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  1. docs/en/docs/tutorial/testing.md

    And your **FastAPI** application might also be composed of several files/modules, etc.
    
    ### **FastAPI** app file
    
    Let's say you have a file structure as described in [Bigger Applications](bigger-applications.md){.internal-link target=_blank}:
    
    ```
    .
    ├── app
    │   ├── __init__.py
    │   └── main.py
    ```
    
    In the file `main.py` you have your **FastAPI** app:
    
    
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  2. docs/en/docs/how-to/graphql.md

    ## Learn More
    
    You can learn more about **GraphQL** in the <a href="https://graphql.org/" class="external-link" target="_blank">official GraphQL documentation</a>.
    
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  3. docs/es/docs/advanced/response-directly.md

    ```
    
    ## Notas
    
    Cuando devuelves una `Response` directamente, los datos no son validados, convertidos (serializados), ni documentados automáticamente.
    
    Pero todavía es posible documentarlo como es descrito en [Respuestas adicionales en OpenAPI](additional-responses.md){.internal-link target=_blank}.
    
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  4. docs/en/docs/contributing.md

    ### Install requirements using pip
    
    After activating the environment as described above:
    
    <div class="termy">
    
    ```console
    $ pip install -r requirements.txt
    
    ---> 100%
    ```
    
    </div>
    
    It will install all the dependencies and your local FastAPI in your local environment.
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  5. docs/en/docs/advanced/behind-a-proxy.md

    ```Python hl_lines="9"
    {!../../../docs_src/behind_a_proxy/tutorial004.py!}
    ```
    
    and then it won't include it in the OpenAPI schema.
    
    ## Mounting a sub-application
    
    If you need to mount a sub-application (as described in [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}) while also using a proxy with `root_path`, you can do it normally, as you would expect.
    
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  6. docs/en/docs/tutorial/response-model.md

    !!! info
        You can also use:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        as described in <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">the Pydantic docs</a> for `exclude_defaults` and `exclude_none`.
    
    #### Data with values for fields with defaults
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  7. docs/en/docs/alternatives.md

    As the parameters are described with TypeScript types (similar to Python type hints), editor support is quite good.
    
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  8. docs/en/docs/deployment/concepts.md

    We will talk a lot about the running "**process**", so it's useful to have clarity about what it means, and what's the difference with the word "**program**".
    
    ### What is a Program
    
    The word **program** is commonly used to describe many things:
    
    * The **code** that you write, the **Python files**.
    * The **file** that can be **executed** by the operating system, for example: `python`, `python.exe` or `uvicorn`.
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  9. docs/en/docs/how-to/separate-openapi-schemas.md

    That means that, clients using your API don't have to check if the value exists or not, they can **assume the field will always be there**, but just that in some cases it will have the default value of `None`.
    
    The way to describe this in OpenAPI, is to mark that field as **required**, because it will always be there.
    
    Because of that, the JSON Schema for a model can be different depending on if it's used for **input or output**:
    
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  10. docs/es/docs/advanced/response-headers.md

    
    ## Retornar una `Response` directamente
    
    Adicionalmente, puedes añadir headers cuando se retorne una `Response` directamente.
    
    Crea un response tal como se describe en [Retornar una respuesta directamente](response-directly.md){.internal-link target=_blank} y pasa los headers como un parámetro adicional:
    
    ```Python hl_lines="10-12"
    {!../../../docs_src/response_headers/tutorial001.py!}
    ```
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