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docs/en/docs/tutorial/testing.md
## Separating tests In a real application, you probably would have your tests in a different file. And your **FastAPI** application might also be composed of several files/modules, etc. ### **FastAPI** app file Let's say you have a file structure as described in [Bigger Applications](bigger-applications.md){.internal-link target=_blank}: ``` . ├── app
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docs/fr/docs/tutorial/query-params-str-validations.md
``` !!! note Dans ce cas-là, **FastAPI** ne vérifiera pas le contenu de la liste. Par exemple, `List[int]` vérifiera (et documentera) que la liste est bien entièrement composée d'entiers. Alors qu'un simple `list` ne ferait pas cette vérification. ## Déclarer des métadonnées supplémentaires On peut aussi ajouter plus d'informations sur le paramètre.
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docs/de/docs/help-fastapi.md
* Folgen Sie mir, um zu lesen, wenn ich etwas Neues veröffentliche. ## Über **FastAPI** tweeten <a href="https://twitter.com/compose/tweet?text=Ich liebe @fastapi, weil ... https://github.com/tiangolo/fastapi" class="external-link" target= "_blank">Tweeten Sie über **FastAPI**</a> und teilen Sie mir und anderen mit, warum es Ihnen gefällt. 🎉
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docs/en/docs/alternatives.md
Check more details in the [Deployment](deployment/index.md){.internal-link target=_blank} section. ## Benchmarks and speed
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docs/fr/docs/benchmarks.md
* Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc. * **Starlette** :
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docs/en/docs/release-notes.md
* Composite bodies' IDs are now based on path, not only on route name, as the auto-generated name uses the function names, that can be duplicated in different modules. * The same new ID generation applies to response models. * This also changes the generated title for those models.
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docs/fr/docs/async.md
Par exemple : * Traitements d'**audio** et d'**images**. * La **vision par ordinateur** : une image est composée de millions de pixels, chaque pixel ayant 3 valeurs / couleurs, les traiter tous va nécessiter d'effectuer des traitements sur chaque pixel, et de préférence tous en même temps.
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docs/pt/docs/async.md
--- Exemplos comuns de limite de CPU são coisas que exigem processamento matemático complexo. Por exemplo: * **Processamento de áudio** ou **imagem** * **Visão do Computador**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores (cores, processamento que normalmente exige alguma computação em todos esses pixels ao mesmo tempo)
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docs/pt/docs/tutorial/path-params.md
<img src="/img/tutorial/path-params/image03.png"> ### Trabalhando com os *enumeration* do Python O valor do *parâmetro da rota* será um *membro de enumeration*. #### Compare *membros de enumeration* Você pode comparar eles com o *membro de enumeration* no enum `ModelName` que você criou: ```Python hl_lines="17" {!../../../docs_src/path_params/tutorial005.py!} ```
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docs/pt/docs/features.md
### Validação * Validação para a maioria dos (ou todos?) **tipos de dados** do Python, incluindo: * objetos JSON (`dict`). * arrays JSON (`list`), definindo tipos dos itens. * campos String (`str`), definindo tamanho mínimo e máximo. * Numbers (`int`, `float`) com valores mínimos e máximos, etc. * Validação de tipos mais exóticos, como: * URL. * Email. * UUID.
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