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  1. docs/pt/docs/help-fastapi.md

        Use o chat apenas para outro tipo de assunto.
    
    ### Não faça perguntas no chat
    
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  2. docs/en/docs/help-fastapi.md

    * Then check that the tests **pass** after the PR. ✅
    
    * Many PRs don't have tests, you can **remind** them to add tests, or you can even **suggest** some tests yourself. That's one of the things that consume most time and you can help a lot with that.
    
    * Then also comment what you tried, that way I'll know that you checked it. 🤓
    
    ## Create a Pull Request
    
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  3. docs/en/docs/advanced/websockets.md

    * Then close one of the tabs.
    
    That will raise the `WebSocketDisconnect` exception, and all the other clients will receive a message like:
    
    ```
    Client #1596980209979 left the chat
    ```
    
    !!! tip
        The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.
    
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  4. docs/en/docs/release-notes.md

        finally:
            some_cleanup()
    ```
    
    ...that way the `finally` block is run regardless of any exception that might happen.
    
    ### Features
    
    * The same PR [#4575](https://github.com/tiangolo/fastapi/pull/4575) from above also fixes the `contextvars` context for the code before and after `yield`. This was the main objective of that PR.
    
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  5. docs/en/docs/alternatives.md

    This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.
    
    Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.
    
    !!! check "Inspired **FastAPI** to"
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  6. docs/en/docs/tutorial/first-steps.md

    ```
    
    The `@app.get("/")` tells **FastAPI** that the function right below is in charge of handling requests that go to:
    
    * the path `/`
    * using a <abbr title="an HTTP GET method"><code>get</code> operation</abbr>
    
    !!! info "`@decorator` Info"
        That `@something` syntax in Python is called a "decorator".
    
        You put it on top of a function. Like a pretty decorative hat (I guess that's where the term came from).
    
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  7. docs/en/docs/advanced/openapi-callbacks.md

    You could create an API with a *path operation* that could trigger a request to an *external API* created by someone else (probably the same developer that would be *using* your API).
    
    The process that happens when your API app calls the *external API* is named a "callback". Because the software that the external developer wrote sends a request to your API and then your API *calls back*, sending a request to an *external API* (that was probably created by the same developer).
    
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  8. CONTRIBUTING.md

    For any non-trivial change, we need to be able to answer these questions:
    
    * Why is this change done? What's the use case?
    * For user facing features, what will the API look like?
    * What test cases should it have? What could go wrong?
    * How will it roughly be implemented? We'll happily provide code pointers to save you time.
    
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  9. docs/en/docs/deployment/docker.md

    ## Containers and Processes
    
    A **container image** normally includes in its metadata the default program or command that should be run when the **container** is started and the parameters to be passed to that program. Very similar to what would be if it was in the command line.
    
    When a **container** is started, it will run that command/program (although you can override it and make it run a different command/program).
    
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  10. docs/en/docs/tutorial/response-model.md

    ### FastAPI Data Filtering
    
    Now, for FastAPI, it will see the return type and make sure that what you return includes **only** the fields that are declared in the type.
    
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