
    Here's an example of how an HTTPS API could look like, step by step, paying attention mainly to the ideas important for developers.
    
    ### Domain Name
    
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  6. docs/en/docs/tutorial/debugging.md

    * Select "Python"
    * Run the debugger with the option "`Python: Current File (Integrated Terminal)`".
    
    It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.
    
    Here's how it might look:
    
    <img src="/img/tutorial/debugging/image01.png">
    
    ---
    
    If you use Pycharm, you can:
    
    * Open the "Run" menu.
    * Select the option "Debug...".
    * Then a context menu shows up.
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  7. docs/en/docs/how-to/custom-docs-ui-assets.md

    Let's say your project file structure looks like this:
    
    ```
    .
    ├── app
    │   ├── __init__.py
    │   ├── main.py
    ```
    
    Now create a directory to store those static files.
    
    Your new file structure could look like this:
    
    ```
    .
    ├── app
    │   ├── __init__.py
    │   ├── main.py
    └── static/
    ```
    
    ### Download the files
    
    Download the static files needed for the docs and put them on that `static/` directory.
    
    Plain Text
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  8. docs/en/docs/tutorial/bigger-applications.md

    The section:
    
    ```Python
    from .routers import items, users
    ```
    
    means:
    
    * Starting in the same package that this module (the file `app/main.py`) lives in (the directory `app/`)...
    * look for the subpackage `routers` (the directory at `app/routers/`)...
    * and from it, import the submodule `items` (the file at `app/routers/items.py`) and `users` (the file at `app/routers/users.py`)...
    
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  9. docs/en/docs/tutorial/schema-extra-example.md

        ```Python hl_lines="20-27"
        {!> ../../../docs_src/schema_extra_example/tutorial003.py!}
        ```
    
    ### Example in the docs UI
    
    With any of the methods above it would look like this in the `/docs`:
    
    <img src="/img/tutorial/body-fields/image01.png">
    
    ### `Body` with multiple `examples`
    
    You can of course also pass multiple `examples`:
    
    === "Python 3.10+"
    
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  10. docs/en/docs/tutorial/dependencies/sub-dependencies.md

            return {"fresh_value": fresh_value}
        ```
    
    ## Recap
    
    Apart from all the fancy words used here, the **Dependency Injection** system is quite simple.
    
    Just functions that look the same as the *path operation functions*.
    
    But still, it is very powerful, and allows you to declare arbitrarily deeply nested dependency "graphs" (trees).
    
    !!! tip
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