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  1. docs/en/docs/deployment/docker.md

    But it also means that as the number of processes depends on the CPU the container is running, the **amount of memory consumed** will also depend on that.
    
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  2. docs/en/docs/deployment/manually.md

        It is equivalent to:
    
        ```Python
        from main import app
        ```
    
    !!! warning
        Uvicorn and others support a `--reload` option that is useful during development.
    
        The `--reload` option consumes much more resources, is more unstable, etc.
    
        It helps a lot during **development**, but you **shouldn't** use it in **production**.
    
    ## Hypercorn with Trio
    
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  3. docs/en/docs/tutorial/security/get-current-user.md

    This will help us inside of the function with all the completion and type checks.
    
    !!! tip
        You might remember that request bodies are also declared with Pydantic models.
    
        Here **FastAPI** won't get confused because you are using `Depends`.
    
    !!! check
        The way this dependency system is designed allows us to have different dependencies (different "dependables") that all return a `User` model.
    
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  4. docs/en/docs/deployment/concepts.md

    And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. šŸšØ
    
    ### Multiple Processes - An Example
    
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  5. docs/en/docs/async.md

    * the contents your program gave to the system to be written to disk
    * a remote API operation
    * a database operation to finish
    * a database query to return the results
    * etc.
    
    As the execution time is consumed mostly by waiting for <abbr title="Input and Output">I/O</abbr> operations, they call them "I/O bound" operations.
    
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  6. docs/en/docs/deployment/https.md

    !!! tip
        If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.
    
    To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.
    
    Now, from a **developer's perspective**, here are several things to keep in mind while thinking about HTTPS:
    
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  7. docs/pt/docs/async.md

    * uma operaĆ§Ć£o remota API
    * uma operaĆ§Ć£o no banco de dados para finalizar
    * uma solicitaĆ§Ć£o no banco de dados esperando o retorno do resultado
    * etc.
    
    Enquanto o tempo de execuĆ§Ć£o Ć© consumido mais pela espera das operaƧƵes <abbr title="Entrada e SaĆ­da">I/O</abbr>, essas operaƧƵes sĆ£o chamadas de operaƧƵes "limitadas por I/O".
    
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  8. docs/en/docs/release-notes.md

    * Clarify function name in example in docs. PR [#1121](https://github.com/tiangolo/fastapi/pull/1121) by [@tmsick](https://github.com/tmsick).
    * Add external link [Apache Kafka producer and consumer with FastAPI and aiokafka](https://iwpnd.pw/articles/2020-03/apache-kafka-fastapi-geostream) to docs. PR [#1112](https://github.com/tiangolo/fastapi/pull/1112) by [@iwpnd](https://github.com/iwpnd).
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  9. docs/en/docs/help-fastapi.md

    * Then check that the tests **pass** after the PR. āœ…
    
    * 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. šŸ¤“
    
    ## Create a Pull Request
    
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  10. .github/DISCUSSION_TEMPLATE/questions.yml

            Thanks for your interest in FastAPI! šŸš€
    
            Please follow these instructions, fill every question, and do every step. šŸ™
    
            I'm asking this because answering questions and solving problems in GitHub is what consumes most of the time.
    
            I end up not being able to add new features, fix bugs, review pull requests, etc. as fast as I wish because I have to spend too much time handling questions.
    
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