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fastapi/security/http.py
For example, in an HTTP Bearer token scheme, the client will send a header like: ``` Authorization: Bearer deadbeef12346 ``` In this case: * `scheme` will have the value `"Bearer"` * `credentials` will have the value `"deadbeef12346"` """ scheme: Annotated[ str, Doc( """
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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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docs/en/docs/advanced/generate-clients.md
You will have inline errors for the data that you send: <img src="/img/tutorial/generate-clients/image04.png"> The response object will also have autocompletion: <img src="/img/tutorial/generate-clients/image05.png"> ## FastAPI App with Tags In many cases your FastAPI app will be bigger, and you will probably use tags to separate different groups of *path operations*.
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docs/en/docs/contributing.md
<div class="termy"> ```console $ python -m venv env ``` </div> That will create a directory `./env/` with the Python binaries, and then you will be able to install packages for that local environment. ### Activate the environment Activate the new environment with: === "Linux, macOS" <div class="termy">
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fastapi/security/oauth2.py
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docs/en/docs/advanced/behind-a-proxy.md
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docs/en/docs/tutorial/first-steps.md
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docs/ja/docs/deployment/concepts.md
* OS上で**実行**している特定のプログラム * これはファイルやコードを指すのではなく、OSによって**実行**され、管理されているものを指します。 * どんなプログラムやコードも、それが**実行されているときにだけ機能**します。つまり、**プロセスとして実行されているときだけ**です。 * プロセスは、ユーザーにあるいはOSによって、 **終了**(あるいは "kill")させることができます。その時点で、プロセスは実行/実行されることを停止し、それ以降は**何もできなくなります**。 * コンピュータで実行されている各アプリケーションは、実行中のプログラムや各ウィンドウなど、その背後にいくつかのプロセスを持っています。そして通常、コンピュータが起動している間、**多くのプロセスが**同時に実行されています。 * **同じプログラム**の**複数のプロセス**が同時に実行されていることがあります。
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docs/en/docs/deployment/concepts.md
### 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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docs/en/docs/tutorial/bigger-applications.md
So, the prefix in this case is `/items`. We can also add a list of `tags` and extra `responses` that will be applied to all the *path operations* included in this router. And we can add a list of `dependencies` that will be added to all the *path operations* in the router and will be executed/solved for each request made to them. !!! tip
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