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docs/en/docs/advanced/openapi-callbacks.md
So we are going to use that same knowledge to document how the *external API* should look like... by creating the *path operation(s)* that the external API should implement (the ones your API will call). !!! tip When writing the code to document a callback, it might be useful to imagine that you are that *external developer*. And that you are currently implementing the *external API*, not *your API*.
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docs/en/docs/tutorial/extra-models.md
```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` and then we call: ```Python user_dict = user_in.dict() ``` we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object). And if we call: ```Python print(user_dict) ``` we would get a Python `dict` with: ```Python {
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docs/en/docs/js/custom.js
} return array; } async function showRandomAnnouncement(groupId, timeInterval) { const announceFastAPI = document.getElementById(groupId); if (announceFastAPI) { let children = [].slice.call(announceFastAPI.children); children = shuffle(children) let index = 0 const announceRandom = () => { children.forEach((el, i) => {el.style.display = "none"});
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docs/en/docs/tutorial/dependencies/index.md
You only give `Depends` a single parameter. This parameter must be something like a function. You **don't call it** directly (don't add the parenthesis at the end), you just pass it as a parameter to `Depends()`. And that function takes parameters in the same way that *path operation functions* do. !!! tip
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docs/en/docs/tutorial/dependencies/sub-dependencies.md
``` ## Using the same dependency multiple times If one of your dependencies is declared multiple times for the same *path operation*, for example, multiple dependencies have a common sub-dependency, **FastAPI** will know to call that sub-dependency only once per request.
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docs/en/docs/features.md
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docs/de/docs/tutorial/dependencies/classes-as-dependencies.md
Der springende Punkt ist, dass eine Abhängigkeit aufrufbar („callable“) sein sollte. Ein „**Callable**“ in Python ist etwas, das wie eine Funktion aufgerufen werden kann („to call“). Wenn Sie also ein Objekt `something` haben (das möglicherweise _keine_ Funktion ist) und Sie es wie folgt aufrufen (ausführen) können: ```Python something() ``` oder ```Python
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docs/en/docs/tutorial/request-files.md
`UploadFile` has the following `async` methods. They all call the corresponding file methods underneath (using the internal `SpooledTemporaryFile`). * `write(data)`: Writes `data` (`str` or `bytes`) to the file. * `read(size)`: Reads `size` (`int`) bytes/characters of the file.
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docs/en/docs/tutorial/query-params-str-validations.md
You could **call** that same function in **other places** without FastAPI, and it would **work as expected**. If there's a **required** parameter (without a default value), your **editor** will let you know with an error, **Python** will also complain if you run it without passing the required parameter.
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docs/en/docs/advanced/async-tests.md
## Other Asynchronous Function Calls As the testing function is now asynchronous, you can now also call (and `await`) other `async` functions apart from sending requests to your FastAPI application in your tests, exactly as you would call them anywhere else in your code. !!! tip
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