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pyproject.toml
"pydantic-extra-types >=2.0.0", ] [tool.hatch.version] path = "fastapi/__init__.py" [tool.mypy] strict = true [[tool.mypy.overrides]] module = "fastapi.concurrency" warn_unused_ignores = false ignore_missing_imports = true [[tool.mypy.overrides]] module = "fastapi.tests.*" ignore_missing_imports = true check_untyped_defs = true [[tool.mypy.overrides]] module = "docs_src.*"
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docs/de/docs/benchmarks.md
Wenn Sie sich die Benchmarks ansehen, werden häufig mehrere Tools mit unterschiedlichen Eigenschaften als gleichwertig verglichen. Konkret geht es darum, Uvicorn, Starlette und FastAPI miteinander zu vergleichen (neben vielen anderen Tools). Je einfacher das Problem, welches durch das Tool gelöst wird, desto besser ist die Performanz. Und die meisten Benchmarks testen nicht die zusätzlichen Funktionen, welche das Tool bietet. Die Hierarchie ist wie folgt:
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docs/en/docs/benchmarks.md
When you check the benchmarks, it is common to see several tools of different types compared as equivalent. Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools). The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool. The hierarchy is like: * **Uvicorn**: an ASGI server
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docs/en/docs/deployment/docker.md
* Using **Kubernetes** or similar tools * When running on a **Raspberry Pi** * Using a cloud service that would run a container image for you, etc. ### Package Requirements You would normally have the **package requirements** for your application in some file. It would depend mainly on the tool you use to **install** those requirements.
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docs/de/docs/external-links.md
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docs/en/docs/external-links.md
# External Links and Articles **FastAPI** has a great community constantly growing. There are many posts, articles, tools, and projects, related to **FastAPI**. Here's an incomplete list of some of them. !!! tip
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docs/de/docs/deployment/docker.md
* Bei Verwendung von **Kubernetes** oder ähnlichen Tools * Beim Betrieb auf einem **Raspberry Pi** * Bei Verwendung eines Cloud-Dienstes, der ein Containerimage für Sie ausführt, usw. ### Paketanforderungen Normalerweise befinden sich die **Paketanforderungen** für Ihre Anwendung in einer Datei. Dies hängt hauptsächlich von dem Tool ab, mit dem Sie diese Anforderungen **installieren**.
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docs/en/docs/alternatives.md
Webargs is a tool that was made to provide that on top of several frameworks, including Flask. It uses Marshmallow underneath to do the data validation. And it was created by the same developers. It's a great tool and I have used it a lot too, before having **FastAPI**. !!! info Webargs was created by the same Marshmallow developers.
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docs/en/docs/tutorial/schema-extra-example.md
``` When you do this, the examples will be part of the internal **JSON Schema** for that body data. Nevertheless, at the <abbr title="2023-08-26">time of writing this</abbr>, Swagger UI, the tool in charge of showing the docs UI, doesn't support showing multiple examples for the data in **JSON Schema**. But read below for a workaround. ### OpenAPI-specific `examples`
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docs/en/docs/deployment/versions.md
```txt fastapi>=0.45.0,<0.46.0 ``` that would mean that you would use the versions `0.45.0` or above, but less than `0.46.0`, for example, a version `0.45.2` would still be accepted. If you use any other tool to manage your installations, like Poetry, Pipenv, or others, they all have a way that you can use to define specific versions for your packages. ## Available versions
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