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docs/en/docs/advanced/behind-a-proxy.md
### Providing the `root_path` To achieve this, you can use the command line option `--root-path` like: <div class="termy"> ```console $ fastapi run main.py --root-path /api/v1 <span style="color: green;">INFO</span>: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` </div> If you use Hypercorn, it also has the option `--root-path`. !!! note "Technical Details"
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docs/fr/docs/deployment/docker.md
# Déployer avec Docker Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment : * Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**. * (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS. * Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.
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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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docs/de/docs/benchmarks.md
# Benchmarks Unabhängige TechEmpower-Benchmarks zeigen, **FastAPI**-Anwendungen, die unter Uvicorn ausgeführt werden, gehören zu <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">den schnellsten existierenden Python-Frameworks</a>, nur Starlette und Uvicorn selbst (intern von FastAPI verwendet) sind schneller.
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docs/ru/docs/benchmarks.md
# Замеры производительности Независимые тесты производительности приложений от TechEmpower показывают, что **FastAPI** под управлением Uvicorn <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">один из самых быстрых Python-фреймворков</a> и уступает только Starlette и Uvicorn (которые используются в FastAPI). (*)
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docs/es/docs/benchmarks.md
# Benchmarks Los benchmarks independientes de TechEmpower muestran aplicaciones de **FastAPI** que se ejecutan en Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l= zijzen-7" class="external-link" target="_blank">uno de los frameworks de Python más rápidos disponibles</a>, solo por debajo de Starlette y Uvicorn (utilizados internamente por FastAPI). (*)
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docs/en/docs/benchmarks.md
# Benchmarks Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">one of the fastest Python frameworks available</a>, only below Starlette and Uvicorn themselves (used internally by FastAPI).
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docs/en/docs/tutorial/middleware.md
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docs/en/docs/advanced/generate-clients.md
## 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*. For example, you could have a section for **items** and another section for **users**, and they could be separated by tags: === "Python 3.9+" ```Python hl_lines="21 26 34" {!> ../../../docs_src/generate_clients/tutorial002_py39.py!} ```
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docs/en/docs/advanced/dataclasses.md
As always, in FastAPI you can combine `def` and `async def` as needed. If you need a refresher about when to use which, check out the section _"In a hurry?"_ in the docs about [`async` and `await`](../async.md#in-a-hurry){.internal-link target=_blank}.
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