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  1. docs/en/docs/tutorial/request-files.md

    ///
    
    The files will be uploaded as "form data".
    
    If you declare the type of your *path operation function* parameter as `bytes`, **FastAPI** will read the file for you and you will receive the contents as `bytes`.
    
    Keep in mind that this means that the whole contents will be stored in memory. This will work well for small files.
    
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  2. docs/en/docs/deployment/concepts.md

    ### Server Memory { #server-memory }
    
    For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.
    
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  3. docs/en/docs/virtual-environments.md

    ---> 100%
    ```
    
    </div>
    
    That will download a compressed file with the FastAPI code, normally from <a href="https://pypi.org/project/fastapi/" class="external-link" target="_blank">PyPI</a>.
    
    It will also **download** files for other packages that FastAPI depends on.
    
    Then it will **extract** all those files and put them in a directory in your computer.
    
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  4. docs/en/docs/advanced/custom-response.md

    {* ../../docs_src/custom_response/tutorial001b.py hl[2,7] *}
    
    /// info
    
    The parameter `response_class` will also be used to define the "media type" of the response.
    
    In this case, the HTTP header `Content-Type` will be set to `application/json`.
    
    And it will be documented as such in OpenAPI.
    
    ///
    
    /// tip
    
    The `ORJSONResponse` is only available in FastAPI, not in Starlette.
    
    ///
    
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  5. docs/en/docs/how-to/separate-openapi-schemas.md

    <img src="/img/tutorial/separate-openapi-schemas/image02.png">
    </div>
    
    This means that it will **always have a value**, it's just that sometimes the value could be `None` (or `null` in JSON).
    
    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`.
    
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  6. docs/en/docs/environment-variables.md

    That means that **any value** read in Python from an environment variable **will be a `str`**, and any conversion to a different type or any validation has to be done in code.
    
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  7. docs/en/docs/tutorial/extra-data-types.md

            * In requests, a list will be read, eliminating duplicates and converting it to a `set`.
            * In responses, the `set` will be converted to a `list`.
            * The generated schema will specify that the `set` values are unique (using JSON Schema's `uniqueItems`).
    * `bytes`:
        * Standard Python `bytes`.
        * In requests and responses will be treated as `str`.
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  8. docs/en/docs/tutorial/cookie-param-models.md

    If you go to the **API docs UI** at `/docs` you will be able to see the **documentation** for cookies for your *path operations*.
    
    But even if you **fill the data** and click "Execute", because the docs UI works with **JavaScript**, the cookies won't be sent, and you will see an **error** message as if you didn't write any values.
    
    ///
    
    ## Forbid Extra Cookies { #forbid-extra-cookies }
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  9. docs/en/docs/tutorial/body-multiple-params.md

    ///
    
    **FastAPI** will do the automatic conversion from the request, so that the parameter `item` receives its specific content and the same for `user`.
    
    It will perform the validation of the compound data, and will document it like that for the OpenAPI schema and automatic docs.
    
    ## Singular values in body { #singular-values-in-body }
    
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  10. docs/en/docs/tutorial/response-model.md

    FastAPI will use this return type to:
    
    * **Validate** the returned data.
        * If the data is invalid (e.g. you are missing a field), it means that *your* app code is broken, not returning what it should, and it will return a server error instead of returning incorrect data. This way you and your clients can be certain that they will receive the data and the data shape expected.
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